Open AccessDesign of demand driven return supply chain for high-tech products
Author(s) -
J. Ashayeri,
Gülfem Tuzkaya
Publication year - 2011
Publication title -
journal of industrial engineering and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.385
H-Index - 29
eISSN - 2013-8423
pISSN - 2013-0953
DOI - 10.3926/jiem.2011.v4n3.p481-503
Subject(s) - reverse logistics , analytic hierarchy process , dynamism , computer science , high tech , task (project management) , supply chain , analytic network process , network planning and design , operations research , process (computing) , industrial engineering , systems engineering , engineering , business , marketing , physics , quantum mechanics , political science , law , operating system , computer network
Purpose: The purpose of this study is to design a responsive network for after-sale services of high-tech products. Design/methodology/approach: Analytic Hierarchy Process (AHP) and weighted max-min approach are integrated to solve a fuzzy goal programming model. Findings: Uncertainty is an important characteristic of reverse logistics networks, and the level of uncertainty increases with the decrease of the products’ life-cycle. Research limitations/implications: Some of the objective functions of our model are simplified to deal with non-linearities. Practical implications: Designing after-sale services networks for high-tech products is an overwhelming task, especially when the external environment is characterized by high levels of uncertainty and dynamism. This study presents a comprehensive modeling approach to simplify this task. Originality/value: Consideration of multiple objectives is rare in reverse logistics network design literature. Although the number of multi-objective reverse logistics network design studies has been increasing in recent years, the last two objective of our model is unique to this research area