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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th-mahidol.432702019-03-14T15:04:20Z Single machine scheduling for multi-assembly jobs with preemption L. Boonma R. Sirovetnukul T. Sarttra Mahidol University Business, Management and Accounting Engineering © 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. 2018-12-11T02:27:03Z 2019-03-14T08:04:20Z 2018-12-11T02:27:03Z 2019-03-14T08:04:20Z 2016-12-27 Conference Paper IEEE International Conference on Industrial Engineering and Engineering Management. Vol.2016-December, (2016), 60-64 10.1109/IEEM.2016.7797836 2157362X 21573611 2-s2.0-85009833692 https://repository.li.mahidol.ac.th/handle/123456789/43270 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85009833692&origin=inward |
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Business, Management and Accounting Engineering L. Boonma R. Sirovetnukul T. Sarttra Single machine scheduling for multi-assembly jobs with preemption |
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© 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. |
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Mahidol University |
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Mahidol University L. Boonma R. Sirovetnukul T. Sarttra |
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Conference or Workshop Item |
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L. Boonma R. Sirovetnukul T. Sarttra |
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L. Boonma |
title |
Single machine scheduling for multi-assembly jobs with preemption |
title_short |
Single machine scheduling for multi-assembly jobs with preemption |
title_full |
Single machine scheduling for multi-assembly jobs with preemption |
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Single machine scheduling for multi-assembly jobs with preemption |
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Single machine scheduling for multi-assembly jobs with preemption |
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single machine scheduling for multi-assembly jobs with preemption |
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2018 |
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