@mastersthesis {6125,
	title = {Ordonnancement d\&$\#$39;une flux de fabrication de type job shop},
	year = {2018},
	author = {Aissaoui Abdelmalik}
}
@mastersthesis {6124,
	title = {Optimisation de d{\'e}lai de fabrication dans un atelier industriel},
	year = {2018},
	author = {Tazeghouisse Hicham}
}
@mastersthesis {6123,
	title = {Description des {\'e}tapes de la m{\'e}thode DDMRP},
	year = {2018},
	author = {Mimoune Nassima}
}
@mastersthesis {6122,
	title = {Probl{\`e}me de lot sizing avec maximisation du revenu},
	year = {2018},
	author = {Berkane Dounia}
}
@mastersthesis {6121,
	title = {Int{\'e}gration des flux de retour avec la planification de production},
	year = {2018},
	author = {Midni Hanane}
}
@mastersthesis {6120,
	title = {Probl{\`e}me de dimensionnement de lots {\`a} capacit{\'e} int{\'e}grant des strat{\'e}gies de maintenance et le retour des produits},
	year = {2018},
	author = {Arab Selma}
}
@mastersthesis {6119,
	title = {Optimisation de la sous-traitance d\&$\#$39;un mat{\'e}riel sous-un partage d\&$\#$39;informations impr{\'e}cises},
	year = {2018},
	author = {Charif Hamdi}
}
@mastersthesis {6118,
	title = {Optimisation  int{\'e}gr{\'e}e production sous-traitance maintenance qualit{\'e}},
	year = {2018},
	author = {Berghout Nedjma}
}
@mastersthesis {6117,
	title = {Programmation lin{\'e}aire en nombres entiers et propagation de contraintes pour le probl{\`e}me d\&rsquo;ordonnancement {\`a} contrainte {\'e}nerg{\'e}tique},
	year = {2018},
	author = {Derradji Samia}
}
@mastersthesis {6116,
	title = {L\&$\#$39;utilisation des R{\'e}seaux Bay{\'e}siens Dynamique pour la pr{\'e}diction de la RUL},
	year = {2018},
	author = {Ghennam Wassila}
}
@mastersthesis {6115,
	title = {Application d\&rsquo;une approche lean manufacturing bas{\'e}e sur le d{\'e}veloppement durable  et  la production verte},
	year = {2018},
	author = {Yahiaoui Yahia}
}
@mastersthesis {6114,
	title = {Mod{\'e}lisation et optimisation d\&rsquo;une chaine d\&rsquo;approvisionnement. Application dans une entreprise alg{\'e}rienne},
	year = {2018},
	author = {Bouali Mouna}
}
@mastersthesis {6113,
	title = {Aide {\`a} la d{\'e}cision pour la ma{\^\i}trise des commandes clients dans une situation incertaine},
	year = {2018},
	author = {Toulilit Hasna}
}
@mastersthesis {6112,
	title = {D{\'e}marche de r{\'e}duction des risques et incertitude dans un syst{\`e}me de production},
	year = {2018},
	author = {Merdaci Ahlam}
}
@mastersthesis {6111,
	title = {Evaluation des couts des risques dans un syst{\`e}me de production},
	year = {2018},
	author = {Oulmane Samiha}
}
@mastersthesis {6110,
	title = {Elaboration d\&rsquo;une plateforme informatique pour la m{\'e}thode d\&rsquo;aide a la d{\'e}cision multicrit{\`e}res \&laquo; WASPAS Floue \&raquo;},
	year = {2018},
	author = {Saadi Nesrine}
}
@mastersthesis {6109,
	title = {Elaboration d\&rsquo;une plateforme informatique pour la m{\'e}thode d\&rsquo;aide a la d{\'e}cision multicrit{\`e}res \&laquo; COPRAS Floue \&raquo;},
	year = {2018},
	author = {Ramdhane Amina}
}
@mastersthesis {6108,
	title = {Choix multicrit{\`e}res d\&rsquo;une zone pour implantation d\&rsquo;un complexe touristique},
	year = {2018},
	author = {Tebba Samia}
}
@mastersthesis {6107,
	title = {Hybridation ARAS/CRITIC Floue pour {\'e}valuer les actions avec sensibilit{\'e}},
	year = {2018},
	author = {Touatit Kenza}
}
@mastersthesis {6106,
	title = {Optimisation d\&rsquo;un flux industriel de type job shop par une m{\'e}thode approch{\'e}e},
	year = {2018},
	author = {Boultif Bahia and Meddour Hasna}
}
@mastersthesis {6105,
	title = {Probl{\`e}me de lot sizing avec Remanufacturing},
	year = {2018},
	author = {Belhissat  Halima}
}
@mastersthesis {6063,
	title = {D{\'e}veloppement d\&rsquo;un syst{\`e}me d\&rsquo;information et d\&rsquo;aide a la d{\'e}cision pour l\&rsquo;{\'e}laboration d\&rsquo;un programme de recyclage d\&rsquo;{\'e}quipements {\'e}lectroniques en Alg{\'e}rie : Cas des Micro-ordinateurs},
	year = {2018},
	author = {Hamouda Karima}
}
@mastersthesis {6010,
	title = {Application d\&rsquo;une approche lean manufacturing bas{\'e}e sur le d{\'e}veloppement durable  et  la production verte},
	year = {2018},
	author = {Yahiaoui Yahia}
}
@mastersthesis {6009,
	title = {Mod{\'e}lisation et optimisation d\&rsquo;une chaine d\&rsquo;approvisionnement. Application dans une entreprise alg{\'e}rienne},
	year = {2018},
	author = {Bouali Mouna}
}
@mastersthesis {6008,
	title = {Aide {\`a} la d{\'e}cision pour la ma{\^\i}trise des commandes clients dans une situation incertaine},
	year = {2018},
	author = {Toulilit Hasna}
}
@mastersthesis {5990,
	title = {RCM++ pour l\&rsquo;{\'e}laboration d\&rsquo;un plan de maitrise des risques pour un processus hospitalier \&laquo; pr{\'e}paration d\&rsquo;un moniteur de dialyse \&raquo;},
	year = {2018},
	author = {Boudibi Rania}
}
@mastersthesis {5989,
	title = {RCM++ pour l\&rsquo;{\'e}laboration d\&rsquo;un plan de maitrise des risques pour un processus hospitalier \&laquo; d{\'e}roulement d\&rsquo;une s{\'e}ance de dialyse \&raquo;},
	year = {2018},
	author = {Yahyaoui Teldja}
}
@mastersthesis {5988,
	title = {Elaboration d\&$\#$39;un tableau de bord connaissances},
	year = {2018},
	author = {Mebarki Amel}
}
@mastersthesis {5987,
	title = {Plateforme de Gestion {\'e}lectronique des documents},
	year = {2018},
	author = {Driass Walid}
}
@mastersthesis {5986,
	title = {Contribution {\`a} l\&$\#$39;optimisation des strat{\'e}gies de maintenance des syst{\`e}mes complexes sous contraintes de ressources},
	year = {2018},
	author = {Hamad Yamina}
}
@mastersthesis {5985,
	title = {Algorithme g{\'e}n{\'e}tique pour l\&rsquo;optimisation de la formation des cellules de production},
	year = {2018},
	author = {Day Nor-Elyakine}
}
@mastersthesis {5984,
	title = {Optimisation d\&rsquo;avance et retards des jobs d\&rsquo;un ordonnancement de production et de maintenance (Pr{\'e}ventive et corrective)},
	year = {2018},
	author = {Boudaouad Wassila}
}
@mastersthesis {5983,
	title = {Algorithme g{\'e}n{\'e}tique pour l\&rsquo;optimisation multi crit{\`e}re de l\&rsquo;ordonnancement dans l\&rsquo;industrie pharmaceutique},
	year = {2018},
	author = {Boudarn Mebarka}
}
@mastersthesis {5982,
	title = {programmation avec Matlab de la m{\'e}thode EDD sur un probl{\`e}me d\&rsquo;ordonnancement job shop},
	year = {2018},
	author = {Djaghrouri Zina}
}
@mastersthesis {5981,
	title = {Ordonnancement de la production Job shop avec ressources consommable},
	year = {2018},
	author = {Chatouf Sihem}
}
@mastersthesis {5980,
	title = {Data Mining pour l\&rsquo;acquisition des connaissances. Master en G{\'e}nie Industriel option \&laquo;Management Industriel\&raquo;},
	year = {2018},
	author = {Louafi Manel}
}
@mastersthesis {5979,
	title = {Supervision d\&rsquo;un syst{\`e}me industriel, Master en G{\'e}nie Industriel option \&laquo;G{\'e}nie Industriel\&raquo;},
	year = {2018},
	author = {Madjour Hassina}
}
@mastersthesis {5978,
	title = {Syst{\`e}me neuro-flou pour la surveillance industrielle},
	year = {2018},
	author = {Abbes Fouad}
}
@book {5953,
	title = {Le Management des Connaissances Pour les Syst{\`e}mes de Production, ISBN-10 : 3841674321 / ISBN-13 : 978-3841674326},
	year = {2018},
	pages = {336 pages},
	publisher = {Editions universitaires europ{\'e}ennes},
	organization = {Editions universitaires europ{\'e}ennes},
	abstract = {Le projet de notre ouvrage a consist{\'e} au d{\'e}veloppement d{\textquoteright}un syst{\`e}me de e_management de connaissances e-KnowSphere 1.0, utilisant la m{\'e}thode propos{\'e}e SKACICM, appliqu{\'e}e au syst{\`e}me industriel SCIMAT Batna, Alg{\'e}rie. Elle est le r{\'e}sultat d{\textquoteright}une hybridation de SKANDIA adapt{\'e}e (ASKANDIA), du mod{\`e}le CICM am{\'e}lior{\'e} (ACICM), de la veille {\'e}conomique et de l{\textquoteright}aide {\`a} la d{\'e}cision. e-KnowSphere 1.0 est une plateforme flexible permettant ; (1) le management de connaissances, de l{\textquoteright}innovation et de la propri{\'e}t{\'e} intellectuelle ; (2) le management des comp{\'e}tences ; la veille {\'e}conomique via un g{\'e}n{\'e}rateur de e-sondage universel (STL 1.0) ; l{\textquoteright}aide {\`a} la d{\'e}cision dans un milieu perturb{\'e} et tableaux de bord (SIAD SCIMAT 2.0). La plateforme a permis une instauration d{\textquoteright}une nouvelle culture ; la collaboration et le partage de connaissances, pour la sauvegarde des expertises et l{\textquoteright}am{\'e}lioration des performances.},
	url = {https://www.amazon.co.uk/Management-Connaissances-Pour-Syst\%C3\%A8mes-Production/dp/3841674321/ref=sr_1_1?qid=1560625623\&refinements=p_27\%3ASamia+Aitouche\&s=books\&sr=1-1},
	author = {Aitouche Samia and Mouss Med Djamel and Mouss Nadia Kinza}
}
@mastersthesis {5951,
	title = {D{\'e}veloppement d\&rsquo;une Approche hybride multi- crit{\`e}res bas{\'e}e clustering pour la r{\'e}solution d\&rsquo;un probl{\`e}me de distribution de produits},
	year = {2018},
	author = {Guezouli Lahcene}
}
@mastersthesis {5885,
	title = {Exploitation des indicateurs de Performances dans une entreprise cas Entreprise Biskria ciment},
	year = {2018},
	author = {Lanabi Ahmed}
}
@mastersthesis {5884,
	title = { Programmation de la m{\'e}thode du simplexe r{\'e}vis{\'e}},
	year = {2018},
	author = {Bouaicha Afaf}
}
@mastersthesis {5883,
	title = {{\'E}tude et programmation de la m{\'e}thode de calcul de flots maximum dans un r{\'e}seau routier constitu{\'e} de n villes: Utilisation de l\&$\#$39;algorithme de Ford-Fulkerson},
	year = {2018},
	author = {Zekegh Samah}
}
@mastersthesis {5882,
	title = {Exploitation et ma{\^\i}trise des indicateurs  de performance dans un syst{\`e}me industriel \&laquo; cas pratique \&raquo;},
	year = {2018},
	author = {Bouleghlem Ahmed Khalil et and Bechiri Abderrahmane}
}
@mastersthesis {5881,
	title = {Data Mining pour l\&rsquo;acquisition des connaissances},
	year = {2018},
	author = {Louafi Manel}
}
@mastersthesis {5880,
	title = {Supervision d\&rsquo;un syst{\`e}me industriel, Master en G{\'e}nie Industriel option \&laquo;G{\'e}nie Industriel},
	year = {2018},
	author = {Madjour Hassina}
}
@mastersthesis {5879,
	title = {Syst{\`e}me neuro-flou pour la surveillance industrielle,Master en G{\'e}nie Industriel option \&laquo;G{\'e}nie Industriel et Productique\&raquo;},
	year = {2018},
	author = {Abbas Fouad}
}
@mastersthesis {5878,
	title = {Proposition d\&rsquo;une d{\'e}marche de d{\'e}veloppement durable au service de la conception d\&rsquo;une chaine logistique \&laquo; Cas pratique \&raquo;},
	year = {2018},
	author = {Mounib Imen}
}
@mastersthesis {5877,
	title = {Organisation d\&rsquo;une chaine logistique hospitali{\`e}re \&laquo; Cas  pratique \&raquo; Master en G{\'e}nie Industriel option \&laquo;Ing{\'e}nierie Logistique\&raquo;},
	year = {2018},
	author = {Fertass Assia}
}
@mastersthesis {5876,
	title = {Etude comparative de syst{\`e}me de contr{\^o}le distribu{\'e} (DCS distributed  contr{\^o}l system et leur mise a niveau},
	year = {2018},
	author = {Boughazi Zine eddine}
}
@mastersthesis {5875,
	title = {Conduite d\&$\#$39;un syst{\`e}me de production dans une optique de management de qualit{\'e} Master en G{\'e}nie Industriel option \&laquo;Management Industriel\&raquo;},
	year = {2018},
	author = {Gouaref Aimane}
}
@mastersthesis {5874,
	title = {Am{\'e}lioration de la qualit{\'e} de produit {\`a} l\&$\#$39;aide de l\&$\#$39;IIOT Master en Electrom{\'e}canique option \&laquo;M{\'e}catronique\&raquo;},
	year = {2018},
	author = {Habchi Salah Eddin}
}
@mastersthesis {5873,
	title = {S{\'e}curit{\'e} des  ouvriers dans une usine intelligente},
	year = {2018},
	author = {Sersa Ibrahim}
}
@mastersthesis {5872,
	title = {la maintenance pr{\'e}dictive dans l\&rsquo;industrie},
	year = {2018},
	author = {Bentoumi Hamza}
}
@mastersthesis {5871,
	title = {Reconnaissance de la parole bas{\'e}e sur les techniques MFCC et DTW},
	year = {2018},
	author = {Dilmi Abdennour}
}
@mastersthesis {5824,
	title = { Contribution {\`a} la surveillance des syst{\`e}mes de production par les syst{\`e}mes Multi-Agents Collectifs},
	year = {2018},
	author = {Chouhal Ouahiba}
}
@mastersthesis {5823,
	title = { T{\'e}l{\'e}- contr{\^o}le et les techniques d\&$\#$39;IA pour un syst{\`e}me de conduite a distance},
	year = {2018},
	author = {Zermanr Hanane}
}
@mastersthesis {5757,
	title = {Diagnostic d\&$\#$39;une vanne d\&$\#$39;admission d\&$\#$39;air},
	year = {2018},
	author = {Aila Med Redha}
}
@mastersthesis {5756,
	title = {Multi-class SVM: Supervised Classification Technique for High-dimensional Data: Applications to production system monitoring},
	year = {2018},
	author = {Kherbache Abdelghani}
}
@mastersthesis {5755,
	title = { Extreme learning machines for faults classification and regression of production systems},
	year = {2018},
	author = {Louchene Housseim Eddine}
}
@mastersthesis {5754,
	title = {Performance of deep convolutional neural networks for the production systems monitoring},
	year = {2018},
	author = {Megaache Zineb}
}
@mastersthesis {5753,
	title = {Navigation d\&$\#$39;un robot mobile sous contraintes d\&$\#$39;obstacles},
	year = {2018},
	author = {Chelaghma Sara}
}
@mastersthesis {5752,
	title = {Impl{\'e}mentation d\&$\#$39;une application pour distribues les informations des probl{\`e}mes d\&$\#$39;ordonnancements},
	year = {2018},
	author = {Bounouara Sara}
}
@mastersthesis {5751,
	title = {Application de la technique d\&$\#$39;apprentissage approfondie \&quot;deep learning \&quot; au pronostic a base de donn{\'e}es},
	year = {2018},
	author = {Karrech Azzeddine}
}
@mastersthesis {5750,
	title = {R{\'e}diction de la vitesse de progression de forage p{\'e}trolier (ROP) {\`a} laide l\&$\#$39;algorithme des for{\^e}ts al{\'e}atoires distribu{\'e}},
	year = {2018},
	author = {Djenane Asma}
}
@mastersthesis {5749,
	title = { Supervision d\&rsquo;un refroidisseur d\&rsquo;un four rotatif d\&rsquo;une cimenterie utilisant PCS 7},
	year = {2018},
	author = {Bachiri Zakaria}
}
@mastersthesis {5748,
	title = {R{\'e}alisation d\&rsquo;un syst{\`e}me de maintenance pr{\'e}dictive utilisant RapideMiner},
	year = {2018},
	author = {Bouzidi Seif Eddine}
}
@mastersthesis {5747,
	title = {Utilisation des R{\'e}seaux de Neurones Artificiels pour la supervision d\&rsquo;un processus industriel},
	year = {2018},
	author = {Bensakhria Hocine}
}
@mastersthesis {5746,
	title = {Processus Gaussien, pour la pr{\'e}vision des stocks},
	year = {2018},
	author = {Zender Ilyes}
}
@mastersthesis {5745,
	title = {Contr{\^o}le de qualit{\'e} des produits alimentaires par r{\'e}seaux de neurones artificiels.},
	year = {2018},
	author = {Hafani Raoua}
}
@mastersthesis {5744,
	title = {Pr{\'e}diction de la consommation de l\&rsquo;{\'e}nergie {\'e}lectrique avec la technique Extr{\^e}me Learning Machines},
	year = {2018},
	author = {Chettouh Amina}
}
@book {5719,
	title = {An approach Multi-Agent Systems and emergence for maintenance, ISBN-10 : 6133995718 / ISBN-13 : 978-6133995710},
	year = {2018},
	pages = {144 pages},
	publisher = { LAP LAMBERT Academic Publishing},
	organization = { LAP LAMBERT Academic Publishing},
	abstract = {The main objective of our book is to propose hybrid approaches based on MAS on one side, and the exploitation of emergences methods such as Genetic Algorithms (GA) and the algorithms of Artificial Immune System (AIS) to better integrate systematic preventive maintenance policies in scheduling workshops. The objective is to minimize the time of executions during the course of scheduling. We use advanced operators; the random key for encoding, the selection of classification, the uniform crossover and single point mutation. Furthermore, we have defined a new affinity calculation procedure within the FSHMAIA approach. This procedure is based on the calculation of similarity ratio for each antibody. For this, we have proposed an algorithm based on four criterions for calculating the ratio of similarity. We also evaluated the adaptations of some well-known heuristics, including Johnson (m / 2, m / 2) NEHH, PCDT and PLDT, The originality of this work lies in the use of MAS with GA and AIS in the integration of systematic preventive maintenance policies in a hybrid flow shop scheduling.},
	url = {https://www.amazon.fr/Approach-Multi-Agent-Systems-Emergence-Maintenance/dp/6133995718},
	author = {Abdelhadi Adel and Kadri Ouahab}
}
@proceedings {5201,
	title = {Optimisation de la durabilit{\'e} d\&rsquo;un syst{\`e}me de Production hybride manufacturing/remanufacturing dans la chaine logistique {\`a} boucle ferm{\'e}e},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Mehanaoui R}
}
@proceedings {5196,
	title = {Ordonnancement d\&rsquo;un Syst{\`e}me de production pour une Gestion Optimale d\&rsquo;Energie},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bouakkaz A}
}
@proceedings {5195,
	title = {Contribution {\`a} l\&rsquo;am{\'e}lioration de mesure de la performance de la chaine logistique d\&rsquo;un syst{\`e}me de production complexe par une maitrise conjointe du lean sigma et la th{\'e}orie des contraintes},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bouzidi H}
}
@proceedings {5194,
	title = {Mod{\`e}les int{\'e}gr{\'e}s de production, de sous-traitance, de qualit{\'e} et de maintenance dans une cha{\^\i}ne logistique en boucle ferm{\'e}e},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Gacem A}
}
@proceedings {5193,
	title = {Am{\'e}lioration du DDMRP (Demand Driven MRP)},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Benchadi Y}
}
@proceedings {5192,
	title = {Gestion des approvisionnements et des {\'e}changes de produits {\'e}quivalents dans les r{\'e}seaux logistiques multi niveau : Coop{\'e}ration plusieurs entreprises},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Benfriha L}
}
@proceedings {5191,
	title = {L\&rsquo;apport des r{\'e}seaux d\&rsquo;automates stochastiques pour la mod{\'e}lisation et l\&rsquo;{\'e}valuation des performances des syst{\`e}mes de production a grand espace d\&rsquo;{\'e}tat},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Belferhi Amor}
}
@proceedings {5190,
	title = {Contribution {\`a} la Pr{\'e}vision a Base d\&rsquo;Analyse Stochastique Multicrit{\`e}re Participative, des Performances d\&rsquo;un Syst{\`e}me de production Industriel},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bouhidel lynda}
}
@proceedings {5189,
	title = {Techniques d\&rsquo;Am{\'e}lioration de la Tra{\c c}abilit{\'e} pour l\&rsquo;Optimisation d\&rsquo;une Cha{\^\i}ne Logistique},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Smaili Yamina}
}
@proceedings {5188,
	title = {Contribution {\`a} l\&rsquo;{\'e}valuation fonctionnelle des syst{\`e}mes industriels pour la maitrise des risques},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Zeghdani S}
}
@proceedings {5187,
	title = {Proposition d\&rsquo;un syst{\`e}me de tra{\c c}abilit{\'e} et location {\`a} l\&rsquo;aide des r{\'e}seaux sans fils},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Mehanaoui R}
}
@proceedings {5183,
	title = {Lot-sizing avec optimisation des profits (\&quot;revenue management\&quot;).},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Boutarfa Youcef}
}
@proceedings {5182,
	title = {Int{\'e}gration des probl{\`e}mes de lot Sizing et d\&rsquo;ordonnancement dans les ateliers type Flow Shop},
	journal = {JD{\textquoteright}2017 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Belbedj Farid}
}
@article {5155,
	title = {Enhancement of the competitiveness and the financial capability of a manufacturing process through a new Value Stream Mapping approach, ISSN / e-ISSN 1746-6474 / 1746-6482},
	journal = {International Journal of Productivity and Quality Management},
	year = {2018},
	abstract = {The organisations having a futuristic look and aiming to impose their presence in the industrial field for a long possible term, are seeking for finding solutions linked to controlling their cash flow and assessing their competitiveness performances. Therefore, the purpose of this paper is to propose a new quality and cost value stream mapping for monitoring the costs consumption and assessing the competitiveness of a company. We use three key concepts namely life cycle costing for estimation of the most influential costs on the manufacturing process, the weighted DPMO and Sigma level for assessing the quality level and the competitiveness of the company. Finally, the data obtained are mapped using value stream mapping method for enabling the determination of dysfunctions in the cost and quality context.},
	url = {https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijpqm},
	author = {Soltani Mohyiddine and Aouag Hichem and Mouss Mohamed Djamel}
}
@article {5152,
	title = {Efficient Golden-Ball Algorithm Based Clustering to solve the Multi-Depot VRP With Time Windows, ISSN / e-ISSN  1942-3608 / 1942-3594},
	journal = {International Journal of Applied Evolutionary Computation (IJAEC)},
	volume = {Vol 9},
	number = {Issue 1},
	year = {2018},
	pages = {1-16},
	abstract = {In this article, the authors propose a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of multiple available depots and a time window which must not be violated, that they call the Multi-Depot Vehicle Routing Problem with Time Window (MDVRPTW), and with respecting a set of criteria including: schedules requests from clients, the capacity of vehicles. The authors solve this problem by proposing a recently published technique based on soccer concepts, called Golden Ball (GB), with different solution representation from the original one, this technique was designed to solve combinatorial optimization problems, and by embedding a clustering algorithm. Computational results have shown that the approach produces acceptable quality solutions compared to the best previous results in similar problem in terms of generated solutions and processing time. Experimental results prove that the proposed Golden Ball algorithm is efficient and effective to solve the MDVRPTW problem.},
	url = {https://www.researchgate.net/publication/323466976_Efficient_Golden-Ball_Algorithm_Based_Clustering_to_solve_the_Multi-Depot_VRP_With_Time_Windows},
	author = {Guezouli Lahcene and Bensakhria Mohamed and Abdelhamid Samir}
}
@article {5151,
	title = {Multi-objective optimization using genetic algorithm based clustering for multi- depot heterogeneous fleet vehicle routing problem with time windows, ISSN / e-ISSN  1757-585 / 1757-5869},
	journal = {International Journal of Mathematics in Operational Research},
	volume = {Vol 13},
	number = {Issue 3},
	year = {2018},
	pages = {30-48},
	abstract = {Efficient routing and scheduling of vehicles has significant economic implications for both the public and private sectors. For this purpose, we propose in this study a decision support system which aims to optimise the classical capacitated vehicle routing problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that we call the multi-depot heterogeneous vehicle routing problem with time window (MDHVRPTW) by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and we solve this problem by proposing a new scheme based on the application of the bio-inspired genetic algorithm heuristics and by embedding a clustering algorithm within a VRPTW optimisation frame work, that we will specify later. Computational experiments with the benchmark test instances confirm that our approach produces acceptable quality solutions compared with the best previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that our proposed genetic algorithm is effective in solving the MDHVRPTW problem and hence has a great potential.},
	url = {https://www.researchgate.net/publication/327901926_Multi-objective_optimisation_using_genetic_algorithm_based_clustering_for_multi-depot_heterogeneous_fleet_vehicle_routing_problem_with_time_windows},
	author = {Guezouli Lahcene and Abdelhamid Samir}
}
@article {5146,
	title = {Heuristics Based on Genetic Algorithms for the Capacitated Multi Vehicle Production Distribution Problem, ISSN / e-ISSN 0305-0548 / 1873-765X},
	journal = {Computers \& Operations Research},
	volume = {Volume 96},
	year = {2018},
	pages = {108-119},
	abstract = {In this paper, we consider the integration of production, inventory and distribution decisions in a supply chain composed of one production facility supplying several retailers located in the same region. The supplier is far from the retailers compared to the distance between retailers. Thus, the traveling cost of each vehicle from the supplier to the region is assumed to be fixed and there is a fixed delivery (service) cost for each visited retailer. The objective is to minimize the sum of the costs at the production facility and at the retailers. The problem is more general than the One-Warehouse Multi-Retailer problem and is a special case of the Production Routing Problem. Five heuristics based on a Genetic Algorithm are proposed to solve the problem. In particular, three of them include the resolution of a Mixed Integer Program as subproblem to generate new individuals in the population. The results show that the heuristics can find optimal solutions for small and medium size instances. On large instances, the gaps obtained by the heuristics in less than 300\&nbsp;s are better than the ones obtained by a standard solver in two hours.},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0305054818301011},
	author = {Senoussi Ahmed and Dauz{\`e}re-P{\'e}r{\`e}s St{\'e}phane and Brahimi Nadjib and Penz Bernard and Moussa Nadia Kinza}
}
@proceedings {5144,
	title = {Efficient Approach for Parallel Machine Scheduling Problem},
	journal = {International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)},
	year = {2018},
	author = {Hadri Abdelkader}
}
@proceedings {5143,
	title = {Control of inhalation anesthesia using fuzzy logic},
	journal = {Industrial Engineering and Operations Management},
	year = {2018},
	author = {Brahmi Samira}
}
@proceedings {5142,
	title = {Supervision of an Industrial Process of Milk Production using Fuzzy Logic},
	journal = {Industrial Engineering and Operations Management},
	year = {2018},
	author = {Brahmi Samira}
}
@proceedings {5140,
	title = {Relative bibliometrics of intellectual capital and knowledge management in SCOPUS},
	journal = {Industrial Engineering and Operations Management},
	year = {2018},
	author = {Aitouche Samia}
}
@proceedings {5139,
	title = {Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge},
	journal = {International Conference on Information, Process, and Knowledge Management},
	year = {2018},
	author = {Zermane Hanane and Aitouche Samia}
}
@proceedings {5138,
	title = {A strategic method for steering a photovoltaic generator},
	journal = {International Conference on Information, Process, and Knowledge Management},
	year = {2018},
	author = {Bouhafna Khyreddine and Aitouche Samia}
}
@article {5124,
	title = {Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems, ISSN / e-ISSN 0924-669X / 1573-7497},
	journal = {Applied Intelligence volume},
	volume = {Volume 48},
	number = {Issue 5},
	year = {2018},
	pages = {3143{\textendash}3160},
	abstract = {This paper is concerned with fault detection and diagnosis problem in manufacturing systems. In such industrial environment, production systems are subject to several faults caused by a number of factors including the environment, the accumulated wearing, usage, etc. However, due to the lack of accuracy or fluctuation of data, it is oftentimes impossible to evaluate precisely the correct classification rate of faults. In order to classify each type of fault, neural networks and fuzzy logic are two different intelligent diagnosis methods that are more applied now, and each has its own advantages and disadvantages. A new hybrid fault diagnosis approach is introduced in this paper that considers the combined learning algorithm and knowledge base (Fuzzy rules) to handle ambiguous and even erroneous information. Therefore, to enhance the classification accuracy, three perceptron models including: linear perceptron (LP), multilayer perceptron (MLP) and fuzzy perceptron (FP) have been respectively established and compared. The conditional risk function {\textquotedblleft}PDF{\textquotedblright} that measures the expectation of loss when taking an action is presented at the same time. We evaluate the proposed hybrid approach {\textquotedblleft}Variable Learning Rate Gradient Descent with Bayes{\textquoteright} Maximum Likelihood formula{\textquotedblright} VLRGD-BML on dataset of milk pasteurization process and compare our approach with other similar published works for fault diagnosis in the literature. Comparative results indicate the higher efficiency and effectiveness of the proposed approach with fuzzy perceptron for uncertain fault diagnosis problem.},
	url = {https://link.springer.com/article/10.1007/s10489-017-1132-8},
	author = {Djelloul Imene and Sari Zaki and Latreche Khaled}
}
@proceedings {5110,
	title = {Supervision de Robot Manipulateur virtuel  par Les r{\'e}seaux de neurones et les r{\'e}seaux de Petri},
	journal = {JD{\textquoteright}2019 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Grieb Ouahab}
}
@proceedings {5109,
	title = {Mise en place d\&rsquo;un syst{\`e}me de contr{\^o}le et de supervision pour le champ p{\'e}trolier de Gassi El Agreb},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Rahmouni Brahim}
}
@proceedings {5108,
	title = {Un Syst{\`e}me d\&rsquo;aide {\`a} la d{\'e}cision appliqu{\'e} au GPS pilot{\'e} par la voix humaine \&laquo; cas de distribution de produits \&raquo;},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Guezouli Lahcene}
}
@proceedings {5107,
	title = {Contribution au Diagnostic des Pannes pour les Syst{\`e}mes Eoliens},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Soussa Abdelkrim}
}
@proceedings {5106,
	title = {Dialogue Homme Machine appliqu{\'e} {\`a} la langue arabe standard (speech To speech STS):Application serveur vocal d\&rsquo;une banque},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Menzer Hilal}
}
@proceedings {5105,
	title = {Approche de l\&rsquo;usine intelligente dans l\&rsquo;industrie 4.0, en utilisant le concept d\&rsquo;internet objets},
	journal = {JD{\textquoteright}2018 Journ{\'e}es des doctorants, Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bouhafna Kheyreddine}
}
@conference {5080,
	title = {Bi-directional Recurrent End-to-End Neural Network Classifier for Spoken Arab Digit Recognition},
	booktitle = {ICNLSP 2018,  International Conference on Natural Language and Speech Processing},
	year = {2018},
	abstract = {Automatic Speech Recognition can be considered as a transcription of spoken utterances into text which can be used to monitor/command a specific system. In this paper, we propose a general end-to-end approach to sequence learning that uses Long Short-Term Memory (LSTM) to deal with the non-uniform sequence length of the speech utterances. The neural architecture can recognize the Arabic spoken digit spelling of an isolated Arabic word using a classification methodology, with the aim to enable natural human-machine interaction. The proposed system consists to, first, extract the relevant features from the input speech signal using Mel Frequency Cepstral Coefficients (MFCC) and then these features are processed by a deep neural network able to deal with the non uniformity of the sequences length. A recurrent LSTM or GRU architecture is used to encode sequences of MFCC features as a fixed size vector that will feed a multilayer perceptron network to perform the classification. The whole neural network classifier is trained in an end-to-end manner. The proposed system outperforms by a large gap the previous published results on the same database.},
	url = {https://www.researchgate.net/publication/325637507_Bi-directional_recurrent_end-to-end_neural_network_classifier_for_spoken_Arab_digit_recognition},
	author = {Zermane Hanane}
}
@proceedings {5079,
	title = {Control of inhalation anesthesia using fuzzy logic},
	journal = { IEOM 2018 Industrial Engineering and Operations Management July 26-27 Paris, France},
	year = {2018},
	url = { http://ieomsociety.org/paris2018/},
	author = {Zermane Hanane}
}
@proceedings {5078,
	title = {Supervision of an Industrial Process of Milk Production using Fuzzy Logi  },
	journal = { IEOM 2018 Industrial Engineering and Operations Management July 26-27 Paris, France},
	year = {2018},
	abstract = {Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this work, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic},
	url = {http://www.ieomsociety.org/paris2018/papers/321.pdf},
	author = {Zermane Hanane}
}
@proceedings {5071,
	title = {Proposal of a flexible and universal survey generator for a Business Intelligence},
	journal = {  CEIT 2018 6th International Conference on Control Engineering and Information Technologies 25-27 Octobre Istambul, Turkie},
	year = {2018},
	url = {https://www.aconf.org/conf_161367.html},
	author = {Aitoche Samia}
}
@proceedings {5070,
	title = {Management des comp{\'e}tences dans l\&rsquo;entreprise et sa relation avec la formation},
	journal = { ISKO Maghreb 2018 (International Society for Knowledge Organization 25-26 Novembre, Bejaia, Alg{\'e}rie},
	year = {2018},
	url = { https://isko-maghreb2018.loria.fr/}
}
@proceedings {5069,
	title = {Relative scientometric analysis of knowledge management journals in SCOPUS },
	journal = {PAIS 2018  The 3rd International Conference on Pattern Analysis and Intelligent Systems 24-25 Octobre Tebessa, Alg{\'e}rie},
	year = {2018},
	url = { https://hal.archives-ouvertes.fr/hal-01970974/document},
	author = {Aitouche Samia}
}
@proceedings {5068,
	title = {Relative bibliometrics of intellectual capital and knowledge management in SCOPUS  ISSN: 2169-876    ISBN: 978-1-5323-5944-6-3},
	journal = {IOEM2018. Industrial Engineering and Operations Management 26-27Juillet Paris, France},
	year = {2018},
	url = {http://ieomsociety.org/paris2018/},
	author = {Latreche Khaled}
}
@proceedings {5067,
	title = {A strategic method for steering a photovoltaic generator ISSN: 2308-4375, ISBN: 978-1-61208-620-0},
	journal = {EKNOW 2018 International Conference on Information, Process, and Knowledge Management},
	year = {2018},
	pages = {50-55, 25-29 },
	url = {https://www.thinkmind.org/index.php?view=article\&articleid=eknow_2018_3_30_68009},
	author = {Bouhafna Khereydine}
}
@proceedings {5066,
	title = {
	Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge ISSN: 2169-876    ISBN: 978-1-5323-5944-6


 

},
	journal = {EKNOW 2018 International Conference on Information, Process, and Knowledge Management},
	year = {2018},
	pages = {44-49, 25-29 },
	url = {https://www.thinkmind.org/index.php?view=article\&articleid=eknow_2018_3_30_68009},
	author = {Zermane Hanane}
}
@article {5049,
	title = {Efficient Golden-Ball Algorithm Based Clustering to solve the Multi-Depot VRP With Time Windows, ISSN / e-ISSN 1942-3594 / 1942-3608},
	journal = {International Journal of Applied Evolutionary Computation},
	volume = {9},
	number = {1},
	year = {2018},
	pages = {1-16},
	abstract = {In this article, the authors propose a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of multiple available depots and a time window which must not be violated, that they call the Multi-Depot Vehicle Routing Problem with Time Window (MDVRPTW), and with respecting a set of criteria including: schedules requests from clients, the capacity of vehicles. The authors solve this problem by proposing a recently published technique based on soccer concepts, called Golden Ball (GB), with different solution representation from the original one, this technique was designed to solve combinatorial optimization problems, and by embedding a clustering algorithm. Computational results have shown that the approach produces acceptable quality solutions compared to the best previous results in similar problem in terms of generated solutions and processing time. Experimental results prove that the proposed Golden Ball algorithm is efficient and effective to solve the MDVRPTW problem.},
	url = {https://pdfs.semanticscholar.org/03af/ae92ff6294d650339e9122c883b16a36e35a.pdf },
	author = {Guezouli Lahcene and Bensakhria Mohamed and Abdelhamid Samir}
}
@article {5048,
	title = {Multi-objective optimization using genetic algorithm based clustering for multi- depot heterogeneous fleet vehicle routing problem with time windows, ISSN / e-ISSN 1757-5850 / 1757-5869},
	journal = {International Journal of Mathematics in Operational Research},
	volume = {Vol 13},
	number = { Issue 3},
	year = {2018},
	pages = {30-48},
	abstract = {Efficient routing and scheduling of vehicles has significant economic implications for both the public and private sectors. To this purpose, we propose in this study a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that we call the Multi-Depot Heterogeneous Vehicle Routing Problem with Time Window (MDHVRPTW) by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and we solve this problem by proposing a new scheme based on the application of the bio-inspired genetic algorithm heuristics and by embedding a clustering algorithm within a VRPTW optimization frame work, that we will specify later. Computational experiments with the benchmark test instances confirm that our approach produces acceptable quality solutions compared with the best previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that our proposed genetic algorithm is effective in solving the MDHVRPTW problem and hence has a great potential.},
	url = {https://www.researchgate.net/publication/327901926_Multi-objective_optimisation_using_genetic_algorithm_based_clustering_for_multi-depot_heterogeneous_fleet_vehicle_routing_problem_with_time_windows},
	author = {Guezouli Lahcene and Abdelhamid Samir}
}
@article {5047,
	title = { A New Multi-Criteria Solving Procedure for Multi-Depot FSM-VRP with Time Window, ISSN / e-ISSN 2155-4153 /  2155-4161},
	journal = { International Journal of Applied Industrial Engineering IJAIE},
	volume = {4},
	number = {1},
	year = {2018},
	pages = {1-18},
	abstract = {One of the most important combinatorial optimization problems is the transport problem, which has been associated with many variants such as the HVRP and dynamic problem. The authors propose in this study a decision support system which aims to optimize the classical Capacitated Vehicle Routing Problem by considering the existence of different vehicle types (with distinct capacities and costs) and multiple available depots, that the authors call the Multi-Depot HVRPTW by respecting a set of criteria including: schedules requests from clients, the heterogeneous capacity of vehicles..., and the authors solve this problem by proposing a new scheme based on a genetic algorithm heuristics that they will specify later. Computational experiments with the benchmark test instances confirm that their approach produces acceptable quality solutions compared with previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that the method of genetic algorithm heuristics is effective in solving the MDHVRPTW problem and hence has a great potential.},
	url = {https://www.igi-global.com/gateway/article/173693$\#$pnlRecommendationForm},
	author = {Guezouli Lahcene and Abdelhamid Samir}
}
@article {5038,
	title = {Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems ISSN /e-ISSN  0924-669X / 1573-7497},
	journal = {Applied Intelligence},
	volume = {Volume 48},
	number = {Issue 5},
	year = {2018},
	abstract = {This paper is concerned with fault detection and diagnosis problem in manufacturing systems. In such industrial environment, production systems are subject to several faults caused by a number of factors including the environment, the accumulated wearing, usage, etc. However, due to the lack of accuracy or fluctuation of data, it is oftentimes impossible to evaluate precisely the correct classification rate of faults. In order to classify each type of fault, neural networks and fuzzy logic are two different intelligent diagnosis methods that are more applied now, and each has its own advantages and disadvantages. A new hybrid fault diagnosis approach is introduced in this paper that considers the combined learning algorithm and knowledge base (Fuzzy rules) to handle ambiguous and even erroneous information. Therefore, to enhance the classification accuracy, three perceptron models including: linear perceptron (LP), multilayer perceptron (MLP) and fuzzy perceptron (FP) have been respectively established and compared. The conditional risk function "PDF" that measures the expectation of loss when taking an action is presented at the same time. We evaluate the proposed hybrid approach "Variable Learning Rate Gradient Descent with Bayes{\textquoteright} Maximum Likelihood formula" VLRGD-BML on dataset of milk pasteurization process and compare our approach with other similar published works for fault diagnosis in the literature. Comparative results indicate the higher efficiency and effectiveness of the proposed approach with fuzzy perceptron for uncertain fault diagnosis problem.},
	url = {https://dl.acm.org/doi/abs/10.1007/s10489-017-1132-8},
	author = {Djelloul Imene and Sari Zaki and Latreche Khaled}
}
@proceedings {5026,
	title = {Proposition d\&rsquo;un syst{\`e}me distribu{\'e} de diagnostic et pronostic bas{\'e} sur les services web et ELM},
	journal = {JD{\textquoteright}2019 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Berghout Tarek}
}
@proceedings {5025,
	title = {Elaboration d\&rsquo;un Module de Diagnostic sous Contraintes dans le cadre d\&rsquo;une Strat{\'e}gie de Commande Tol{\'e}rante aux D{\'e}fauts},
	journal = {JD{\textquoteright}2018 2{\`e}me Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Hadjidji Nadjiha}
}
@proceedings {5024,
	title = {Syst{\`e}me intelligent d\&$\#$39;aide {\`a} la d{\'e}cision pour la pr{\'e}diction et l\&$\#$39;optimisation des param{\`e}tres d\&$\#$39;un forage p{\'e}trolier},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Rezki Djamil}
}
@proceedings {5023,
	title = {Vers un pronostic de d{\'e}faillances des syst{\`e}mes dynamiques complexes par les Bond Graphs},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Mebarki Nassima}
}
@proceedings {5022,
	title = {Une plate-forme e-maintenance par les syst{\`e}mes Immunitaire Artificiels},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Haboussi  Amar}
}
@proceedings {5021,
	title = {Une nouvelle approche pour la s{\'e}curit{\'e} des Syst{\`e}mes de Contr{\^o}le et d\&$\#$39;Acquisition de Donn{\'e}es SCADA},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Guettafi Salah}
}
@proceedings {5020,
	title = {Pronostic industriel distribu{\'e} des syst{\`e}mes complexes {\`a} base d\&rsquo;agents},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Benaggoune Khaled}
}
@proceedings {5019,
	title = {Pronostic industriel distribu{\'e} des syst{\`e}mes complexes {\`a} base d\&rsquo;agents},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Bellal Salah Eddine}
}
@proceedings {5018,
	title = {Conception d\&$\#$39;un syst{\`e}me d\&rsquo;aide {\`a} la maintenance collaborative bas{\'e}e sur la r{\'e}alit{\'e} mixte},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Hamidene Rabie}
}
@proceedings {5017,
	title = {Contribution {\`a} la mise en place d\&rsquo;une solution distribu{\'e}e intelligente pour le choix d\&rsquo;une technique d\&rsquo;ordonnancement ad{\'e}quate},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Abdessamed Ahmed Adnane}
}
@proceedings {5016,
	title = {Contribution {\`a} la mise en place d\&rsquo;une solution distribu{\'e}e intelligente pour le choix d\&rsquo;une technique d\&rsquo;ordonnancement ad{\'e}quate},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre Batna, Alg{\'e}rie},
	year = {2018},
	author = {Zaidi Ammar}
}
@proceedings {5015,
	title = {Impact du diagnostic sur l\&rsquo;{\'e}valuation des performances d\&rsquo;un syst{\`e}me dynamique tol{\'e}rant aux fautes},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Kebbas Med Salah}
}
@proceedings {5014,
	title = {Strat{\'e}gie de la Supervision Industrielle pour la Conduite d\&rsquo;un Syst{\`e}me de Production Complexe : Vers une architecture Centralis{\'e}e},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Benaicha Sonia}
}
@proceedings {5013,
	title = {Exploration du Potentiel de la Vision Artificielle pour la Reconnaissance d\&rsquo;Objets dans une image dans un Contexte Industriel},
	journal = {JD{\textquoteright}2018 1{\`e}re Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Rahmani Abdellah}
}
@proceedings {5012,
	title = {Mod{\'e}lisation et Optimisation des syst{\`e}mes renouvelables hybrides pour les sites autonomes},
	journal = {JD{\textquoteright}2018  Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Zereg Heda}
}
@proceedings {5011,
	title = {Proposition d\&rsquo;un syst{\`e}me distribu{\'e} de diagnostic et pronostic bas{\'e} sur les services web et ELM},
	journal = {JD{\textquoteright}2018 2{\`e}me Journ{\'e}es des doctorants 14 Octobre  Batna, Alg{\'e}rie},
	year = {2018},
	author = {Berghout Tarek}
}
@proceedings {4981,
	title = {Performance of Deep Convolutional Neural Networks for the Photovoltaic Generator Monitoring},
	journal = {CNPER1-18  National Conference on Environmental Protection and Renewable Energy, UB2, Batna, Alg{\'e}ria},
	year = {2018},
	author = {Louchene Houssem Eddine}
}
@proceedings {4980,
	title = {Extreme learning machines for faults classification and regression of photovoltaic systems},
	journal = {CNPER1-18  National Conference on Environmental Protection and Renewable Energy, UB2, Batna, Alg{\'e}ria},
	year = {2018},
	author = {Megaache Zineb}
}
@proceedings {4979,
	title = {Vers un syst{\`e}me de R{\'e}alit{\'e} Augment{\'e}e Mobile pour une Maintenance Pr{\'e}ventive Moderne lors d\&$\#$39;une inspection},
	journal = {Ecole de printemps 2017 (IVAR School) au niveau de CERIST Alger },
	year = {2018},
	author = {Hamiden Rabie}
}
@conference {4964,
	title = {Numerical simulation of a high responsivity ultraviolet photodetector},
	booktitle = {ICPR International Conference on Photonics Research (Interphotonics-2018},
	year = {2018},
	abstract = {Ultraviolet photodetectors (UV PDs) are important devices that can be used in various scientific, commercial and military applications. In this work, a numerical simulation study of nitride-based "p+-n-n+" front illuminated UV PD, designed with an aluminum composition achieving a true solar blindness, has been reported using the commercially available Atlas package from Silvaco international. It has been found that the proposed structure is sensitive to the UV rays in the wavelength range investigated, where the spectral response reaches its maximum then declines sharply with a good performance of solar-blind at room temperature and zero-bias voltage. Furthermore, it was also found by simulating the evolution of the current density according to different wavelengths of the incident radiation that the designed structure is able to act as a wavelength selector device.},
	url = {https://www.researchgate.net/publication/333106229_Numerical_simulation_of_a_high_responsivity_ultraviolet_photodetector},
	author = {Bouzid Faycal}
}
@conference {4962,
	title = {Decision support system for piloting an oil drilling process: ROP prediction},
	booktitle = { ICATS{\textquoteright}17 - International Conference on Automatic control, Telecommunications and Signals},
	year = {2018},
	url = {https://www.researchgate.net/publication/330225942_Decision_support_system_for_piloting_an_oil_drilling_process_ROP_prediction},
	author = {Rezki Djamil}
}
@conference {4961,
	title = {Rate of penetration (ROP) prediction in oil drilling based on ensemble machine learning},
	booktitle = {ICTO 2018 / MENCIS2018 - Information and Communication Technologies in Organizations and Society / Middle East \& North Africa Conference for Information Systems},
	volume = {volume 35},
	year = {2018},
	pages = { 537-549},
	abstract = {This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important role in oil drilling, which has a great impact on drilling costs, and its prediction allows drilling engineers to choose the best combination of input parameters for better progress in drilling operations. To resolve this problem, several works have been realized with the different modeling techniques as machine learning: RNAs, Bayesian networks, SVM etc. The random forest algorithm chosen for our model is better than the other MLS techniques. in speed or precision, following what we found in the literature and tests done with the open source machine learning tool on historical oil drilling logs from fields of Hassi Terfa located in southern Algeria.},
	url = {https://www.researchgate.net/publication/330225940_Rate_of_penetration_ROP_prediction_in_oil_drilling_based_on_ensemble_machine_learning},
	author = {Rezki Djamil}
}
@inbook {4960,
	title = {Rate of penetration (ROP) prediction in oil drilling based on ensemble machine learning},
	booktitle = {ICT for an Inclusive World },
	volume = {volume 35},
	year = {2018},
	pages = { 537-549},
	publisher = {Springer, Cham},
	organization = {Springer, Cham},
	abstract = {This work presents the prediction of the rate of progression in oil drilling based on random forest algorithm, which is part of the family of ensemble machine learning. The ROP parameter plays a very important role in oil drilling, which has a great impact on drilling costs, and its prediction allows drilling engineers to choose the best combination of input parameters for better progress in drilling operations. To resolve this problem, several works have been realized with the different modeling techniques as machine learning: RNAs, Bayesian networks, SVM etc. The random forest algorithm chosen for our model is better than the other MLS techniques. in speed or precision, following what we found in the literature and tests done with the open source machine learning tool on historical oil drilling logs from fields of Hassi Terfa located in southern Algeria.},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-030-34269-2_37},
	author = {Rezki Djamil}
}
@proceedings {4959,
	title = {A strategic method for steering a photovoltaic generator ISSN / ISBN  2308-4375 / 978-1-61208-620-0},
	journal = {eKNOW 2018 : The Tenth International Conference on Information, Process, and Knowledge Management 25-29 March Rome, Italy},
	year = {2018},
	pages = {50-55},
	abstract = {T There are several forms of electricity generation, first, by burning fuels, such as coal, natural gas or oil, which have an effect on the atmosphere, especially increasing greenhouse gases, or, second, from renewable sources, such as wind, hydro and solar, which are clean and renewable sources of energy. Our work focuses on solar sources, especially photovoltaics; we have treated the steering part of photovoltaic generators using artificial intelligence methods, specifically, case-based reasoning. The system we have built generates actions to be applied to the generator based on its current state and reasoning from previous cases recorded in the case base.},
	url = {https://www.thinkmind.org/index.php?view=article\&articleid=eknow_2018_3_40_68010},
	author = {Bouhafna Khyreddine}
}
@proceedings {4958,
	title = {Fuzzy Logic Control System in Medical Field},
	journal = {Proceedings of the International Conference on Industrial Engineering and Operations Management, 26-27 July Paris, France},
	year = {2018},
	abstract = {Since the work of Lotfi Zadeh in 1965, the fuzzy logic continues to interest researchers and industrialists who gather around the "theories of uncertainty". The ramifications of fuzzy logic extend to fields as varied as control, the diagnosis of complex systems, bioinformatics, decision support. Research work is done in bio-informatic field where a system for decision support of anesthetic depth fuzzy basic. This study was carried out under general anesthesia with propofol. We use in our work some parameters influencing the patient{\textquoteright}s condition during the course of surgery to control their effects on the depth of general anesthesia by fuzzy logic. In this paper, we propose using the environment MatLab R2017a to realize this application. A comparison between the predictions of the anesthesiologist and anesthetic predictions according to fuzzy logic of our work is done. This study will serve as a guide in developing new anesthesia control systems for patients.},
	url = {http://www.ieomsociety.org/paris2018/papers/73.pdf},
	author = {Zermane Hanane}
}
@conference {4957,
	title = {Automation and Advanced System Control of an Industrial Production Process using Fuzzy Logic},
	booktitle = {CISTEM{\textquoteright}18 3th International Conference on Electrical Sciences and Technologies in Maghreb 28-31 October Algiers, Algeria},
	year = {2018},
	abstract = {Process controls (basic as well as advanced) are implemented within the process control system, which may mean a distributed control system (DCS), programmable logic controller (PLC), and/or a supervisory control computer. DCSs and PLCs are typically industrially hardened and fault-tolerant. Supervisory control computers are often not hardened or fault-tolerant, but they bring a higher level of computational capability to the control system, to host valuable, but not critical, advanced control applications. Advanced controls may reside in either the DCS or the supervisory computer, depending on the application. Basic controls reside in the DCS and its subsystems, including PLCs. Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this context, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic.},
	url = {https://www.researchgate.net/publication/330589559_Automation_and_Advanced_System_Control_of_an_Industrial_Production_Process_using_Fuzzy_Logic},
	author = {Zermane Hanane}
}
@conference {4952,
	title = {Agent-based prognostic function for multicomponents system with stochastic dependence },
	booktitle = { ICASS 2018International Conference on Applied Smart Systems Medea, Algeria},
	year = {2018},
	abstract = {Prognostic and Health Management of multi-components systems is a challenging task, where different types of dependencies may exist. To tackle the complexity of such system, many distributed approaches are proposed. They deal with structural and functional dependencies and suppose that components are independent, which is not the case in reality. The transition of one component to more degraded states may affect other dependent components. In this paper we address the problem of prognosing components under stochastic dependence, we propose a prognostic based agent function in which a set of agents interact and coordinate to estimate the component remaining useful life with degradation interactions in a distributed manner. The simulation of an example taken from the literature is done on jade framework, the results indicate that the precision of the component RUL is enhanced.},
	url = {https://www.researchgate.net/publication/331453980_Agent-based_prognostic_function_for_multi-components_system_with_stochastic_dependence},
	author = {Benaggoune Khaled}
}
@proceedings {4951,
	title = {Implementation of a preventive maintenance system, based on augmented reality},
	journal = {PAIS{\textquoteright}2018 3rd  International Conference on Pattern Analysis and Intelligent Systems 7-28 Octobre, Universite de Tebessa},
	year = {2018},
	pages = {1-6 },
	abstract = {In this article, we present ARPM (Augmented Reality-based Preventive Maintenance) system, which aims at offering to the technician of a Cement Factory a virtual assistance in real time using various forms of 3D models, images or even texts, in order to help him to maintain and inspect his equipment. This system not only offers the possibility of reducing costs of the preventive maintenance, but also allows monitoring and even anticipating failures. In order to ensure a reliable maintenance operation, we adapted our system to be compatible with the CMMS system (Computerized Maintenance Management System) already exists in the Cement factory},
	url = {https://hal.archives-ouvertes.fr/hal-01970974/document},
	author = {Hamidane  Rabie}
}
@proceedings {4950,
	title = {Moving From unknown to known feature spaces based on TS-ELM with random kernels and connections},
	journal = { IntelliSys2018.  International Conference on Intelligent Systems, London, United Kingdom},
	year = {2018},
	abstract = {In this paper, we propose an algorithm for classification based on extreme learning machine, named TS-ELM (Two feature Spaces Extreme learning Machine). It is a hybridization of two distinct feature mapping of SLFNs (Single hidden layer feedforward neural network). Both are realized based on ELM theories. The first feature space resulted from a random kernel distributions of a randomly connected input samples, that inspired initially from conventional random connected neural network and it is also included in ELM theories. The second feature space that gives the training or testing samples is the result of a random probability distribution of fully connected samples taken from the first feature space, and adjusted with their own weight and threshold parameters. This algorithm was applied on three datasets of multiclass and binary classification, and the results shows that it has strong classification capabilities and universal approximation as well. The mechanisms of the algorithm and universal approximation are discussed in this paper.},
	url = {https://www.researchgate.net/publication/330901639_Moving_From_unknown_to_known_feature_spaces_based_on_TS-ELM_with_random_kernels_and_connections},
	author = {Mouss Leila Hayet}
}
@proceedings {4949,
	title = {Bi-directional Recurrent End-to-End Neural Network Classifier for Spoken Arab Digit Recognition},
	journal = {ICNLSP 2018, The 3rd International Conference on Natural Language and Speech Processing, Algiers},
	year = {2018},
	abstract = {Automatic Speech Recognition can be considered as a transcription of spoken utterances into text which can be used to monitor/command a specific system. In this paper, we propose a general end-to-end approach to sequence learning that uses Long Short-Term Memory (LSTM) to deal with the non-uniform sequence length of the speech utterances. The neural architecture can recognize the Arabic spoken digit spelling of an isolated Arabic word using a classification methodology, with the aim to enable natural human-machine interaction. The proposed system consists to, first, extract the relevant features from the input speech signal using Mel Frequency Cepstral Coefficients (MFCC) and then these features are processed by a deep neural network able to deal with the non uniformity of the sequences length. A recurrent LSTM or GRU architecture is used to encode sequences of MFCC features as a fixed size vector that will feed a multilayer perceptron network to perform the classification. The whole neural network classifier is trained in an end-to-end manner. The proposed system outperforms by a large gap the previous published results on the same database.},
	url = {https://hal.inria.fr/hal-01835440/document},
	author = {Zerari Naima}
}
@conference {4948,
	title = {Using a data mining CRISP-DM methodology for rate of penetration (ROP) prediction in oil well drilling},
	booktitle = {Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France},
	year = {2018},
	abstract = {This work describes an implementation of a oil drilling data mining project approach based on the CRISP-DM methodology. Recent real-world data were collected from a from historical data of an actual oil drilling process in Hassi Terfa field, situated in South of Algeria. During the modelling process. The goal was to predict the rate of penetration (ROP) based on input parameters that are commonly used at the oil drilling process (weight on bit, rotation per minute, mud density , spp, ucs) . At the data preparation stage, the data were cleaned and variables were selected and transformed. Next, at the modeling stage, a regression approach was adopted, where three learning methods were compared : Artificial Neural Network, Support Vector Machine and Random Forest. The best learning model was obtained by the Random Forest method, which presents a high quality coefficient of correlation. The results of the experiment show that the proposed approach is able to effectively use the engineering data to provide effective prediction ROP, the ROP prediction allows the drilling engineer to select the best combination of the input parameters to have a better advancement},
	url = {https://hal-amu.archives-ouvertes.fr/hal-02482291/document},
	author = {Rezki Djamil}
}
@proceedings {4947,
	title = {Relative bibliometrics of intellectual capital and knowledge management in SCOPUS},
	journal = {Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France},
	year = {2018},
	abstract = {The purpose of this work is a bibliometric analysis of the evolution of knowledge management (KM) and intellectual capital (IC) as scientific fields in time.  The used data was all articles having {\textquotedblleft}intellectual capital{\textquotedblright} or {\textquotedblleft}knowledge management{\textquotedblright} in their title from SCOPUS database exported in Excel and R language is used to compute the indexes. The analysis is using the indexes (H index, N index, G index, I index, lotka{\textquoteright}s law), which are most related to references and citations of the articles. We find that KM and IC fields are heterogeneous in cases and homogeneous in other cases vis {\`a} vis the applied indexes.  This analysis is usefull to researchers in the two areas to find the pionners and the most productive authors to potentially collaborate with them and,  the most read articles to use them in literature review. In databases of researches, only H index is offered but to all articles of area defined by the database and not for a set of requested articles. This paper is filling this gap,  as the first study of KM and IC using relative bibliometric indexes.},
	url = {http://www.ieomsociety.org/paris2018/papers/450.pdf},
	author = {Aitouche Samia}
}
@proceedings {4946,
	title = {Supervision of an Industrial Process of Milk Production using Fuzzy Logic},
	journal = {Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France},
	year = {2018},
	abstract = {Proceedings of the International Conference on Industrial Engineering and Operations Management Paris, France, July 26-27, 2018 Supervision of an Industrial Process of Milk Production using Fuzzy Logic Hanane Zermane, Samira Brahmi, Naima Zerari, Rachad Kasmi Laboratory of Automation and Manufacturing, Industrial Engineering Department University Batna 2, Batna, Algeria hananezermane@yahoo.fr, brahmi.samira@gmail.com, n.zerari@yahoo.fr, kasmiradwan08@gmail.comAbstract Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this work, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic},
	url = {http://www.ieomsociety.org/paris2018/papers/321.pdf},
	author = {Zermane Hanane}
}
@proceedings {4945,
	title = {Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge, ISSN / ISBN 2308-4375 /  978-1-61208-620-0},
	journal = { eKNOW 2018  International Conference on Information, Process, and Knowledge Management,Rome, Italie},
	year = {2018},
	pages = {44-49},
	abstract = {The automation of production systems has been ananswer to the changing and competitive industrial context andworks by extracting data and experiences of experts. Thisautomation is a double-edged sword; on one hand, it increasesthe productivity of the technical system (cost reduction,reliability, availability, quality), but, on the other hand, itincreases the complexity of the system. This has led to the needof efficient technologies, such as Supervisory Control and DataAcquisition (SCADA) systems and techniques that couldabsorb this complexity such as artificial intelligence and fuzzylogic. In this context, we develop an application that controlsthe pretreatment and pasteurization station of milk localized inBatna (Algeria) by adopting a control approach based onexpert knowledge and fuzzy logic.},
	url = {http://www.ns2.thinkmind.org/index.php?view=article\&articleid=eknow_2018_3_30_6800},
	author = {Hanane Zermane}
}
@article {4908,
	title = {Fuzzy control of an industrial process system using internet and web services, ISSN / e-ISSN \&lrm;1748-5037 / 1748-5045},
	journal = {International Journal of Industrial and Systems Engineering},
	volume = {Vol 29 },
	number = {3},
	year = {2018},
	pages = {pp. 389-404},
	abstract = {This paper illustrates an internet-based fuzzy control system of complex industrial manufacturing, which is cement production. It ensures remote and fuzzy control of the process in real time in cement factories in Algeria. The remote control system contains several tasks, such as alarms diagnostic, e-maintenance and synchronising regulation loops, to guarantee the automated performance. To evolve the system, we propose firstly, fuzzy logic to control the cement mill workshop and ensure that the system is operational with minimal downtime. Secondly, we integrate internet technology to remote control via internet to secure human life and render it unnecessary for operators to be at site. When there is a breakdown, it is not necessary to send an expert to diagnose and solve problems. Therefore, the system reduces travel costs by sending reports and transmitting process data. Operators can execute and monitor the system according to authentication access in main control room or via internet.},
	url = {https://www.inderscience.com/info/inarticle.php?artid=93054},
	author = {Zermane Hanane and Mouss Leila Hayet}
}
@article {4907,
	title = {A Temporal Neuro-Fuzzy System for Estimating Remaining Usefull Life in Preheater Cement Cyclones,  ISSN / e-ISSN 0218-5393 / 1793-6446},
	journal = {International Journal of Reliability Quality and Safety Engineering},
	volume = {26},
	number = {3},
	year = {2018},
	abstract = {Fault prognosis in industrial plants is a complex problem, and time is an important factor for the resolution of this problem. The main indicator for the task of fault prognosis is the estimate of remaining useful life (RUL), which essentially depends on the predicted time to failure. This paper introduces a temporal neuro-fuzzy system (TNFS) for performing the fault prognosis task and exactly estimating the RUL of preheater cyclones in a cement plant. The main component of the TNFS is a set of temporal fuzzy rules that have been chosen for their ability to explain the behavior of the entire system, the components{\textquoteright} degradation, and the RUL estimation. The benefit of introducing time in the structure of fuzzy rules is that a local memory of the TNFS is created to capture the dynamics of the prognostic task. More precisely, the paper emphasizes improving the performance of TNFSs for prediction. The RUL estimation process is broken down into four generic processes: building a predictive model, selecting the most critical parameters, training the TNFS, and predicting RUL through the generated temporal fuzzy rules. Finally, the performance of the proposed TNFS is evaluated using a real preheater cement cyclone dataset. The results show that our TNFS produces better results than classical neuro-fuzzy systems and neural networks.},
	url = {https://doi.org/10.1142/S0218539319500128},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Haboussi  Amar and Chouhal Ouahiba and Haouassi Hichem}
}
