Integration of simulation and fuzzy multi-attribute decision making for modelling and assessment of fuzzy parameters

Ali Azadeh, Maryam Seifoory and Morteza Abbasi

International Journal of Industrial and Systems Engineering, 2010, vol. 6, issue 4, 483-502

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.

Keywords: reconfigurable manufacturing systems; fuzzy AHP; analytical hierarchy process; production planning; tabu search; stochastic demands; multi-attribute decision making; fuzzy MADM; system performance; decision criteria; fuzzy inputs; fuzzy set theory; fuzzy logic; discrete event simulation; uncertain activity duration; real-world systems; sample data; preventive maintenance; constant work in process; CONWIP. (search for similar items in EconPapers)
Date: 2010
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