An Integrated Simulation-Fuzzy Model for Preventive Maintenance Optimisation in Multi-Product Production Firms

Ali Davari, Maliheh Ganji, Seyed Mojtaba Sajadi

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Entrepreneurs’ need to manufacture quality products at a reasonable cost with the goal of enhancing their competitive edge in the market has led to an increase in the development and use of preventive maintenance (PM) systems. Consequently, PM is now recognized as one of the most effective solutions for reducing equipment failure frequency. This paper proposes a hybrid simulation-fuzzy model to address the PM planning problem. First, PM activities are simulated using the Arena software. Then, the periodic maintenance schedule of each machine and (s, S) values of process analysis are defined and simulation outputs are obtained. With the simulation and analysis results as input, the GAMS software is used to evaluate the suitability of numerous DEA models for the purpose of assessing the scenarios. The software computes the efficiency score of each scenario by applying the CCR ratio model on the inputs and selects the most efficient scenario.
Original languageEnglish
Pages (from-to)374-391
Number of pages18
JournalJournal of Simulation
Volume16
Issue number4
Early online date6 Sept 2020
DOIs
Publication statusPublished - 2022
Externally publishedYes

Keywords

  • Storage
  • Preventive maintenance
  • simulation based optimisation
  • Data envelopment analysis
  • Serial production system
  • data envelopment analysis
  • preventive maintenance
  • serial production system
  • simulation-based optimisation

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation

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