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298 results on '"Benyoucef, Lyes"'

2. Ensuring Fruits and Vegetables Freshness in Sustainable Agricultural Supply Chain Networks: A Deep Learning Approach

Author

Bahaddou, Youness, Tamym, Lahcen, Benyoucef, Lyes, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, M. Davison, Robert, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Thürer, Matthias, editor, Riedel, Ralph, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2024
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3. Fuzzy TOPSIS with Interval Data Based Possibility Measure Approach for Multi-criteria Group Decision Making: Application to Information System Selection

Author

Zegai, Ryma, Khettabi, Imen, Benyoucef, Lyes, Abbas, Moncef, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, M. Davison, Robert, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Thürer, Matthias, editor, Riedel, Ralph, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2024
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4. Categorization of Arabic Medical Questions Using a Deep Learning Approach

Author

Bahbib, Mohammed, Tamym, Lahcen, Yakhlef, Majid Ben, Benyoucef, Lyes, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Daimi, Kevin, editor, and Al Sadoon, Abeer, editor

Published
2024
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11. Multi-objective Sustainable Process Plan Generation for RMS: NSGA-III vs New NSGA-III

Author

Khettabi, Imen, Benyoucef, Lyes, Boutiche, Mohamed Amine, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Le Thi, Hoai An, editor, Pham Dinh, Tao, editor, and Le, Hoai Minh, editor

Published
2022
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19. Sustainable Process Plan Generation in RMS: A Comparative Study of Two Multi-objective Evolutionary Approaches

Author

Khettabi, Imen, Benyoucef, Lyes, Boutiche, Mohamed Amine, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Dolgui, Alexandre, editor, Bernard, Alain, editor, Lemoine, David, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2021
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20. Scalability and Convertibility Models and Approaches for Reconfigurable Manufacturing Environments

Author

Dahmani, Abdelhak, Benyoucef, Lyes, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Dolgui, Alexandre, editor, Bernard, Alain, editor, Lemoine, David, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2021
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21. Goods and Activities Tracking Through Supply Chain Network Using Machine Learning Models

Author

Tamym, Lahcen, Moh, Ahmed Nait Sidi, Benyoucef, Lyes, Ouadghiri, Moulay Driss El, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Dolgui, Alexandre, editor, Bernard, Alain, editor, Lemoine, David, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2021
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30. A new pricing mechanism for pharmaceutical supply chains: a game theory analytical approach for healthcare service.

Author

Mostofi, Amirhossein, Jain, Vipul, Mei, Yi, and Benyoucef, Lyes

Subjects
BUSINESS negotiation, MEDICAL care cost control, GAME theory, SUPPLY chains, PRICE regulation, MEDICAL care, DRUG prices
Abstract

Health care accounts for a substantial amount of government spending and is one of the most vulnerable sectors of theeconomy. Having a significant role to play in saving lives, health care services are very valuable to customers, and without appropriatecontrol, the price of such services can be very high. Due to this, the government oversees a significant portion of healthcare costs andenacts special pricing controls. In this paper, exclusive domestic production of licensed brand drugs is studied by forming acooperative strategy between a domestic manufacturer and a foreign licensor. This strategy increases the manufacturer's income; as aresult, the government also expects discounts from the cooperative firm. A Nash bargaining solution based on cooperative gametheory is proposed to model the related pricing negotiations between partners. A real-life pharmaceutical company case study isapplied to the proposed model. The cooperative strategy indicates that the market share of the licensor in the local market and thereturn on capital of the local licensee manufacturers positively affect the equilibrium price at a lower price than the new equilibriumprice, the foreign company will not benefit from the coalition significantly and will not have any incentive for it. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Sustainable multi-objective process planning in reconfigurable manufacturing environment: adapted new dynamic NSGA-II vs New NSGA-III.

Author

Khettabi, Imen, Benyoucef, Lyes, and Amine Boutiche, Mohamed

Subjects
PRODUCTION planning, GAS producing machines, MANUFACTURING processes, MARKET volatility, HAZARDOUS wastes
Abstract

The highly competitive and volatile market puts companies in a tough position. While cost and time efficiency are important to stay competitive, environmental awareness is more and more critical. The reconfigurable manufacturing system (RMS) paradigm is suggested to cope with these new challenges. In addition to its six fundamental characteristics, it is seen as an enabler for Industry 4.0. This article investigates the multi-objective process planning problem in an environmentally conscious manner in a reconfigurable manufacturing environment. Four criteria are minimised: total production cost, total production time, total amount of greenhouse gas produced by machines, and total quantity of hazardous liquid wastes. To address the problem, modified versions of the non-dominated sorting genetic algorithm (NSGA) method, namely new dynamic NSGA-II (NewD-NSGA-II) and New NSGA-III, are developed and evaluated. Rich experimental results are presented and analysed using three metrics to demonstrate the efficacy of the proposed approaches: inverted generational distance (IGD), diversity measure (DM), and cardinality of the mixed Pareto fronts (CMPF). The effects of the similarity coefficient on the convergence of the NewD-NSGA-II and New NSGA-III are investigated, and the TOPSIS technique is used to assist the decision-maker in evaluating and selecting the best process plans. [ABSTRACT FROM AUTHOR]

Published
2022
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49. Towards a sustainable reconfigurable manufacturing system (SRMS): multi-objective based approaches for process plan generation problem.

Author

Khezri, Amirhossein, Benderbal, Hichem Haddou, and Benyoucef, Lyes

Subjects
PRODUCTION planning, HAZARDOUS wastes, LIQUID waste, WASTE gases, LINEAR programming, SUSTAINABILITY
Abstract

Nowadays to meet the continuously growing worldwide demand for capital and consumer goods while considering the associated economic, environmental, and social aspects, new generation of manufacturing systems are developed and adopted. The goal is to respond to changing market needs while minimising adverse effects on the environment. Reconfigurable manufacturing system (RMS) – due to its flexibility and characteristics – can increase the system sustainability and responsiveness to satisfy the market needs. This paper considers an environmental oriented multi-objective process plan generation problem for a sustainable reconfigurable manufacturing system (SRMS). Three criteria are minimised respectively the sustainability-metric value, the total production time and the total production cost. As a new criterion, the sustainability-metric value considers both liquid hazardous waste and greenhouse gas emissions (GHG). First, a multi-objective integer linear programming (MOILP) model is proposed. Second, due to the problem complexity, three approaches are adapted respectively a posteriori approach called augmented ε-constraint (AUGECON) and two evolutionary approaches namely, non-dominated sorting genetic algorithm II (NSGA-II) and strength Pareto evolutionary algorithm II (SPEA-II). Finally, due to the lack of real world data and to illustrate the applicability of the three approaches, a simple numerical example is presented and the obtained numerical results are analysed. [ABSTRACT FROM AUTHOR]

Published
2021
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