STUDY ON IMPLEMENTATION OF SUCCESSFUL MAINTENANCE SYSTEM

Abstract

In twenty-first century, the global manufacturing industry is becoming more competitive not only in India but also across worldwide. The global competition characterized by both technology push and market pull had forced companies so as to achieve performance by continuously improving both products and processes. To maintain the position in the global market, organization has to fulfill their commitment with consumers which they can achieve by proper maintenance of machines. Manufacturing organizations are using indigenous development of technology by incorporating concepts of lean manufacturing, total productive maintenance (TPM) and low cost automation techniques to increase their competitiveness. This new approach helps the company to reduce cost of manufacturing and to increase the productivity by reducing cycle time, waste and down time. However, using new heavy machinery in place of old point towards high cost will decreasing graph of turnover. So organizations need to find new way to survive by using the existing recourses to gain maximum profit. TPM is one of the interesting alternatives as it can deliver competitive advantages such as less error, more flexibility, encourage innovations, reduction in cycle time, reduction in accident, cost effectiveness. Quality and maintenance of manufacturing systems are closely related functions of any organization. Over a period of time two concepts have emerged which is total productive maintenance (TPM) and total quality management (TQM) along with other concepts to achieve world class manufacturing system. Aim of this research is to identify and prioritize the solutions of maintenance management (MM) to overcome its barriers. It helps organizations to concentrate on high rank solutions and develop strategies to implement them on priority. This research proposes a framework based on fuzzy analytic hierarchy process (FAHP) and fuzzy technique to order performance from similarity to ideal solution (TOPSIS) to identify and rank the solutions of Total Productive Maintenance (TPM) and overcome its barriers. The fuzzy AHP is used to determine weights of the barriers, and fuzzy TOPSIS method is used to obtain final ranking of the solutions of maintenance management (MM).This proposed framework provides a more accurate, effective and systematic decision support tool for stepwise implementation of the solutions of maintenance management to increase its productivity with reduction in accidents & breakdowns.