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An integrated fuzzy AHP-fuzzy TOPSIS approach for AS/RS selection

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  • Hande ErdoÄŸan Aktan
  • Ömür Tosun

Abstract

System investment decision has a very crucial role in any company aiming for efficient manufacturing. Multi-criteria decision making process is required to select the best among the alternatives. In this study, fuzzy AHP and fuzzy TOPSIS methods are used in a two-step methodology to select the suitable automated storage and retrieval system (AS/RS) so as to satisfy the expectations of the company. Eleven criteria are used in fuzzy AHP to calculate the criteria weights. These weights are then used in fuzzy TOPSIS to rank three AS/RS alternatives. The proposed model is used for selecting the right AS/RS in one of the leading consumer electronics company of Turkey.

Suggested Citation

  • Hande ErdoÄŸan Aktan & Ömür Tosun, 2013. "An integrated fuzzy AHP-fuzzy TOPSIS approach for AS/RS selection," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 11(2), pages 228-245.
    • Handle: RePEc:ids:ijpqma:v:11:y:2013:i:2:p:228-245
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    Cited by:

    1. Mohamed Hanine & Omar Boutkhoum & Abderrafie El Maknissi & Abdessadek Tikniouine & Tarik Agouti, 2016. "Decision making under uncertainty using PEES–fuzzy AHP–fuzzy TOPSIS methodology for landfill location selection," Environment Systems and Decisions, Springer, vol. 36(4), pages 351-367, December.
    2. V. G. Venkatesh & Abraham Zhang & Eric Deakins & Sunil Luthra & S. Mangla, 2019. "A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains," Annals of Operations Research, Springer, vol. 283(1), pages 1517-1550, December.

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