Volume 26, Number 1 (IJIEPR 2015)                   IJIEPR 2015, 26(1): 63-84 | Back to browse issues page



DOI: 10.22068/ijiepr.26.1.63

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hasani A, Zegordi S H. A Robust Competitive Global Supply Chain Network Design under Disruption: The Case of Medical Device Industry . IJIEPR. 2015; 26 (1) :63-84
URL: http://ijiepr.iust.ac.ir/article-1-580-en.html

Associate professor Tarbiat Modares University , zegordi@modares.ac.ir
Abstract:   (924 Views)
In this study, an optimization model is proposed to design a Global Supply Chain (GSC) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. Therefore, static competition between the distributors’ facilities to more efficiently gain a further share in market of Economic Cooperation Organization trade agreement (ECOTA) is considered. This competition condition is affected by disruption occurrence. The aim of the proposed model is to maximize the expected net after-tax profit of GSC under disruption and normal situation at the same time. To effectively deal with disruption, some practical strategies are adopted in the design of GSC network. The uncertainty of the business environment is modeled using the robust optimization technique based on the concept of uncertainty budget. To tackle the proposed Mixed-Integer Nonlinear Programming (MINLP) model, a hybrid Taguchi-based Memetic Algorithm (MA) with an adaptive population size is developed that incorporates a customized Adaptive Large Neighborhood Search (ALNS) as its local search heuristic. A fitness landscape analysis is used to improve the systematic procedure of neighborhood selection in the proposed ALNS. A numerical example and computational results illustrate the efficiency of the proposed model and algorithm in dealing with global disruptions under uncertainty and competition pressure.
Full-Text [PDF 359 kb]   (556 Downloads)    
Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2014/02/20 | Accepted: 2015/05/3 | Published: 2015/08/22

Add your comments about this article : Your username or email:
Write the security code in the box

Send email to the article author


© 2015 All Rights Reserved | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb