MIP-based heuristics for multi-item capacitated lot-sizing problem with setup times and shortage costs - Archive ouverte HAL Access content directly
Journal Articles RAIRO - Operations Research Year : 2007

MIP-based heuristics for multi-item capacitated lot-sizing problem with setup times and shortage costs

Abstract

We address a multi-item capacitated lot-sizing problem with setup times that arises in real-world production planning contexts. Demand cannot be backlogged, but can be totally or partially lost. Safety stock is an objective to reach rather than an industrial constraint to respect. The problem is NP-hard. We propose mixed integer programming heuristics based on a planning horizon decomposition strategy to find a feasible solution. The planning horizon is partitioned into several sub-horizons over which a freezing or a relaxation strategy is applied. Some experimental results showing the effectiveness of the approach on real-world instances are presented. A sensitivity analysis on the parameters of the heuristics is reported.

Dates and versions

emse-01182232 , version 1 (03-08-2015)

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Nabil Absi, Safia Kedad-Sidhoum. MIP-based heuristics for multi-item capacitated lot-sizing problem with setup times and shortage costs. RAIRO - Operations Research, 2007, 41 (2), pp.171-192. ⟨10.1051/ro:2007014⟩. ⟨emse-01182232⟩
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