Results 21 to 30 of about 10,787,486 (301)
International Journal of Crowd Science, 2023 This paper presents the Smart Garment Ecosystem (SG-ECO) and enriches the garment customization production scheduling model theory. On the basis of SG-ECO, the author designs a regional collaborative production alliance (RCPA) based on the idea of ...
Zhishuo Liu, Simeng Lin, Han Li
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Production/maintenance cooperative scheduling using multi-agents and fuzzy logic [PDF]
, 2002 Within companies, production is directly concerned with the manufacturing schedule, but other services like sales, maintenance, purchasing or workforce management should also have an influence on this schedule.
Archimède, Bernard +2 more
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Reactive scheduling using a multi-agent model: the SCEP framework [PDF]
, 2001 Multi-agent systems have been successfully applied to the scheduling problem for some time. However, their use often leads to poorly unsatisfactory disappointing results. A new multi-agent model, called supervisor, customers, environment, producers (SCEP)
Archimède, Bernard, Coudert, Thierry
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Multiobjective scheduling for semiconductor manufacturing plants [PDF]
, 2010 Scheduling of semiconductor wafer manufacturing system is identified as a complex problem, involving multiple and conflicting objectives (minimization of facility average utilization, minimization of waiting time and storage, for instance) to ...
Azzaro-Pantel, Catherine +3 more
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Integrated production scheduling method to reduce fuel costs of hot rolling Processes
Nihon Kikai Gakkai ronbunshu, 2021 In order to minimize the fuel cost for heating steel ingots in hot rolling process, it is important to plan (1) batch formation to increase filling rate in furnaces and (2) work schedule to reduce stagnation of ingots in furnaces.
Takeru DOAN +5 more
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Intelligent shop scheduling for semiconductor manufacturing [PDF]
, 2003 Semiconductor market sales have expanded massively to more than 200 billion dollars annually accompanied by increased pressure on the manufacturers to provide higher quality products at lower cost to remain competitive.
Arisha, Amr
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Energies, 2023 Hydropower is the most prevalent source of renewable energy production worldwide. As the global demand for robust and ecologically sustainable energy production increases, developing and enhancing the current energy production processes is essential.
Yoan Villeneuve +2 more
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Distributed Scheduling Problems in Intelligent Manufacturing Systems
Tsinghua Science and Technology, 2021 Currently, manufacturing enterprises face increasingly fierce market competition due to the various demands of customers and the rapid development of economic globalization.
Yaping Fu +5 more
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Optimal Fair-Workload Scheduling: A Case Study at Glorytek
Mathematics, 2023 Taichung is the center of the Taiwanese precision optical industry. Optics companies are modernized and automated, with most running 24 h production lines.
Tzu-Chin Lin, Bertrand M. T. Lin
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Distributional Reinforcement Learning for Scheduling of Chemical Production Processes
CoRR, 2022 Reinforcement Learning (RL) has recently received significant attention from the process systems engineering and control communities. Recent works have investigated the application of RL to identify optimal scheduling decision in the presence of uncertainty. In this work, we present a RL methodology tailored to efficiently address production scheduling
Max Mowbray +2 more
openaire +2 more sources