Dynamic lot sizing for a warm/cold process: Heuristics and insights
Toy, A. O.
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/13074
International Journal of Production Economics
- Department of Management 
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. & 2012 Elsevier B.V. All rights reserved.
Toy, A. Ö., & Berk, E. (2013). Dynamic lot sizing for a warm/cold process: heuristics and insights. International Journal of Production Economics, 145(1), 53-66.