Presentation 2014/6/18
Flexible job shop scheduling with weighted tardiness and setup worker load balance in make-to-order manufacturing
YASUHIKO MORINAGA, MASAHIRO NAGAO, MITSURU SANO,
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Abstract(in English) This paper describes the optimization of flexible job-shop scheduling problem (FJSP) in small and medium-sized companies with make-to-order (MTO) manufacturing many kinds of products. Incorporating weighted tardiness and set-up worker load balance to the objective function of the problem, we develop Genetic Algorithm (GA) using island model and a study of production data in real world make-to-order manufacturing type small business. Comparing the solutions by developed GA with the values obtained by prioritizing due date alone schedule such as EDD (Earliest due date), we confirm the effectiveness of the proposed method. In addition, we conduct numerical experiments on risk, which is general in the enterprise, and countermeasures by using this technique, and confirm that it is possible to quantitatively evaluate the effects. We suggest that the proposed method has potential to contribute to the business judgment in the make-to-order type small business with products and services by incorporating other objective functions
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Paper # Vol.2014-MPS-98 No.24,Vol.2014-BIO-38 No.24
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Committee IBISML
Conference Date 2014/6/18(1days)
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Registration To Information-Based Induction Sciences and Machine Learning (IBISML)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Flexible job shop scheduling with weighted tardiness and setup worker load balance in make-to-order manufacturing
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1st Author's Name YASUHIKO MORINAGA
1st Author's Affiliation Nagoya University Graduate School of Environment Studies()
2nd Author's Name MASAHIRO NAGAO
2nd Author's Affiliation Nagoya University Graduate School of Environment Studies
3rd Author's Name MITSURU SANO
3rd Author's Affiliation Nagoya University Graduate School of Environment Studies
Date 2014/6/18
Paper # Vol.2014-MPS-98 No.24,Vol.2014-BIO-38 No.24
Volume (vol) vol.114
Number (no) 105
Page pp.pp.-
#Pages 7
Date of Issue