Proposta de classificação hierarquizada dos modelos de solução para o problema de job shop scheduling A proposition of hierarchical classification for solution models in the job shop scheduling problem [PDF]
Gestão & Produção, 1999 Este artigo propõe uma classificação hierarquizada dos modelos utilizados na solução do problema de programação da produção intermitente do tipo job shop, incluindo tanto os que fornecem solução ótima, quanto os modelos heurísticos mais recentes baseados
Ricardo Ferrari Pacheco +1 more
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An improved adaptive neural network for job-shop scheduling [PDF]
, 2006 This article is posted here with permission of IEEE - Copyright @ 2005 IEEEJob-shop scheduling is one of the most difficult production scheduling problems in industry.
Yang, S
core +5 more sources
Multi-Objective Flexible Job Shop Scheduling Using Genetic Algorithms [PDF]
Tehnički Vjesnik, 2022 Flexible Job Shop Scheduling is an important problem in the fields of combinatorial optimization and production management. This research addresses multi-objective flexible job shop scheduling problem with the objective of simultaneous minimization of ...
Attia Boudjemline +5 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
doaj +2 more sources
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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A Research Review on Job Shop Scheduling Problem [PDF]
E3S Web of Conferences, 2021 In recent years, the manufacturing industry has developed rapidly with fierce competition. Manufacturing enterprises are faced with the challenge of on-time delivery, multiple product choices and quick response to order modification.
Yu Yingchen
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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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Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning
IEEE Transactions on Industrial Informatics, 2023 Recently, deep reinforcement learning (DRL) has been applied to learn priority dispatching rules (PDRs) for solving complex scheduling problems. However, the existing works face challenges in dealing with flexibility, which allows an operation to be ...
Wen Song +3 more
semanticscholar +1 more source
Deep Reinforcement Learning for Dynamic Flexible Job Shop Scheduling with Random Job Arrival
Processes, 2022 The production process of a smart factory is complex and dynamic. As the core of manufacturing management, the research into the flexible job shop scheduling problem (FJSP) focuses on optimizing scheduling decisions in real time, according to the changes
Jingru Chang +4 more
semanticscholar +1 more source
Applying flexible job shop scheduling in patients management to optimize processing time in hospitals. [PDF]
International Journal of Research in Industrial Engineering, 2021 The continuous growth of the population causes an increased demand for our healthcare services. Insufficient hospitals face challenges to serve the patient within a preferable duration.
N. Sarfaraj, Md. L. Lingkon, N. Zahan
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