Innovative supply chain optimization models with multiple uncertainty factors

被引：38

作者：

Choi, Tsan-Ming ^{[1
]}

Govindan, Kannan ^{[2
]}

Li, Xiang ^{[3
]}

Li, Yongjian ^{[4
]}

机构：

[1] Hong Kong Polytech Univ, Inst Text & Clothing, Kowloon, Hong Kong, Peoples R China

[2] Univ Southern Denmark, Dept Technol & Innovat, Ctr Sustainable Supply Chain Engn, DK-5230 Odense M, Denmark

[3] Nankai Univ, Coll Econ & Social Dev, Tianjin 300071, Peoples R China

[4] Nankai Univ, Sch Business, Tianjin 300071, Peoples R China

来源：

ANNALS OF OPERATIONS RESEARCH | 2017年 / 257卷 / 1-2期

关键词：

Supply chain management; Multiple uncertainty factors; Risk management; ENTERPRISE RISK-MANAGEMENT;

D O I：

10.1007/s10479-017-2582-4

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

Uncertainty is an inherent factor that affects all dimensions of supply chain activities. In today's business environment, initiatives to deal with one specific type of uncertainty might not be effective since other types of uncertainty factors and disruptions may be present. These factors relate to supply chain competition and coordination. Thus, to achieve a more efficient and effective supply chain requires the deployment of innovative optimization models and novel methods. This preface provides a concise review of critical research issues regarding innovative supply chain optimization models with multiple uncertainty factors. It also introduces the special issue's research papers and their respective insights.

引用

页码：1 / 14

页数：14