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Reliability optimization of tools with increasing failure rates in a flexible manufacturing system

Karimi, B ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1007/s13369-018-3309-9
  3. Publisher: Springer Verlag , 2019
  4. Abstract:
  5. Tool reliability is one of the most important issues in a flexible manufacturing system. If a tool fails to operate correctly, the performance of the manufacturing system is reduced, the due date may be violated, or the product quality falls behind the standards. This paper develops a bi-objective mathematical model for tool selection in a flexible manufacturing system in order to optimize both reliability and cost. The tools in these environments are considered to have increasing failure rates as they are used over time; a case closer to reality. This paper aims to evaluate the availability of different tools used in a production system, in which the reliability of a tool is dependent on the failure occurring to any other compatible tool. Two multi-objective genetic algorithms along with the ε-constraint method are proposed to solve the problem. The Taguchi method is also employed to calibrate the parameters of the proposed algorithms and to enhance their performances. Finally, a hybrid AHP-TOPSIS is utilized to prioritize the solution algorithms. The results indicate that while the ε-constraint is the best to solve small-size problems, the non-dominated rank genetic algorithm performs the best in solving large-size problems
  6. Keywords:
  7. AHP-TOPSIS ; Flexible manufacturing systems ; Increasing failure rate ; Multi-objective optimization ; Tool reliability
  8. Source: Arabian Journal for Science and Engineering ; Volume 44, Issue 3 , 2019 , Pages 2579-2596 ; 2193567X (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s13369-018-3309-9