Toy, Ayhan ÖzgürBerk, Emre2021-02-242021-02-242013-091873-75790925-5273https://hdl.handle.net/11411/3287https://doi.org/10.1016/j.ijpe.2012.09.006We 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.eninfo:eu-repo/semantics/openAccessLot sizingWarm/cold processRolling horizonHeuristicsArticle2-s2.0-8488091940110.1016/j.ijpe.2012.09.006Q1WOS:000323470500006