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A robust capacitated lot sizing problem with setup times and overtime decisions with backordering allowed under demand uncertainty

机译:在需求不确定的情况下,带有定购时间和超时决策的强大容量定型问题,允许补货

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摘要

This research work considers the multi-product multi-period capacitated lot-sizing problem with setup times and overtime with backordering allowed (CLSPSTOB) under demand uncertainty by means of a budget-uncertainty set robust optimization. We first present a mixed integer linear programming (MILP) model that describes the deterministic CLSPSTOB with production costs, setup costs, inventory holding costs, backordering costs, and overtime costs. Then, a robust optimization approach is applied to deal with the demand uncertainty with unknown probability distribution, and a robust counterpart model based on duality theory is obtained. Some numerical experiments are presented for the robust capacitated lot-sizing problem with setup times and overtime with backordering allowed (RCLSPSTOB).
机译:这项研究工作通过预算不确定性设置的鲁棒优化方法,考虑了在需求不确定性下具有设置时间和允许补货的加班时间(CLSPSTOB)的多产品多周期容量批量问题。我们首先提出一个混合整数线性规划(MILP)模型,该模型描述了确定性CLSPSTOB,其中包含生产成本,设置成本,库存持有成本,缺货订单成本和加班成本。然后,采用鲁棒优化方法处理未知概率分布下的需求不确定性,得到基于对偶理论的鲁棒对应模型。提出了一些数值实验,以解决带有设置时间和允许补缺的超时工作的鲁棒容量批量问题(RCLSPSTOB)。

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