Dynamic lot sizing for a warm/cold process: Heuristics and insights

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• 作者：Ayhan ?zg¨¹r Toy ; Emre Berk
• 关键词：Lot sizing ; Warm/cold process ; Rolling horizon ; Heuristics
• 刊名：International Journal of Production Economics
• 出版年：2013
• 出版时间：September, 2013
• 年：2013
• 卷：145
• 期：1
• 页码：53-66
• 全文大小：1196 K

文摘

We consider the dynamic lot sizing problem for a warm/cold process where the process can be kept warm at a unit variable cost for the next period if more than a prespecified quantity has been produced. Exploiting the optimal production plan structures, we develop nine rule-based forward solution heuristics. Proposed heuristics are modified counterparts of the heuristics developed previously for the classical dynamic lot sizing problem. In a numerical study, we investigate the performance of the proposed heuristics and identify operating environment characteristics where each particular heuristic is the best or among the best. Moreover, for a warm/cold process setting, our numerical studies indicate that, when used on a rolling horizon basis, a heuristic may also perform better costwise than a solution obtained using a dynamic programming approach.