Dynamic lot sizing for a warm/cold process: Heuristics and insights
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Dosyalar
Tarih
2013-09
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science BV
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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. (C) 2012 Elsevier B.V. All rights reserved.
Açıklama
Anahtar Kelimeler
Lot sizing, Warm/cold process, Rolling horizon, Heuristics
Kaynak
International Journal of Production Economics
WoS Q Değeri
Q1
