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

    1. [1] Tilburg University

      Tilburg University

      Países Bajos

    2. [2] Yıldız Technical University

      Yıldız Technical University

      Turquía

  • Localización: Journal of Industrial Engineering and Management, ISSN-e 2013-0953, Vol. 4, Nº. Extra 3, 2011 (Ejemplar dedicado a: Special Issue - International Conference on Value Chain Sustainability ICOVACS 2010, Valencia (Spain)), págs. 481-503
  • Idioma: inglés
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  • Resumen
    • 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.


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