Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
