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Regulations, biosecurity measures, and impact of COVID-19: A comprehensive mixed method study in traditional wet and live animal markets in Bangladesh. [PDF]
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Deep reinforcement learning for dynamic scheduling of a flexible job shop
International Journal of Production Research, 2022The ability to handle unpredictable dynamic events is becoming more important in pursuing agile and flexible production scheduling. At the same time, the cyber-physical convergence in production system creates massive amounts of industrial data that ...
Renke Liu, R. Piplani, C. Toro
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IEEE Transactions on Industrial Informatics, 2022
The job-shop scheduling problem (JSP) is NP hard, which has very important practical significance. Because of many uncontrollable factors, such as machine delay or human factors, it is difficult to use a single real-number to express the processing and ...
Gai-ge Wang, D. Gao, W. Pedrycz
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The job-shop scheduling problem (JSP) is NP hard, which has very important practical significance. Because of many uncontrollable factors, such as machine delay or human factors, it is difficult to use a single real-number to express the processing and ...
Gai-ge Wang, D. Gao, W. Pedrycz
semanticscholar +1 more source
A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem
IEEE Transactions on Automation Science and Engineering, 2022In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the flexible job shop scheduling problem with crane transportation ...
Jun-qing Li +6 more
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IEEE Transactions on Automation Science and Engineering, 2022
In modern discrete flexible manufacturing systems, dynamic disturbances frequently occur in real time and each job may contain several special operations in partial-no-wait constraint due to technological requirements.
Shu Luo, Linxuan Zhang, Yushun Fan
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In modern discrete flexible manufacturing systems, dynamic disturbances frequently occur in real time and each job may contain several special operations in partial-no-wait constraint due to technological requirements.
Shu Luo, Linxuan Zhang, Yushun Fan
semanticscholar +1 more source
International Journal of Production Research, 2022
In a complex and dynamic job shop containing logistics factor, schedule needs to be generated rapidly, so the real-time scheduling method is more suitable for such scenario.
Lei Cai, Wenfeng Li, Yun Luo, Lijun He
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In a complex and dynamic job shop containing logistics factor, schedule needs to be generated rapidly, so the real-time scheduling method is more suitable for such scenario.
Lei Cai, Wenfeng Li, Yun Luo, Lijun He
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, 1996 In this chapter we are going to consider scheduling tasks on dedicated processors or machines. We assume that tasks belong to a set of jobs, each of which is characterized by its own machine sequence. We will assume that any two consecutive tasks of the same job are to be processed on different machines. The type of factory layout is the job shop.
Jan Węglarz +4 more
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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
On transforming job-shops into flow-shops
Production Planning & Control, 2002In this paper the problem of transforming a job-shop environment into a flow-shop is addressed, where scheduling issues are simpler and pull production control systems might be easily applied. A linear programming model employing machine investment minimization as objective function is proposed.
Jose M. Framinan, Rafael Ruiz-Usano
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