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

Azadeh, A ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1504/IJISE.2010.036029
  3. Publisher: 2010
  4. Abstract:
  5. This article introduces a methodology to integrate fuzzy multiattribute 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 realworld 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
  6. Keywords:
  7. Activity duration ; Constant work in process ; Fuzzy analytical hierarchy process ; Fuzzy input ; Fuzzy parameter ; Fuzzy simulation ; Multi attribute decision making ; Production Planning ; Real-world system ; Reconfigurable manufacturing system ; Sample data ; Stochastic demand ; System's performance ; Computer aided manufacturing ; Computer simulation ; Decision making ; Fuzzy logic ; Fuzzy sets ; Planning ; Preventive maintenance ; Production control ; Production engineering ; Project management ; Stochastic systems ; Tabu search ; Uncertainty analysis ; Fuzzy set theory
  8. Source: International Journal of Industrial and Systems Engineering ; Volume 6, Issue 4 , 2010 , Pages 483-502 ; 17485037 (ISSN)
  9. URL: http://www.inderscienceonline.com/doi/abs/10.1504/IJISE.2010.036029