Multi criteria Decision model (MCDM) for the evaluation of maintenance practices and Implementation of Total Productive Maintenance(TPM) in Indian Industries

The perceptible impact of Total Productive Maintenance (TPM) lies in raising productivity standards, gaining\ud profitability, and improving the quality besides cutting down the non value added costs greatly. This paper is\ud an attempt to provide a frame work and pragmatic approach in implementation of TPM. A number of novel\ud success factors or practices that are responsible for the decisive role to overture the process are identified.\ud These practices are interchangeably called as sub-attributes. These practices must have evolved from different\ud strategies. The sub-attributes are quantified using least square multi attribute decision model (LSMADM) for\ud three alternatives strategies viz. corrective maintenance, reliability centered maintenance(RCM), and TPM. Any\ud sub-attribute irrespective of its own high or low relative score among the number of sub attributes is evaluated\ud over three alternative strategies. To implement any sub-attribute, an investigation of its highest relative score\ud for given alternatives will guide the managers to opt the best alternative. The best practices must come from\ud different strategies to get most optimal results. The priorities established using LSMADM will act as base line\ud to implement the industrial activities in a more systematic and balanced way to gain far-reaching optimized\ud productivity and quality standards. The higher priority task will be given higher consideration in terms of\ud committing the resources vis a vis less priority task. This will aid in orienting the collective efforts for optimal\ud outcomes