Innovative supply chain optimization models with multiple uncertainty factors

Tsan Ming Choi, Kannan Govindan*, Xiang Li, Yongjian Li

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

Abstract

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.

Original languageEnglish
JournalAnnals of Operations Research
Volume257
Issue number1-2
Pages (from-to)1-14
ISSN0254-5330
DOIs
Publication statusPublished - 2017

Keywords

  • Multiple uncertainty factors
  • Risk management
  • Supply chain management

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