Single machine scheduling for multi-assembly jobs with preemption

© 2016 IEEE. This research proposes a mathematic model for scheduling multi-assembly jobs with uncertain arrival of raw materials or sub-assembly parts and allowable preemption, aiming to minimize tardiness penalty and set-up cost under a single machine. The experimental results show that using the...

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Main Authors: L. Boonma, R. Sirovetnukul, T. Sarttra
其他作者: Mahidol University
格式: Conference or Workshop Item
出版: 2018
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在線閱讀:https://repository.li.mahidol.ac.th/handle/123456789/43270
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機構: Mahidol University
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總結:© 2016 IEEE. This research proposes a mathematic model for scheduling multi-assembly jobs with uncertain arrival of raw materials or sub-assembly parts and allowable preemption, aiming to minimize tardiness penalty and set-up cost under a single machine. The experimental results show that using the exact algorithm (Branch and Bound) in Lingo 12 is not capable of solve the large-sized problems. Balancing tardiness and set-up cost (BTS) algorithm, therefore, is developed and is capable to solve much larger size of the problem with reasonable solution quality and computational time.