稳健全球供应链网络的供应商选择实践:全球汽车行业仿真

Supplier-Selection Practices for Robust Global Supply Chain Networks: A Simulation Of The Global Auto Industry

CALIFORNIA MANAGEMENT REVIEW · 2022
被引 29
人大 A-ABS 3

中文导读

结合三家全球汽车制造商的供应链网络实证分析与计算实验,发现即使少量买家采用区域化供应商选择(选择地理邻近的供应商),也能显著提升供应链网络应对地理扩散中断的稳健性。

Abstract

How can companies develop and maintain global supply chain networks that are robust—that is, capable of maintaining an uninterrupted flow of goods and materials—when confronted with a geographically spreading disruption that could cause the shutdown of multiple suppliers at once? To answer this question, this article combines an empirical analysis of supply chain networks of three global automotive manufacturers with computational experiments. The results reveal that even when a small fraction of buyers adopt regionalizing supplier-selection practices—those in which a buyer chooses geographically proximate suppliers, whether to the buyer or its current suppliers—the supply chain network becomes more robust.

供应链管理汽车行业供应商选择风险管理仿真实验