Metaheuristics for the multi-item capacitated lot-sizing problem with time Windows and setup times

Ridha Erromdhani, B. Jarboui, M. Eddaly, A. Rebai
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Abstract

In this paper, we address to the multi-item capacitated lot-sizing problem with production time windows and setup times under the non-customer specific case. This problem is known to be NP-hard. Two cooperative approaches are proposed for solving this problem by combining mathematical programming and metaheuristics based on a decomposition scheme. The algorithms use simultaneously the mathematical programming and heuristic procedures such that the local Search algorithm and Variable Neighborhood descent algorithm. The computational experiments show the effectiveness of our proposed algorithms according to the approaches already presented in the litterature.
具有时间窗口和设置时间的多产品批量问题的元启发式方法
在本文中,我们解决了在非客户特定情况下具有生产时间窗口和设置时间的多项目批量问题。这个问题被称为NP-hard。提出了基于分解方案的数学规划与元启发式相结合的两种协作方法。该算法同时使用数学规划和启发式程序,如局部搜索算法和可变邻域下降算法。计算实验表明,根据文献中已经提出的方法,我们提出的算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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