Enhancing productivity of the preventive and maintenance systems via employing Simulation and MCDM approaches

The enterprises and companies around the world are in fierce competition. This condition imposes a high pressure on companies to optimize activities, enhance products’ quality, efficiency, security, accessibility and reliability of the facilities, and diminish risk, cost, and similar cases. There are a lot of variables that influence such cases and preventive and maintenance (PM) programming is one of those variables. In the present research, the evaluation and comparison of four methods of prevention, maintenance, and selection of the optimization policy of prevention and maintenance in uncertainly condition, via using Multi-Criteria Decision Making (MCDM) approach, will be carried out. In order to display the selection process, production line of poultry as a case study was employed and normal distribution of every activity was estimated on the bases of a set of data, through Input Analyzer software. To evaluate the suitability three criteria of standard Error, Chi-square test, Kolmogorov-Smirnov were used. Environmental conditions and system behavior were simulated via employing Arena simulation model, then the most suitable strategy of prevention and maintenance was employed based on a set of data

Enhancing productivity of the preventive and maintenance systems via employing Simulation and MCDM approaches Keywords:

Preventive and Maintenance strategies (PMS) , Multi-Criteria Decision Making (MCDM) , simulation