• Naresh Sharma

Manufacturing tries to minimize waste and improve the overall effectiveness of its equipment (OEE). A manufacturer must use an appropriate decision method while managing machine tool maintenance in order to uncover hidden expenses connected with production losses, effectively minimize equipment downtime, and similarly assess the machines' performance. TPM (total productive maintenance) is a maintenance program that includes ideas for efficiently maintaining plant and equipment. OEE is a strong indicator of manufacturing performance that includes measurements of process, machine, and manufacturing line utilization, yield, and efficiency. It bolsters TPM efforts by keeping track of progress toward "perfect output." This article examines maintenance management methods and how they may be used to make decisions on positional error calibration. The goal of this study is to assess how maintenance techniques, particularly TPM, contribute to increasing manufacturing performance and how they may be used to minimize downtime caused by machine inaccuracy. This is to strike a compromise between predictive calibration, on-machine quality assurance, and lost output owing to inaccuracy. This paper redefines the role of maintenance management methods and provides a framework to assist the process of establishing a predictive calibration program as a primary way for supporting a shift in machine tool calibration decision-making philosophy.

Down Time, Decision Making, Maintenance Strategies, Predictive Calibration, TPM,

"A Review on Total Productive Maintenance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.346-350, November-2018, Available :http://www.jetir.org/papers/JETIRFR06069.pdf

"A Review on Total Productive Maintenance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp346-350, November-2018, Available at : http://www.jetir.org/papers/JETIRFR06069.pdf