Evaluation of Overall Equipment Effectiveness in a Heavy Engineering Industry: A Case Study.

This case study research is conducted to measure the Overall Equipment Effectiveness (OEE) of the heavy engineering industry and compare it with world class standards. The primary and secondary data were needed for the study. Primary data was collected from the production line of case industry and secondary data was obtained from maintenance department of the company (previous six months' data) and the internet resources. The data included planned and unplanned downtime, number of shifts, shift lengths, plant operating times, actual operating time, rework and repairs which were necessary for computation of OEE metrics. Moreover, the data on time between failures and time of repairs was also collected from maintenance department of the company. The data was analyzed in MS excel and Minitab. Availability, performance, quality and overall OEE were calculated as 77.50%, 58.94, 97.42% and 44.5% respectively. Whereas, world class standards are availability (90%), performance (95%), quality (99.90%) and overall OEE (85%). To perform like world class manufacturing systems is far bigger challenge than just running it. This paper provides the guidance for calculating OEE and its comparison with world class standards. Further research can be conducted with OEE and other lean tools in the case industry and other industries. [ABSTRACT FROM AUTHOR]