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An integrated approach to machine selection problem using fuzzy SMART-fuzzy weighted axiomatic design

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  • Süleyman Çakır

    (Recep Tayyip Erdogan University)

Abstract

In respond to new market requirements and competitive positioning of manufacturing companies selecting optimal machines that are consistent with manufacturing goals is of crucial importance. As it involves multiple conflicting criteria and inherent ambiguity and vagueness, election of a suitable machine can be regarded as a fuzzy multi-criteria decision making problem. In this study, for the first time in the literature, an integrated approach consisting of fuzzy simple multiattribute rating technique (SMART) approach and fuzzy weighted axiomatic design (FWAD) approach is proposed to determining the optimal continuous fluid bed tea dryer for a privately owned tea plant operating in Turkey. The weights of the evaluation criteria are calculated via fuzzy SMART and then FWAD is utilized to rank competing machine alternatives in terms of their overall performance. In the FWAD application phase, five experts have determined functional requirements (FRs) and have rated alternatives. Therefore, individual fuzzy opinions were required to be aggregated in order to set up a group consensus. A group decision analysis, referred to as the least squares distance method is used to aggregating the ratings of FRs and alternatives. It is concluded that the proposed hybrid methodology is a robust decision support tool for ranking machine alternatives under fuzzy environment and furthermore, it can be exploited for other fuzzy decision making problems, as well.

Suggested Citation

  • Süleyman Çakır, 2018. "An integrated approach to machine selection problem using fuzzy SMART-fuzzy weighted axiomatic design," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1433-1445, October.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:7:d:10.1007_s10845-015-1189-3
    DOI: 10.1007/s10845-015-1189-3
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    References listed on IDEAS

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    1. Kulak, Osman & Kahraman, Cengiz, 2005. "Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach," International Journal of Production Economics, Elsevier, vol. 95(3), pages 415-424, March.
    2. Edwards, Ward & Barron, F. Hutton, 1994. "SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement," Organizational Behavior and Human Decision Processes, Elsevier, vol. 60(3), pages 306-325, December.
    3. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    4. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    5. Yao, Jing-Shing & Chiang, Jershan, 2003. "Inventory without backorder with fuzzy total cost and fuzzy storing cost defuzzified by centroid and signed distance," European Journal of Operational Research, Elsevier, vol. 148(2), pages 401-409, July.
    6. Karsak, E. Ertugrul & Kuzgunkaya, Onur, 2002. "A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system," International Journal of Production Economics, Elsevier, vol. 79(2), pages 101-111, September.
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