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Evaluating manufacturing systems by fuzzy ANP: a case study

Author

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  • Ehsan Pourjavad
  • Hadi Shirouyehzad

Abstract

In today's competitive environment evaluating firms' performance correctly, is an important issue not only for investors and creditors but also for the companies that are in the same sector. Therefore, developing an integrated performance measurement model is important for strategy management. The main purpose of this study is to propose a new approach to evaluate manufacturing systems. In this paper, according to various criteria, comparing manufacturing sections and assessing them in the best and the worst are identified. In this paper a fuzzy ANP approach has been employed to compare manufacturing systems, considering interdependence of these criteria and distinct information, fuzzy approach are employed for paired comparison. This approach has been employed to evaluate parallel manufacturing lines in Chadormalu Mining-Industrial Company. Manufacturing lines are compared in a variety of points of view and disciplines as quality, product, maintenance and cost criteria; also 16 sub-criteria are considered as well.

Suggested Citation

  • Ehsan Pourjavad & Hadi Shirouyehzad, 2014. "Evaluating manufacturing systems by fuzzy ANP: a case study," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 6(1), pages 65-83.
    • Handle: RePEc:ids:injams:v:6:y:2014:i:1:p:65-83
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    Cited by:

    1. Ehsan Pourjavad & Arash Shahin, 2018. "Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 25(3), pages 134-147, July.
    2. Chin-Tsai Lin & Cheng-Yu Chiang, 2020. "Developing and Applying a Selection Model for Corrugated Box Precision Printing Machine Suppliers," Mathematics, MDPI, vol. 9(1), pages 1-20, December.

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