Agility and Proximity Considerations in Supply Chain Design

Agility and Proximity Considerations in Supply Chain Design
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DOI:
10.2139/ssrn.2022679
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发表时间:
2012-03
期刊:
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影响因子:
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通讯作者:
M. Lim;Ho‐Yin Mak;Z. Shen
M. Lim;Ho‐Yin Mak;Z. Shen
中科院分区:
其他
文献类型:
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作者:
M. Lim;Ho‐Yin Mak;Z. Shen

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战略供应链设计决策对企业的长期成功至关重要。供应链设计的传统设施选址模型关注的是邻近性的成本和收益之间的权衡,即,设施与客户之间的距离。这些以战略为中心的模型没有考虑供应链的敏捷性,即,快速响应客户需求意外波动的能力。在本文中,我们研究了需求不确定性下的供应链分销网络的设计问题,并分析了最优设计特性的邻近性和敏捷性如何依赖于各种输入参数。我们能够得出管理的见解,敏捷性的考虑如何可能无效的良好建立和广泛接受的定性结果来自传统的模型。特别是,我们表明,它是最优的,以增加DCs的密度时,短缺惩罚成本的增加,并减少DCs的密度时,一定的单位运输成本参数增加。通过这些发现,我们的工作传达了这样一个信息,即传统的,基于邻近度的设施选址模型可能不足以设计现代响应式供应链,并呼吁需要开发一种新的模型来完成这项任务。
Strategic supply chain design decisions are critical to the long-term success of a business. Traditional facility location models for supply chain design focus on the trade-offs between the costs and benefits of proximity, i.e., the distance between facilities and customers. These strategic-focused models do not consider the supply chain's agility, i.e., its ability to quickly respond to unexpected fluctuations in customer needs. In this paper, we study the problem of designing a supply chain distribution network under demand uncertainty and analyze how the optimal design characteristics of proximity and agility depend on various input parameters. We are able to draw managerial insights on how agility considerations may invalidate well-established and widely-accepted qualitative results derived from traditional models. In particular, we show that it is optimal to increase the density of DCs when the shortage penalty cost increases, and to decrease the density of DCs when a certain unit transportation cost parameter increases. Through these findings, our work conveys the message that traditional, proximity-based facility location models can be inadequate for designing modern responsive supply chains, and calls for the need to develop a new class of models for the task.