Integration of simulation and fuzzy multi-attribute decision making for modelling and assessment of fuzzy parameters. (17th October 2010)

• Record Type: Journal Article
• Authors: Azadeh, Ali; Seifoory, Maryam; Abbasi, Morteza
• Is Part Of: International journal of industrial and systems engineering. Volume 6:Number 4(2010)
• Page Start: 483
• Page End: 502
• Publication Date: 2010-10-17
• Subjects: 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; Systems engineering -- Periodicals; Industrial engineering -- Periodicals; 620.001171
• Languages: English
• ISSNs: 1748-5037

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.