Loading...

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

Azadeh, A ; Sharif University of Technology | 2007

524 Viewed
  1. Type of Document: Article
  2. Publisher: 2007
  3. Abstract:
  4. This paper 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 the maintenance program in a constant work in process (CONWIP) system. The maintenance activities directly or indirectly affect on production system performance such as response time production costs and etc. so we used the fuzzy simulation to determine the maintenance affects on the system performance. Finally we used the fuzzy simulation result to develop a fuzzy multi attribute decision making (FMADM) model to select the best scenario
  5. Keywords:
  6. Activity duration ; Constant work in process ; Discrete events ; FMADM ; Fuzzy ; Fuzzy parameter ; Fuzzy simulation ; Maintenance activity ; Maintenance programs ; Multi attribute decision making ; Production cost ; Production system ; Real-world system ; Sample data ; Discrete event simulation ; Fuzzy set theory ; Maintenance ; Decision making
  7. Source: Summer Computer Simulation Conference 2007, SCSC 2007, Part of the 2007 Summer Simulation Multiconference, SummerSim 2007, San Diego, CA, 15 July 2007 through 18 July 2007 ; Volume 1 , 2007 , Pages 400-407 ; 9781622763580 (ISBN)
  8. URL: https://dl.acm.org/doi/10.5555/1357910.1357973