Genetic algorithm based reactive scheduling (2nd report, modification of production schedule for additional jobs)

Tatsuhiko Sakaguchi; Yoshitaka Tanimizu; Nobuhiro Sugimura

doi:10.1299/kikaic.71.3299

Genetic algorithm based reactive scheduling (2nd report, modification of production schedule for additional jobs)

Tatsuhiko Sakaguchi, Yoshitaka Tanimizu, Nobuhiro Sugimura

研究成果: Review article › 査読

3 被引用数 (Scopus)

抄録

A systematic scheduling method is required to modify the predetermined production schedules in order to cope with unforeseen changes in manufacturing systems. The objective of the present research is to propose a scheduling method based on GA (Genetic Algorithm) for modifying delayed production schedules due to the additional jobs, reactively. A prototype of reactive scheduling system is developed and applied to scheduling problems. The effectiveness of the proposed method is verified through the numerical expreriments of the reactive scheduling problems.

本文言語	English
ページ（範囲）	3299-3305
ページ数	7
ジャーナル	Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
巻	71
号	11
DOI	https://doi.org/10.1299/kikaic.71.3299
出版ステータス	Published - 2005 11
外部発表	はい

ASJC Scopus subject areas

材料力学
機械工学
産業および生産工学

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10.1299/kikaic.71.3299

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author = "Tatsuhiko Sakaguchi and Yoshitaka Tanimizu and Nobuhiro Sugimura",

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AU - Sugimura, Nobuhiro

PY - 2005/11

Y1 - 2005/11

N2 - A systematic scheduling method is required to modify the predetermined production schedules in order to cope with unforeseen changes in manufacturing systems. The objective of the present research is to propose a scheduling method based on GA (Genetic Algorithm) for modifying delayed production schedules due to the additional jobs, reactively. A prototype of reactive scheduling system is developed and applied to scheduling problems. The effectiveness of the proposed method is verified through the numerical expreriments of the reactive scheduling problems.

AB - A systematic scheduling method is required to modify the predetermined production schedules in order to cope with unforeseen changes in manufacturing systems. The objective of the present research is to propose a scheduling method based on GA (Genetic Algorithm) for modifying delayed production schedules due to the additional jobs, reactively. A prototype of reactive scheduling system is developed and applied to scheduling problems. The effectiveness of the proposed method is verified through the numerical expreriments of the reactive scheduling problems.

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KW - Variety

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JO - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C

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Genetic algorithm based reactive scheduling (2nd report, modification of production schedule for additional jobs)

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ASJC Scopus subject areas

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