@conference {7287,
	title = {Integrated production and maintenance planning in hybrid manufacturing-remanufacturing system with outsourcing opportunities},
	booktitle = {4th International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science },
	year = {2022},
	publisher = {ScienceDirect},
	organization = {ScienceDirect},
	author = {Merghem, Mohammed and Haoues, Mohammed and Mouss, Kinza-Nadia and Dahane, Mohammed and Senoussi, Ahmed}
}
@conference {7286,
	title = {Production planning optimisation in a sustainable hybrid manufacturing remanufacturing production system},
	booktitle = {3rd International Conference on Industry 4.0 and Smart Manufacturing Procedia Computer Science 200},
	year = {2022},
	publisher = {ScienceDirect},
	organization = {ScienceDirect},
	author = {Lahmar, Houria and Dahane, Mohammed and Mouss, Nadia-Kinza and Haoues, Mohammed}
}
@conference {7269,
	title = {Hybrid Heuristic Optimization of an Integrated Production Distribution System with Stock and Transportation Costs},
	booktitle = {International Conference on Computing Systems and Applications},
	year = {2021},
	publisher = { Lecture Notes in Networks and Systems book series },
	organization = { Lecture Notes in Networks and Systems book series },
	abstract = {
	In this paper we address the integration of two-level supply chain with multiple items, production facility and retailers{\textquoteright} demand over a considered discrete time horizon. This two-level production distribution system features capacitated production facility supplying several retailers located in the same region. If production does take place, this process incurs a fixed setup cost as well as unit production costs. In addition, deliveries are made from the plant to the retailers by a limited number of capacitated vehicles and routing costs are incurred. This work aims at implementing a solution to minimize the sum of the costs at the production facility and the retailers. The methodology adopted to tackle this issue is based on a hybrid heuristic, greedy and genetic algorithms that uses strong formulation to provide a good solution of a guaranteed quality that are as good or better than those provided by the MIP optimizer with a considerably larger run time. The results demonstrate that the proposed heuristics are effective and performs impressively in terms of computational efficiency and solution quality.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-69418-0_11},
	author = {Bensakhria, Mohamed and Samir Abdelhamid}
}
@conference {7253,
	title = {Towards Digital Twins Driven Breast Cancer Detection},
	year = {2021},
	publisher = {Lecture Notes in Networks and Systems },
	organization = {Lecture Notes in Networks and Systems },
	abstract = {
	Digital twins have transformed the industrial world by changing the development phase of a product or the use of equipment. With the digital twin, the object{\textquoteright}s evolution data allows us to anticipate and optimize its performance. Healthcare is in the midst of a digital transition towards personalized, predictive, preventive, and participatory medicine. The digital twin is one of the key tools of this change. In this work, DT is proposed for the diagnosis of breast cancer based on breast skin temperature. Research has focused on thermography as a non-invasive scanning solution for breast cancer diagnosis. However, body temperature is influenced by many factors, such as breast anatomy, physiological functions, blood pressure, etc. The proposed DT updates the bio-heat model{\textquoteright}s temperature using the data collected by temperature sensors and complementary data from smart devices. Consequently, the proposed DT is personalized using the collected data to reflect the person{\textquoteright}s behavior with whom it is connected.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-80129-8_7},
	author = {Meraghni, Safa and Benaggoune, Khaled and Al Masry, Zeina and Terrissa, Sadek-Labib and Devalland, Christine and Zerhouni, Noureddine}
}
@conference {7245,
	title = {Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrification in Algeria},
	booktitle = {International Conference on Artificial Intelligence in Renewable Energetic Systems(IC-AIRES{\textquoteright}21 )},
	volume = {361},
	year = {2021},
	pages = {21{\textendash}33},
	publisher = { Lecture Notes in Networks and Systems},
	organization = { Lecture Notes in Networks and Systems},
	address = {Tipasa, Algeria  },
	abstract = {
	This paper proposes an optimum design of a diesel/PV/wind/battery hybrid renewable energy system (HRES) for rural electrification in a remote district in Tamanrasset, Algeria. In this study, a particle swarm optimization algorithm (PSO) has been proposed to solve a multi-objective optimization problem, which was created by carrying out simultaneously, the cost of energy (COE) minimization while maximizing the reliability of power supply described as the loss of power supply probability (LPSP) and a renewable fraction (RF). The simulation results show that the PV/WT/DG/BT is the best economic configuration with a reasonable annual cost of the optimal system (ACS) which is about 7798.71\&nbsp;$ and the COE equal to 0.79\&nbsp;$/kWh for an LPSP\&nbsp;=\&nbsp;0.01\%, where the ten households are 0.99 \% satisfied by renewable energy sources.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-92038-8_3},
	author = {Zereg, Hadda and Bouzgou, Hassen}
}
@conference {7243,
	title = {A Comparative Study Between Data-Based Approaches Under Earlier Failure Detection},
	booktitle = {ICCIS2020 },
	volume = {204},
	year = {2021},
	pages = {235{\textendash}239},
	publisher = {Lecture Notes in Networks and Systems},
	organization = {Lecture Notes in Networks and Systems},
	address = {India},
	abstract = {
	A comparative study between a set of chosen machine learning tools for direct remaining useful life prediction is presented in this work. The main objective of this study is to select the appropriate prediction tool for health estimation of aircraft engines for future uses. The training algorithms are evaluated using {\textquotedblleft}time-varying{\textquotedblright} data retrieved from Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) developed by NASA. The training and testing processes of each algorithm are carried out under the same circumstances using the similar initial condition and evaluation sets. The results prove that among the studied training tools, Support vector machine (SVM) achieved the best results.

},
	url = {https://link.springer.com/chapter/10.1007/978-981-16-1089-9_20},
	author = {Hadjidj, Nadjiha and Meriem Benbrahim and Berghout, Tarek and Leila-Hayet Mouss}
}
@conference {7274,
	title = {Efficient Approach for Parallel Machine Scheduling Problem},
	booktitle = {International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA 2018)},
	year = {2020},
	address = {Tangier, Morocco},
	abstract = {
	In this paper, we consider a parallel machine scheduling problem with non-renewable resources. Each job consumes several components and must be processed in one stage composed of identical parallel machines. Resources availability operations, jobs assignment and sequencing are considered and optimized simultaneously. In order to find an optimal solution, an exact method is applied to optimize the total completion time. Due to the problem complexity and prohibitive computational time to obtain an exact solution, a metaheuristic approach based genetic algorithm is proposed and several heuristics are adapted to solve it. Moreover, the impact of non-renewable resources procurement methods on production scheduling is analyzed. The system performances are evaluated in terms of measures such as the solution quality and the execution time. The simulation results show that the proposed genetic algorithm gives the same results as the exact method for small instances and performs the best compared to heuristics for medium and large instances.

},
	url = {https://ieeexplore.ieee.org/document/8428302},
	author = {Belkaid, Fay{\c c}al and Hadri, Abdelkader and BENNEKROUF, Mohammed}
}
@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}
}
@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}
}
@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}
}
@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}
}
@conference {4970,
	title = {Diagnostic par reconnaissance de forme Immunitaire du Processus De fabrication de Ciment},
	booktitle = {Colloque International sur les Materiaux et leurs Applications, CIMA{\textquoteright}2017, At Khenchela,algeria},
	year = {2017},
	abstract = {Dans ce travail nous nous proposons de concevoir un syst{\`e}me de diagnostic par reconnaissance de formes immunitaires. La reconnaissance de formes est un vaste champ de recherche, indispensable {\`a} tout syst{\`e}me intelligent d{\textquoteright}aide {\`a} la d{\'e}cision. En nous inspirant des syst{\`e}mes immunitaires nous avons essay{\'e} de capturer plusieurs propri{\'e}t{\'e}s utiles {\`a} la reconnaissance, comme la m{\'e}morisation et l{\textquoteright}adaptation. L{\textquoteright}algorithme d{\'e}velopp{\'e} est inspir{\'e} de l{\textquoteright}algorithme d{\textquoteright}apprentissage bio {\guillemotleft}CLONCLAS {\guillemotright}. Cet algorithme utilise une nouvelle formule pour le calcul d{\textquoteright}affinit{\'e} qui est plus proche du mod{\`e}le r{\'e}el. Un logiciel informatique de simulation interactive baptis{\'e} DAIS (Diagnosis Artificiel Immun System) est d{\'e}velopp{\'e} sous MATLAB au sein du LAP (Batna), destin{\'e} {\`a} l{\textquoteright}apprentissage et au test d{\textquoteright}un syst{\`e}me de diagnostic immunitaire de pannes d{\textquoteright}un proc{\'e}d{\'e} industriel complexe. DAIS utilise les th{\'e}ories immunitaires pour le diagnostic industriel, plus pr{\'e}cis{\'e}ment la s{\'e}lection clonale.},
	url = {https://www.researchgate.net/publication/333105978_Diagnostic_Par_Reconnaissance_De_Forme_Immunitaire_Du_Processus_De_Fabrication_De_Ciment},
	author = {Haboussi Ammar}
}
@conference {4943,
	title = {Intra-hour Forecasting of Direct Normal Solar Irradiance Using Variable Selection with Artificial Neural Networks},
	booktitle = {International Conference in Artificial Intelligence in Renewable Energetic Systems  At Tipasa },
	year = {2017},
	pages = {281-290},
	abstract = {Renewable Energy Sources (RES) are one of the key solutions to handle the world{\textquoteright}s future energy needs, while decreasing carbon emissions. To produce electricity, large concentrating solar power plants depend on Direct Normal Irradiance (DNI), which is rapidly variable under broken clouds conditions. To work at optimum capacity while maintaining stable grid conditions, such plants require accurate DNI forecasts for various time horizons. The main goal of this study is the forecasting of DNI over two short-term horizons: 15-min and 1-hour. The proposed system is purely based on historical local data and Artificial Neural Networks (ANN). For this aim, 1-min solar irradiance measurements have been obtained from two sites in different climates. According to the forecast results, the coefficient of determination (R 2) ranges between 0.500 and 0.851, the Mean Absolute Percentage Error (MAPE) between 0.500 and 0.851, the Normalized Mean Squared Error (NMSE) between 0.500 and 0.851, and the Root Mean Square Error (RMSE) between 0.065 kWh/m 2 and 0.105 kWh/m 2. The proposed forecasting models show a reasonably good forecasting capability , which is decisive for a good management of solar energy systems.},
	url = {https://www.researchgate.net/publication/320628730_Intra-hour_Forecasting_of_Direct_Normal_Solar_Irradiance_using_Variable_Selection_with_Artificial_Neural_Networks},
	author = {Atmani Hanane}
}
@conference {4941,
	title = {Ensemble of Support Vector Methods to Estimate Global Solar Radiation in Algeria},
	booktitle = {International Conference in Artificial Intelligence in Renewable Energetic Systems,  At Tipasa, Algeria},
	volume = {volume 35},
	year = {2017},
	pages = {155-163},
	abstract = {In this paper, we propose a set of times series forecasting techniques based on the combination of Support Vector Regression methods to predict global horizontal solar radiation in Algeria. The models were constructed and tested using different architectures of Support Vector Machine (SVM), namely, (RBF kernel, Polinomial kernel and Linear kernel). We use individual time series models and linear combination techniques to predict global solar radiation indifferent sites in Algeria. For this aim, the recorded data of 4 stations spread over Algeria were used to build different combination schemes for the different times series algorithms. The efficiency of the different models was calculated using a number of statistical indicators: the Mean Absolute Percentage Error (MAPE), the Mean Squared Error (RMSE), Mean Bias Error (MABE) and the Coefficient of Determination (R 2). The results obtained from these models were compared with the measured data.},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-73192-6_16},
	author = {Zemouri Nahed}
}
@conference {4939,
	title = {Gaussian process with linear discriminant analysis for predicting hourly global horizontal irradiance in Tamanrasset, Algeria},
	booktitle = { 5th International Conference on Electrical Engineering (ICEE), At Boumerdes, Algeria},
	year = {2017},
	pages = {pp. 1-5},
	abstract = {In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian Process (GP) model combined with Linear Discriminate Analysis (LDA) as dimensionality reduction method is proposed. To evaluate the proposed approach, its performance is assessed using three scenarios: long window (latest 50 variables), short window (latest 5 variables) and persistence. To evaluate the performance of the proposed forecast model, the results of the different scenarios are compared to that of Extreme Learning Machines (ELM). Based on measured irradiance data from Tamanrasset, Algeria, the present results describe the performance of the combination of LDA with GP for forecasting hourly global solar irradiance.},
	url = {https://www.researchgate.net/publication/319990133_Gaussian_Process_with_Linear_Discriminant_Analysis_for_Predicting_Hourly_Global_Horizontal_Irradiance_in_Tamanrasset_Algeria},
	author = {Zemouri Nahed}
}
@conference {4938,
	title = {An Improved Approach Based on MAS Architecture and Heuristic Algorithm for Systematic Maintenance, ISBN: 978-1-5090-6774-9},
	booktitle = {ICIEA 2017. 19th International Conference on Industrial Engineering and Automation, Paris, France 18-19- May },
	year = {2017},
	abstract = {This paper proposes an improved approach based on MAS Architecture and Heuristic Algorithm for systematic maintenance to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time, methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi-agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. To solve such a complex problem, we proposed an approach which we have used advanced operators such as uniform crossover set and single point mutation. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.},
	url = {https://www.researchgate.net/publication/316980675_An_Improved_Approach_Based_on_MAS_Architecture_and_Heuristic_Algorithm_for_Systematic_Maintenance},
	author = {Abdelhadi Adel}
}
@conference {4937,
	title = {Fuzzy-Based Process Control System of a Bag filter in Cement Manufacturing Plant},
	booktitle = {   ICSC IEEE 6th International Conference on Systems and Control, Batna, Algeria},
	year = {2017},
	pages = {pp. 109-114},
	abstract = {uring the last years, in industrial process control, requirements for Continuous Emission Monitoring (CEM) have increased significantly. Most plants are investing in CEM systems in order to burn waste, obtain ISO 14000 and 18001 certification to protect operator{\textquoteright}s life. In this work, our approach describes development of a novel internet and fuzzy-based CEM system (IFCEMS). This system contains operator{\textquoteright}s stations for the bag filter{\textquoteright}s automation system and monitored using Internet. The object of the present installation consists of a suction ventilator, a bag filter and a system for collecting and evacuating the dust. To optimize the running of the bag filter workshop and ensure continuous control, the process based on one of the most powerful Artificial Intelligence techniques which is fuzzy logic involves the removal or filtration of smoke from the kiln and/or cement mill with control of temperature and pressure of the fumes.},
	url = {https://ieeexplore.ieee.org/document/7958740},
	author = {Zermane Hanane}
}
@conference {4936,
	title = { Supervision and Fuzzy Control of a Manufacturing Process using LabVIEW},
	booktitle = { IEEE 5th International Conference on Electrical Engineering {\textendash} Boumerdes, Algeria},
	year = {2017},
	pages = {pp. 1-6},
	abstract = {Presently, in industrial process plants, requirements for Continuous Emission Monitoring (CEM) have increased significantly. Most plants are investing in these systems in order to burn waste. In this work, we developed a Fuzzy Control of CEM (FCCEM). This system contains operator{\textquoteright}s stations to supervise the bag filter using Fuzzy Logic. This equipment consists of a suction ventilator, a bag filter and a system for collecting and evacuating the dust. To optimize the running of the bag filter workshop and ensure continuous control, the process based on fuzzy logic involves the removal or filtration of smoke from the kiln and/or raw mill with control of temperature and pressure of fumes.},
	url = {https://www.researchgate.net/publication/321821317_Supervision_and_fuzzy_control_of_a_manufacturing_process_using_LabVIEW},
	author = {Zermane Hanane}
}
@conference {4935,
	title = {Using several intelligences for complex industrial process monitoring: Detection and diagnosis},
	booktitle = {IOEM 2016 International Conference on Industrial Engineering and Operations Management At Kuala Lumpur, Malaysia },
	volume = {Volume 6},
	year = {2016},
	abstract = {
	The objective of the current paper is to present an intelligent system for complex process monitoring, based on 



	artificial intelligence technologies. This system aims to realise with success some complex process monitoring tasks that are:



	detection, diagnosis. For this purpose, the development of a multi-agent system that combines multiple intelligences such as:



	multivariate control charts, neural networks, has became a necessary. The proposed system is evaluated in the monitoring of the



	complex process Tennessee Eastman Process. 

},
	url = {https://www.researchgate.net/publication/299510304_Using_several_intelligences_for_complex_industrial_process_monitoring_detection_and_diagnosis},
	author = {Rezki Nafissa}
}
@conference {4932,
	title = {Fault Diagnosis of Manufacturing Systems Using AntTreeStoch with Parameter Optimization by ACO, ISSN / e-ISSN  2157-362X / 2157-3611},
	booktitle = { ICIEM 2016 : 18th International Conference on Industrial Engineering and Management, Barcelona, Spain},
	year = {2016},
	abstract = {In this paper, we propose diagnostic modules for complex and dynamic systems. These modules are based on three ant colony algorithms, which are AntTreeStoch, Lumer \&amp; Faieta and Binay ant colony. We chose these algorithms for their simplicity and their wide application range. However, we cannot use these algorithms in their basement forms as they have several limitations. To use these algorithms in a diagnostic system, we have proposed three variants. We have tested these algorithms on datasets issued from two industrial systems which are clinkering system and pasteurization system.},
	url = {https://www.researchgate.net/publication/285578275_Fault_Diagnosis_of_Manufacturing_Systems_Using_AntTreeStoch_with_Parameter_Optimization_by_ACO},
	author = {Kadri Ouahab}
}
@conference {4695,
	title = {Remote control and supervision of a manufacturing system Application in a cement factory, ISSN. 2335-1012},
	booktitle = {ICDSD 2014. International Conference on Distributed System and Decision, Oran, Algeria},
	year = {2014},
	author = {Zermane Hanane and Mouss Leila Hayet and Hamidane  Rabie}
}
@conference {4694,
	title = {A smart algorithm for the diagnosis of short-circuits faults in a photovoltaic generator},
	booktitle = {A smart algorithm for the diagnosis of short-circuits faults in a photovoltaic generator. In Proceedings of the 2014 IEEE ICGE  Sfax, Tunisia},
	year = {2014},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Nadia. Kinza and Mouss Med Djamel and Benbouzid Mohamed}
}
@conference {4693,
	title = {Faults Modeling of the Impedance and Reversed Polarity Types within the PV Generator Operation \&raquo;},
	booktitle = {Proceedings of the 2014 IEEE The third International Symposium on Environment Friendly Energies and Applications Paris, France},
	year = {2014},
	pages = {pp. 377-382},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Nadia. Kinza and Mouss Med Djamel and Y.Amirat and Benbouzid Mohamed}
}
@conference {4692,
	title = {New Algorithm for the IV Characteristic Modeling of the Photovoltaic Generator Malfunction within Impedance and Reversed Polarity Faults },
	booktitle = {in Proceedings of the 2014 IEEE EFEA The third International Symposium on Environment Friendly Energies and Applications Paris, France},
	year = {2014},
	pages = {pp. 506-512    },
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Nadia. Kinza and Mouss Med Djamel and Y.Amirat and Benbouzid Mohamed}
}
@conference {4691,
	title = {Modeling the PV Generator Behavior Submit to the Open-Circuit and the Short-Circuit Faults},
	booktitle = {In Proceedings of the 2014 IEEE EFEA. The third International Symposium on Environment Friendly Energies and Applications Paris, France},
	year = {2014},
	pages = {pp. 57-62},
	author = {Rezgui Wail and Mouss Nadia. Kinza and Mouss Leila Hayet and Mouss Med Djamel and Y.Amirat and Benbouzid Mohamed}
}
@conference {4690,
	title = {Development of a New Methodology for Modeling the PV Generator Behavior in the Presence of Open-Circuit and Short-Circuit Faults},
	booktitle = {In Proceedings of the 2014 IEEE EFEA. Third International Symposium on Environment Friendly Energies and Applications Paris, France},
	year = {2014},
	pages = {pp. 445-450},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Nadia. Kinza and Mouss Med Djamel and Y.Amirat and Benbouzid Mohamed}
}
@conference {4689,
	title = {A hybrid method to develop a knowledge management system},
	booktitle = {EKNOW 2014 International Conference on Information, Process, and Knowledge Management Barcelone, Espagne},
	year = {2014},
	pages = {pp 77-83},
	author = {Aitouche Samia and Mouss Med Djamel and Mouss Leila Hayet and Kaanit Abdelghafour and Boutarfa Youcef and Rezki Djamil}
}
@conference {4688,
	title = {Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic Generator},
	booktitle = {In Proceedings of the 2014 IEEE ICGE Sfax, Tunisia},
	year = {2014},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Med Djamel and Benbouzid Mohamed}
}
@conference {4667,
	title = {An implementation tool for the expertise model using CommonKADS methodology},
	booktitle = {In proceedings of EKNOW 2014 International Conference on Information, Process, and Knowledge Management, Barcelone, Espagne},
	year = {2014},
	pages = {pp 70-76},
	author = {Titah Mawloud and Mouss Med Djamel and Aitouche Samia}
}
@conference {4687,
	title = {Fuzzy Alpha-cuts to capture customer requirements in improving product development, ISBN:978-1-4799-1152-3},
	booktitle = {In the Proceedings the‎ 11th International Symposium on Programming and Systems, , ‎(ISPS IEEE) Algiers, Algeria},
	year = {2013},
	pages = {pp. 1-6},
	url = {‎ID10.1109/ISPS.2013.6581493},
	author = {Bencherif Fateh and Mouss Leila Hayet and Benaicha Sonia}
}
@conference {4686,
	title = {New Approach Based on ANFIS Computation to Study the Threshold Voltage Behavior Including Trap Effects for Nanoscale DG MOSFETs,  ISBN: 978-988-19252-8-2 ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)},
	booktitle = {In the Proceedings of the World Congress on Engineering WCE 2013 London, U.K},
	volume = {Vol II},
	year = {2013},
	author = {Bentrcia Toufik and Djeffal Fay{\c c}al and Meguellati Mohamed and Arar Djemai}
}
@conference {4685,
	title = { ANFIS-based computation to study the nanoscale circuit including the hot-carrier and quantum confinement effects  In the Proceedings of the 5th IEEE,  ISBN: 978-1-4673-5812-5},
	booktitle = {International ‎Conference on ‎Modelling, Simulation and Applied Optimization, (ICMSAO IEEE) Hammamet, Tunisia },
	year = {2013},
	pages = {pp. 1-5},
	url = {https://ieeexplore.ieee.org/document/6552680?tp=\&arnumber=6552680\&searchWithin\%3Dp_Authors:.QT.Meguellati,\%20M..QT.=},
	author = {Bentrcia Toufik and Djeffal Fay{\c c}al and Arar Djemai and Meguellati Mohamed}
}
@conference {4681,
	title = {Integrated Optimisation of In-House Production and Outsourcing Strategy: Genetic Algorithm Based Approach, in the 11th IFAC},
	booktitle = {Workshop on Intelligent Manufacturing Systems (IMS{\textquoteright}13) S{\~a}o Paulo, Brazil},
	year = {2013},
	author = {M. Haoues and M.Dahane and Mouss Nadia. Kinza and N.Rezg}
}
@conference {4680,
	title = {A Layered M-Maintenance Architecture Powered by Agent Technology, in Proceedings of IEEE},
	booktitle = {Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises WETICE Hammamat, Tunisia },
	year = {2013},
	pages = {pp. 1-7},
	url = {http://www.wikicfp.com/cfp/program?id=3053\&s=WETICE\&f=Workshops\%20on\%20Enabling\%20Technologies:\%20Infrastracture\%20for\%20Collaborative\%20Enterprises},
	author = {Abid Khadija and Rezki Nafissa and Mouss Leila Hayet and Kazar Okba}
}
@conference {4679,
	title = {Modeling of a photovoltaic field in malfunctioning, in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Rezgui Wail and Mouss Leila Hayet and Mouss Med Djamel}
}
@conference {4678,
	title = {Development of an Industrial Application with Neuro-Fuzzy Systems.in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Benaicha Sonia and Zermane Hanane and Mouss Leila Hayet and Bencherif Fateh}
}
@conference {4676,
	title = { Metaheuristic Approach for Solving the Vehicle routing problem: Application in Pharmaceutical Company. In Proceedings of IEEE Control, Decision and Information Technologies , in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Smaili Yamina and Senoussi Ahmed and Mouss Nadia. Kinza}
}
@conference {4675,
	title = {Design of multi-agent system for quality control and machine maintenance. , in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia},
	year = {2013},
	author = {Rezki Nafissa and Mouss Leila Hayet and Kazar Okba}
}
@conference {4674,
	title = {Automation and fuzzy control of a manufacturing system, in Proceedings of IEEE \&amp; CSS, ISBN: 978-1-4244-9796-6},
	booktitle = {The International Conference on Control, Decision and Information Technologies CoDIT Hammamet, Tunisia },
	year = {2013},
	author = {Zermane Hanane and Mouss Leila Hayet and Benaicha Sonia}
}
@conference {4666,
	title = {Strong formulations for a capacitated multi-vehicle Production-distribution Problem; In Proceedings of IEEE},
	booktitle = { Industrial Engineering and Systems Management (IESM), Rabat,  Morocco},
	year = {2013},
	pages = {pp 1-7    },
	url = {https://hal.inria.fr/index.php?halsid=u75aaocmrglodqt0keqms14qr7\&view_this_doc=hal-00879812\&version=1},
	author = {Senoussi Ahmed and Mouss Kinza and B.Penz and Brahimi Nadjia}
}
@conference {4664,
	title = {Investigation on the use of solar thermal energy in the agro food industry in Algeria, ISBN: 978-1-4673-6373-0},
	booktitle = {IRSEC{\textquoteright}13 International Renewable and Sustainable Energy Conference. The Mediterranean Space of Technology and Innovation with the partnership of the Moroccan Agency of Solar Energy (MASEN) and the Polydisciplinary Faculty},
	year = {2013},
	pages = { pp.167-170},
	author = {B.Boutaghriout and Bouakaz Amina and Hamouda Cha{\^a}bane and H.Smadi and A.Malek}
}
@conference {4673,
	title = {Development of a Fuzzy Expert system based on PCS7 and FuzzyControl++ Cement Mill control,  ISBN: 978-0-9853483-0-4},
	booktitle = {The International Conference on Informatics \& Applications ICIA University Sultan Zainal Abidin, Kuala Terengganu, Malaysia},
	year = {2012},
	pages = {pp 71-76},
	author = {Zermane Hanane and Mouss Leila Hayet and Benaicha Sonia}
}
@conference {4672,
	title = {NFPROG, un outil d\&rsquo;aide au pronostic industriel bas{\'e} sur les syst{\`e}mes Neuro-Flous d\&rsquo;un syst{\`e}me de production,  ISBN: 978-9938-9511-2-7},
	booktitle = {The International Conference on Information Systems \& Technologies ICIST, Sousse, Tunisia},
	year = {2012},
	pages = {pp. 724-729},
	author = {Benaicha Sonia and Mouss Leila Hayet and Zermane Hanane}
}
@conference {4671,
	title = {D{\'e}veloppement d\&rsquo;un Syst{\`e}me Expert flou bas{\'e} sur PCS 7 et FuzzyControl++ (Conduite d\&rsquo;un Broyeur Ciment)},
	booktitle = {International Conference on Information Systems and Technologies ICIST},
	year = {2012},
	author = {Zermane Hanane and Mouss Leila Hayet and Benaicha Sonia}
}
@conference {4670,
	title = {Integrated Maintenance Problem in Two-Stage Supply Chain Coordination With an Outsourcing Option},
	booktitle = {In Proceedings of the 42st International Conference on computers \& Industrial Engineering (Cie42), Cie \& Saiie, Cape Town, South Africa},
	year = {2012},
	pages = {pp. 937 {\textendash} 951},
	author = {Haoues Mohamed and M.Dahane and Mouss kinza Nadia and N.Rezg}
}
@conference {4669,
	title = {Optimization of Cooperative Outsourcing Between Single-Outsourcer Multiple-Subcontractors: a Genetic Algorithm Based Approach},
	booktitle = {INCOM{\textquoteright}12. 14th IFAC Symposium on Information Control Problems in Manufacturing, Bucharest Romania},
	year = {2012},
	pages = {pp-975 {\textendash} 980},
	url = {http://www.incom12.ro/},
	author = {M. Haoues and M.Dahane and Mouss kinza Nadia and N.Rezg}
}
@conference {4597,
	title = {Fault prognosis by temporal neuro-fuzzy systems: Application for manufacturing systems, in Proceedings of IEEE, print ISBN:978-1-4673-1657-6, 2013},
	booktitle = {Sciences of Electronics, Technologies of Information and Telecommunications (SETIT 2012, Sousse, Tunisia},
	year = {2012},
	pages = {pp. 50-55},
	author = {Mahdaoui Rafik and Mouss Leila Hayet and Kadri Ouahab and Mouss Med Djamel and Chouhal Ouahiba}
}
@conference {4594,
	title = {The Use of Artificial Immune System Algorithms in Monitoring Industrial, in Proceedings of IEEE Sciences of Electronics, print ISBN:978-1-4673-1657-6},
	booktitle = {Technologies of Information and Telecommunications (SETIT 2012), Sousse, Tunisia},
	year = {2012},
	pages = {pp. 50-55},
	author = {Abdelhadi Adel and Mouss Leila Hayet and Kadri Ouahab}
}
@conference {4596,
	title = {An efficient hybrid approach based on SVM and Binary ACO for featureSelection},
	booktitle = {ICMAS{\textquoteright}11 International Conference on Modeling and Applied.Edited by Agostino Bruzzone, Claudia Frydman,  Marina  Masset,  Mike Mcginnis , Miquel Angel, and Piera Gregory and Zacharewicz, Rome, Italy},
	year = {2011},
	pages = {pp 08-15},
	url = {http://www.liophant.org/i3m/i3m2011/MAS_Proceedings.pdf},
	author = {Mouss Leila Hayet and Kadri Ouahab and Merah Fouad and Abdelhadi Adel and Mouss Med Djamel}
}
