Manufacturing Complexity Analysis with Fuzzy AHP

Kouroush Jenab, Sam Khoury and Ahmad R. Sarfaraz
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Kouroush Jenab: Society of Reliability Engineers - Ottawa, Canada
Sam Khoury: East Carolina University, USA
Ahmad R. Sarfaraz: California State University, Northridge, USA

International Journal of Strategic Decision Sciences (IJSDS), 2012, vol. 3, issue 2, 31-46

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.

Date: 2012
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