Title: Integration of simulation and fuzzy multi-attribute decision making for modelling and assessment of fuzzy parameters
Author: Ali Azadeh, Maryam Seifoory, Morteza Abbasi
Department of Industrial Engineering, Center of Excellence for Intelligent Experimental Mechanics, College of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran.
Department of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran.
Department of Industrial Engineering, Sharif University of Technology, P.O. Box 11155-9414, Azadi Road, Tehran, Iran
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.
Int. J. of Industrial and Systems Engineering, 2010 Vol.6, No.4, pp.483 - 502
Available online: 13 Oct 2010