BRANCH-AND-BOUND APPROACH FOR A STOCHASTIC PRODUCTION PLANNING PROBLEM WITH CAPACITY CONSTRAINTS
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概要
- 論文の詳細を見る
A stochastic production planning problem with a finite number of planning periods is analyzed where cumulative demands up to each period are independent random variables with continuous probability distributions. In the problem, backlogging is permitted and production is restricted by its capacity. Dynamic but linear costs of inventory holding and backlogging, and of production with setup charge are considered. A branch-and-bound algorithm is developed to find an optimal plan within finite searching steps, and its computational effectiveness is evaluated.
- 社団法人日本オペレーションズ・リサーチ学会の論文
著者
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Lee Young
Korea Advanced Institute Of Science And Technology
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Sung Chang
Department Of Food Science And Technology Chungnam National University
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