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An MIP-based interval heuristic for the capacitated multi-level lot-sizing problem with setup times

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Abstract

This paper considers the capacitated multi-level lot-sizing problem with setup times, a class of difficult problems often faced in practical production planning settings. In the literature, relax-and-fix is a technique commonly applied to solve this problem due to the fact that setup decisions in later periods of the planning horizon are sensitive to setup decisions in the early periods but not vice versa. However, the weakness of this method is that setup decisions are optimized only on a small subset of periods in each iteration, and setup decisions fixed in early iterations might adversely affect setup decisions in later periods. In order to avoid these weaknesses, this paper proposes an extended relax-and-fix based heuristic that systematically uses domain knowledge derived from several strategies of relax-and-fix and a linear programming relaxation technique. Computational results show that the proposed heuristic is superior to other well-known approaches on solution qualities, in particular on hard test instances.

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Acknowledgements

This research was supported in part by the National Science Foundation under grant CMMI-00646697, and by the Air Force of Scientific Research under grant FA9550-07-1-0390. The authors are also thankful to two anonymous referees for their suggestions improving the presentation of the paper.

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Correspondence to Tao Wu.

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Wu, T., Shi, L. & Song, J. An MIP-based interval heuristic for the capacitated multi-level lot-sizing problem with setup times. Ann Oper Res 196, 635–650 (2012). https://doi.org/10.1007/s10479-011-1026-9

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