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

Author

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  • Ali Azadeh
  • Maryam Seifoory
  • Morteza Abbasi

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.

Suggested Citation

  • Ali Azadeh & Maryam Seifoory & Morteza Abbasi, 2010. "Integration of simulation and fuzzy multi-attribute decision making for modelling and assessment of fuzzy parameters," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 6(4), pages 483-502.
    • Handle: RePEc:ids:ijisen:v:6:y:2010:i:4:p:483-502
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