Integration of simulation and fuzzy multi-attribute decision making for modelling and assessment of fuzzy parameters
by Ali Azadeh, Maryam Seifoory, Morteza Abbasi
International Journal of Industrial and Systems Engineering (IJISE), Vol. 6, No. 4, 2010

Abstract: This article introduces a methodology to integrate fuzzy multi-attribute decision making (FMADM) and fuzzy simulation. According to this method, a fuzzy simulation method is applied to study the effect of different alternative on system's performance and decision criteria taking into account fuzzy inputs. Using a fuzzy analytical hierarchy process (FAHP) and the results of fuzzy simulation, a FMADM is conducted to select the best alternative. This article introduces how to incorporate fuzzy set theory with discrete-event simulation in order to model uncertain activity duration in simulating a real-world system, especially when insufficient or no sample data are available. A case study is developed to apply this method to select a scenario to implement preventive maintenance program in a constant work in process (CONWIP) system.

Online publication date: Wed, 13-Oct-2010

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