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Supply chain flexibility and operations optimisation under demand uncertainty: a case in disaster relief

机译:需求不确定性下的供应链灵活性和运营优化:救灾案例

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摘要

After a disaster happens, emergency response operations are critical to save humans' lives and properties. The limited resources and time requirements call for coordinated supply chain operations. This paper studies supply chain operations for rescue kits in disaster reliefs, motivated by a real-world application. The objective is to minimise the total tardiness and peak tardiness of product delivery over the multi-period planning horizon. One major challenge is the lack of reliable prediction of customer demand in disasters. In order to cope with demand uncertainty while maintaining the tractability of the optimisation model, we decompose the demand into two components: a relatively stable base demand predicted by historical data and unpredictable demand surges. For the base demand, an optimisation model is developed to optimise the production and distribution operations, as well as the inventory replenishment policy for manufacturers and distribution centres, so as to minimise the total tardiness. For the demand surges, we propose to deploy supply chain flexibility to cope with the uncertainty. An empirical study shows the effectiveness of increasing supply chain flexibility and suggests some managerial insights on configuring such flexibility in emergency operations.
机译:灾难发生后,应急行动对于挽救人类生命和财产至关重要。有限的资源和时间要求要求协调的供应链运作。本文以实际应用为动机,研究了救灾中的救援包的供应链运作。目的是在多周期计划范围内将产品交付的总拖延和峰值拖延降至最低。一个主要挑战是在灾难中缺乏对客户需求的可靠预测。为了在保持优化模型的可处理性的同时应对需求不确定性,我们将需求分解为两个部分:由历史数据预测的相对稳定的基本需求和不可预测的需求激增。针对基本需求,开发了一个优化模型来优化生产和分销操作,以及制造商和分销中心的库存补充策略,以使总拖延最小化。对于需求激增,我们建议部署供应链灵活性以应对不确定性。一项实证研究显示了提高供应链灵活性的有效性,并提出了一些管理方面的见解,以期在应急操作中配置这种灵活性。

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