Artikel

Design of demand driven return supply chain for high-tech products

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.

Sprache
Englisch

Erschienen in
Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 4 ; Year: 2011 ; Issue: 3 ; Pages: 481-503 ; Barcelona: OmniaScience

Klassifikation
Management
Thema
after-sale services
reserve logistics
AHP
weighted max-min approach
fuzzy goal-programming

Ereignis
Geistige Schöpfung
(wer)
Ashayeri, Jalal
Tuzkaya, Gülfem
Ereignis
Veröffentlichung
(wer)
OmniaScience
(wo)
Barcelona
(wann)
2011

DOI
doi:10.3926/jiem.v4n3.p481-503
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Ashayeri, Jalal
  • Tuzkaya, Gülfem
  • OmniaScience

Entstanden

  • 2011

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