供应中断风险下OEM供应链弹性运作与提升策略

doi:10.16381/j.cnki.issn1003-207x.2018.02.016

中国管理科学 ›› 2018, Vol. 26 ›› Issue (2): 152-159.doi: 10.16381/j.cnki.issn1003-207x.2018.02.016

供应中断风险下OEM供应链弹性运作与提升策略

孔繁辉¹, 李健^1,2

1. 天津理工大学循环经济与企业可持续发展研究中心, 天津 300384;
2. 天津大学管理与经济学部, 天津 300072

收稿日期:2016-08-23 修回日期:2017-03-01 出版日期:2018-02-20 发布日期:2018-04-20
通讯作者: 孔繁辉(1989-),女(汉族),河北青县人,天津理工大学管理学院,博士生,研究方向:供应链管理,E-mail:kfh0609@163.com. E-mail:kfh0609@163.com
基金资助:
教育部哲学社会科学研究重大课题攻关项目（15JZD021）；天津市高等学校创新团队培养计划资助项目（TD12-5013）

Resilient Operation and Promotion Strategy of OEM Supply Chain under Supply Disruption Risk

KONG Fan-hui¹, LI Jian^1,2

1. The Center of Circular Economy and Enterprise Sustainable Development, Tianjin University of Technology, Tianjin 300384, China;
2. School of Management, Tianjin University, Tianjin 300072, China

Received:2016-08-23 Revised:2017-03-01 Online:2018-02-20 Published:2018-04-20

摘要/Abstract

摘要： 供应中断是OEM供应链中企业面临的主要风险。本文基于供应链弹性分析的角度，将OEM供应链弹性运作问题描述为多变量耦合控制模型，构建了可变结构的弹性控制系统，研究了在供应中断风险冲击下OEM供应链弹性交互影响机制。在此基础上，提出了一种有针对性的提升供应链弹性的深度学习机制，此算法比传统的BP神经网络更加能够提高供应链绩效，并结合案例进行验证。研究结果表明：当供应中断发生时，深度学习算法可有效提升OEM供应链弹性，最大程度减轻企业损失。

关键词: OEM供应链, 供应中断, 多变量耦合, 深度学习机制, 弹性提升策略

Abstract: Because the OEM supply chain may face greater disruption risk than ordinary supply chain, in this paper, the elasticity operation and promotion strategy for OEM supply chain are mainly studied. OEM supply chain resilient operation problem is described as a multivariable coupling control model, constructing the resilient control system of variable structure, researching the impact of supply chain resilient interaction mechanism undersupply disruption risk. On this basis, a kind of deep learning mechanism is put forward to improve the flexibility of OEM supply chain. This algorithm can improve the performance of OEM supply chain more than the traditional BP neural network. The results show that:when the supply disruption occurs, the deep learning algorithm can effectively enhance the OEM supply chain flexibility, and it can reduce the pecuniary loss of the enterprise to the maximum extent.

Key words: OEM supply chain, supply disruption, multivariable coupling control, deep learning, resilient promotion strategy

中图分类号:

F270

孔繁辉, 李健. 供应中断风险下OEM供应链弹性运作与提升策略[J]. 中国管理科学, 2018, 26(2): 152-159.

KONG Fan-hui, LI Jian. Resilient Operation and Promotion Strategy of OEM Supply Chain under Supply Disruption Risk[J]. Chinese Journal of Management Science, 2018, 26(2): 152-159.

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供应中断风险下OEM供应链弹性运作与提升策略

Resilient Operation and Promotion Strategy of OEM Supply Chain under Supply Disruption Risk

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