Evaluating the efficiency of implementing total productive maintenance

Total Productive Maintenance (TPM) has been widely recognized as a strategic weapon for improving manufacturing performance. This has also been successfully implemented in many organizations. The evaluation of TPM efficiency can assist factories in improving their operations across a variety of dimensions. In particular, it aids factories in monitoring their performance in comparison with other factories. Effective benchmarks of high performance and efficient cluster are identified for improving the factories in the other groups. Here, Data Envelopment Analysis (DEA) is used to evaluate the efficiency score for when the utility function considers its many attributes. A prediction model by the multiple regression method is obtained. This regression equation can be used to obtain the expected efficiency score for checking the performance of implementing TPM. Finally, the proposed methodology can identify a peer group of efficient factories against which to benchmark. The actual improvement process may involve identifying the operating practices and procedures of the benchmark factories and engaging in re-engineering programs.