Design of demand driven return supply chain for high-tech products
Abstract: 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.
Keywords: after-sale services,
reserve logistics, AHP, weighted max-min approach, fuzzy goal-programming
Author: Jalal Ashayeri, Gülfem
Tuzkaya
Journal Code: jptindustrigg110040
