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
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 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
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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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
A case study of variational quantum algorithms for a job shop scheduling problem [PDF]
EPJ Quantum Technology, 2021 Combinatorial optimization models a vast range of industrial processes aiming at improving their efficiency. In general, solving this type of problem exactly is computationally intractable.
D. Amaro +4 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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Solving flexible job shop scheduling problems in manufacturing with Quantum Annealing
Production Engineering, 2022 Quantum Annealing (QA) is a metaheuristic for solving optimization problems in a time-efficient manner. Therefore, quantum mechanical effects are used to compute and evaluate many possible solutions of an optimization problem simultaneously.
Philipp Schworm +3 more
semanticscholar +1 more source
IEEE Transactions on Evolutionary Computation, 2021 Dynamic flexible job shop scheduling (JSS) is an important combinatorial optimization problem with complex routing and sequencing decisions under dynamic environments.
Fangfang Zhang +4 more
semanticscholar +1 more source