Innovative supply chain optimization models with multiple uncertainty factors
Journal
Annals of Operations Research
Journal Volume
257
Journal Issue
44563
Date Issued
2017
Author(s)
Abstract
Uncertainty is an inherent factor that affects all dimensions of supply chain activities. In today? 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? research papers and their respective insights. ? 2017, Springer Science+Business Media, LLC.
Subjects
Multiple uncertainty factors; Risk management; Supply chain management
Publisher
Springer New York LLC
Type
editorial