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

Masoud Esmaeilikia, Behnam Fahimnia (), Joeseph Sarkis, Kannan Govindan, Arun Kumar and John Mo
Additional contact information
Masoud Esmaeilikia: RMIT University
Behnam Fahimnia: University of Technology Sydney
Joeseph Sarkis: Worcester Polytechnic Institute
Kannan Govindan: University of Southern Denmark
Arun Kumar: RMIT University
John Mo: RMIT University

Annals of Operations Research, 2016, vol. 244, issue 2, No 8, 429-454

Abstract: 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.

Keywords: Supply chain management; Tactical planning; Flexibility; Mathematical modeling; Empirical study (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-013-1513-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:244:y:2016:i:2:d:10.1007_s10479-013-1513-2

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-013-1513-2

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().