Results 301 to 310 of about 1,901,812 (345)
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International Journal of Production Research, 2021
Dynamic flexible job-shop scheduling is traditionally a challenge in real-world manufacturing systems, especially considering the constraints of transportation resources and transportation time.
Weibo Ren, Yan Yan, Yaoguang Hu, Yu Guan
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Dynamic flexible job-shop scheduling is traditionally a challenge in real-world manufacturing systems, especially considering the constraints of transportation resources and transportation time.
Weibo Ren, Yan Yan, Yaoguang Hu, Yu Guan
semanticscholar +1 more source
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism
IEEE transactions on fuzzy systems, 2020The emergence of fuzzy sets makes job-shop scheduling problem (JSSP) become better aligned with the reality. This article addresses the JSSP with fuzzy execution time and fuzzy completion time (FJSSP).
D. Gao, Gai-ge Wang, W. Pedrycz
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IEEE Transactions on Industrial Informatics
As the intelligent manufacturing paradigm evolves, it is urgent to design a near real-time decision-making framework for handling the uncertainty and complexity of production line control.
Kun Lei +5 more
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As the intelligent manufacturing paradigm evolves, it is urgent to design a near real-time decision-making framework for handling the uncertainty and complexity of production line control.
Kun Lei +5 more
semanticscholar +1 more source
Adaptive scheduling for assembly job shop with uncertain assembly times based on dual Q-learning
International Journal of Production Research, 2020To address the uncertainty of production environment in assembly job shop, in combination of the real-time feature of reinforcement learning, a dual Q-learning (D-Q) method is proposed to enhance the adaptability to environmental changes by self-learning
Hao-xiang Wang +3 more
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Transfer-robot task scheduling in job shop
International Journal of Production Research, 2020This paper studies a simultaneous scheduling of production and material transfer in a job shop environment. The simultaneous scheduling approach has been recently adopted by warehouse operations, wherein transbots pick up jobs and deliver to pick ...
Andy Ham
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International Journal of Production Research, 2020
There is a lack of studies on joint optimisation of flexible job-shop scheduling problem (FJSP) considering energy consumption and production efficiency in the machining-assembly system.
Weibo Ren +5 more
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There is a lack of studies on joint optimisation of flexible job-shop scheduling problem (FJSP) considering energy consumption and production efficiency in the machining-assembly system.
Weibo Ren +5 more
semanticscholar +1 more source
IEEE/CAA Journal of Automatica Sinica, 2019
Flexible job shop scheduling problems ( FJSP ) have received much attention from academia and industry for many years. Due to their exponential complexity, swarm intelligence ( SI ) and evolutionary algorithms ( EA ) are developed, employed and improved ...
K. Gao +5 more
semanticscholar +1 more source
Flexible job shop scheduling problems ( FJSP ) have received much attention from academia and industry for many years. Due to their exponential complexity, swarm intelligence ( SI ) and evolutionary algorithms ( EA ) are developed, employed and improved ...
K. Gao +5 more
semanticscholar +1 more source
GECCO Companion, 2020
Genetic programming, as a hyper-heuristic approach, has been successfully used to evolve scheduling heuristics for job shop scheduling. However, the environments of job shops vary in configurations, and the scheduling heuristic for each job shop is ...
Fangfang Zhang +3 more
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Genetic programming, as a hyper-heuristic approach, has been successfully used to evolve scheduling heuristics for job shop scheduling. However, the environments of job shops vary in configurations, and the scheduling heuristic for each job shop is ...
Fangfang Zhang +3 more
semanticscholar +1 more source
A column generation-based approach for proportionate flexible two-stage no-wait job shop scheduling
International Journal of Production Research, 2020Job shop scheduling, as one of the classical scheduling problems, has been widely studied in literatures, and proved to be mostly NP-hard. Although it is extremely difficult to solve job shop scheduling with no-wait constraint to optimality, the two ...
Zhi Pei +3 more
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