A novel method for selecting optimum maintenance strategy using Fuzzy Analytic Network Process and Fuzzy Multi-Choice Programming approach

Maintenance systems are critical to achieving the goals of the organization. The main purpose of these systems is to optimize machinery's ability to maximize production and reduce its erosion and malfunction. Accordingly, one of the main concerns of managers in companies is selecting the appropriate strategy for maintenance of equipment and machinery. This research presents novel method for selecting optimal maintenance strategy based on Fuzzy Analytical Network Process and Fuzzy Multi-Choice Goal Programming. The method of calculating the fuzzy weights of elements is explained by FANP method and then by de-fuzzy obtained weights and writing the ideals and the objective function and applying the FMCGP approach maintenance strategies will be prioritized. Finally, in the form of a case study, the optimal maintenance strategy among Preventive Maintenance, Reliability base maintenance, Condition base maintenance, Time base maintenance, corrective maintenance and Design-out maintenance for the four selected machines in Mashhad Milk Powder Company is considered. In this regard, by literature review six criteria and thirty sub-criteria has been taken and paired comparison questionnaire was distributed among the ten experts and their views were aggregated and geometric mean was taken from them, and by the FANP approach, the weight of the elements are calculated. Since the weight of the criteria is obtained from FANP method, then the general score of the problem is obtained by solving FMCGP. The present research can provide a comprehensive view of decision makers, especially maintenance managers, and assist them in selecting optimal maintenance strategy.