3A1 DYNAMIC ROBUST SET OF APPROXIMATE NONDOMINATED SOLUTIONS UNDER SCENARIOS(Technical session 3A: Scheduling under uncertainty 1)
スポンサーリンク
概要
- 論文の詳細を見る
Uncertainties of circumstances in multiobjective production planning/scheduling have been expressed as scenarios. This paper assumes that the scenario can change from the reference scenario to any one of supposed scenarios once at any time during a given planning horizon, and defines the "dynamic robustness" using a cumulative density function of "point closeness." A method is proposed for generating a dynamic robust set of approximate nondominated solutions, and is applied to a single-machine two-objective scheduling problem to minimize both mean flow time and maximum tardiness.
- 2006-07-18
著者
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Nagasawa Hiroyuki
Department Of Industrial Engineering Graduate School Of Engineering Osaka Prefecture University
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Kawasaki Masahide
Department of Industrial Engineering, Graduate School of Engineering Osaka Prefecture University
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Morizawa Kazuko
Department of Industrial Engineering, Graduate School of Engineering Osaka Prefecture University
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Morizawa Kazuko
Department Of Industrial Engineering Graduate School Of Engineering Osaka Prefecture University
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Nagasawa Hiroyuki
Department Of Industrial Engineering College Of Engineering Osaka Prefecture University
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Kawasaki Masahide
Department Of Industrial Engineering Graduate School Of Engineering Osaka Prefecture University
関連論文
- 3A1 DYNAMIC ROBUST SET OF APPROXIMATE NONDOMINATED SOLUTIONS UNDER SCENARIOS(Technical session 3A: Scheduling under uncertainty 1)
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