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Manufacturing Complexity Analysis with Fuzzy AHP

Author

Listed:
  • Kouroush Jenab

    (Society of Reliability Engineers - Ottawa, Canada)

  • Sam Khoury

    (East Carolina University, USA)

  • Ahmad R. Sarfaraz

    (California State University, Northridge, USA)

Abstract

Budgeting, resource allocation, and planning in manufacturing systems are important issues that can be managed by complexity measures. Manufacturing processes have several primary areas of complexity that may not be measured precisely due to uncertain situations. Therefore, this study reports a Fuzzy Analytic Hierarchy Process (FAHP) model for evaluating the process complexity that takes into account uncertain situations and manufacturing process technology. The model can rank manufacturing processes based on their relative complexities. An illustrative example for several processes is demonstrated to present the application of the model.

Suggested Citation

  • Kouroush Jenab & Sam Khoury & Ahmad R. Sarfaraz, 2012. "Manufacturing Complexity Analysis with Fuzzy AHP," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 3(2), pages 31-46, April.
    • Handle: RePEc:igg:jsds00:v:3:y:2012:i:2:p:31-46
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    Cited by:

    1. Tuğrul Çavdar & Zhaleh Sadreddini & Erkan Güler, 2018. "Pre-reservation based spectrum allocation for cognitive radio network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(4), pages 723-743, August.

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