Minimizing the makespan and carbon emissions in the green flexible job shop scheduling problem with learning effects [PDF]
Scientific Reports, 2023 One of the most difficult challenges for modern manufacturing is reducing carbon emissions. This paper focuses on the green scheduling problem in a flexible job shop system, taking into account energy consumption and worker learning effects.
Zhi Li, Yingjian Chen
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Sensibility study in a flexible job shop scheduling problem [PDF]
AIP Conference Proceedings, 2013 This paper proposes the impact assessment of the jobs order in the optimal time of operations in a Flexible Job Shop Scheduling Problem. In this work a real assembly cell was studied: the AIP-PRIMECA cell at the Université de Valenciennes et du Hainaut-
Barbosa, José +3 more
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A hybrid algorithm for flexible job-shop scheduling problem with setup times [PDF]
International Journal of Production Management and Engineering, 2017 Job-shop scheduling problem is one of the most important fields in manufacturing optimization where a set of n jobs must be processed on a set of m specified machines.
Ameni Azzouz +2 more
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Flexible job shop scheduling problem in manufacturing [PDF]
, 2013 This paper addresses a real assembly cell: the AIP-PRIMECA cell at the Université de Valenciennes et du Hainaut-Cambrésis, in France. This system can be viewed as a Flexible Job Shop, leading to the formulation of a Flexible Job Shop Scheduling Problem (
Barbosa, José +3 more
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Genetic algorithm for flexible job shop scheduling problem - A case study [PDF]
AIP Conference Proceedings, 2015 This paper proposes the impact assessment of the workers in the optimal time of operations in a Flexible Job Shop Scheduling Problem. In this work, a real enterprise was studied.
Barbosa, José +4 more
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A multi objective collaborative reinforcement learning algorithm for flexible job shop scheduling [PDF]
Scientific ReportsTo improve the scheduling efficiency of flexible job shops, this paper proposes a multi-objective collaborative intelligent agent reinforcement learning algorithm based on weight distribution.
Jian Li, Shifa Li, Pengbo He, Huankun Li
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Solving Flexible Job-Shop Scheduling Problems Based on Quantum Computing. [PDF]
Entropy (Basel)Flexible job-shop scheduling problems (FJSPs) represent one of the most complex combinatorial optimization challenges. Modern production systems and control processes demand rapid decision-making in scheduling. To address this challenge, we propose a quantum computing approach for solving FJSPs. We propose a quadratic unconstrained binary optimization (
Fu K, Liu J, Chen M, Zhang H.
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A novel method-based reinforcement learning with deep temporal difference network for flexible double shop scheduling problem [PDF]
Scientific ReportsThis paper studies the flexible double shop scheduling problem (FDSSP) that considers simultaneously job shop and assembly shop. It brings about the problem of scheduling association of the related tasks.
Xiao Wang +4 more
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Dynamic Intelligent Scheduling in Low-Carbon Heterogeneous Distributed Flexible Job Shops with Job Insertions and Transfers [PDF]
SensorsWith the rapid development of economic globalization and green manufacturing, traditional flexible job shop scheduling has evolved into the low-carbon heterogeneous distributed flexible job shop scheduling problem (LHDFJSP).
Yi Chen +3 more
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Research on Priority-based Flexible Job Shop Scheduling Algorithm [PDF]
E3S Web of Conferences, 2021 Research on the Flexible Job Shop Scheduling (FJSP) problem in the manufacturing process of aircraft engines has been carried out. It is found that there are real requirements such as order mandatory nodes and equipment selection in the current job ...
Liu Manxing, Xia Xiufeng
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