A Mathematical Model for a Flow Shop Scheduling Problem with Fuzzy Processing Times

Authors

  • Jafar Razmi Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
  • Mohammad Saffari Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
  • Reza Tavakoli moghaddam Department of Industrial Engineering, College of Engineering, University of Tehran, Iran
Abstract:

This paper presents a mathematical model for a flow shop scheduling problem consisting of m machine and n jobs with fuzzy processing times that can be estimated as independent stochastic or fuzzy numbers. In the traditional flow shop scheduling problem, the typical objective is to minimize the makespan). However,, two significant criteria for each schedule in stochastic models are: expectable makespan and the probability of minimizing the makespan. These criteria can be considered for fuzzy problems as well. In this paper, we propose a solution for the fuzzy model by the use of fuzzy logic based on developing the model presented by MacCahon [18].

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Journal title

volume Volume 2  issue Issue 3

pages  39- 44

publication date 2010-02-07

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