A tactical supply chain planning model with multiple flexibility options: an empirical evaluation

Masoud Esmaeilikia, Behnam Fahimnia*, Joseph Sarkis, Kannan Govindan, Arun Kumar, John Mo

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

27 Citations (Scopus)

Abstract

Supply chain flexibility is widely recognized as an approach to manage uncertainty. Uncertainty in the supply chain may arise from a number of sources such as demand and supply interruptions and lead time variability. A tactical supply chain planning model with multiple flexibility options incorporated in sourcing, manufacturing and logistics functions can be used for the analysis of flexibility adjustment in an existing supply chain. This paper develops such a tactical supply chain planning model incorporating a realistic range of flexibility options. A novel solution method is designed to solve the developed mixed integer nonlinear programming model. The utility of the proposed model and solution method is evaluated using data from an empirical case study. Analysis of the numerical results in different flexibility adjustment scenarios provides various managerial insights and practical implications.

Original languageEnglish
Peer-reviewed scientific journalAnnals of Operations Research
Volume244
Issue number2
Pages (from-to)429-454
Number of pages26
ISSN0254-5330
DOIs
Publication statusPublished - 01.09.2016
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • Supply chain management
  • Tactical planning
  • Flexibility
  • Mathematical modeling
  • Empirical study

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