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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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Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem [PDF]
IEEE Access, 2020 Machine recovery is met from time to time in real-life production. Rescheduling is often a necessary procedure to cope with it. Its instability gauges the number of changes to the existing scheduling solutions.
Kaizhou Gao +4 more
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A benchmark dataset for multi-objective flexible job shop cell scheduling [PDF]
Data in BriefThis data article presents a description of a benchmark dataset for the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment. This problem considers intercellular moves, exceptional parts, sequence-dependent family
Derya Deliktaş +3 more
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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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Machines, 2021 The flexible job shop scheduling problem has always been the focus of research in the manufacturing field. However, most of the previous studies focused more on efficiency and ignored energy consumption.
Mingliang Wu +7 more
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Flexible Job Shop Scheduling Problems with Arbitrary Precedence Graphs [PDF]
Production and Operations Management, 2021 A common assumption in the shop scheduling literature is that the processing order of the operations of each job is sequential; however, in practice, there can be multiple connections and finish‐to‐start dependencies among the operations of each job. This paper studies flexible job shop scheduling problems with arbitrary precedence graphs.
Kasapidis, G. A. +3 more
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Applied Sciences, 2023 In a flexible job shop problem with transportation (FJSPT), a typical flexible manufacturing system comprises transporters that pick up and deliver jobs for processing at flexible job shops.
Che Han Lim, Seung Ki Moon
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