The article presents a case study of the identification and analysis of operating and equipment losses in a steel plant. Losses may be visible in costs resulting from premature wear of machine and equipment components, removal of emergency failures related to quality losses, including loss of reputation of a reliable supplier, as well as losses related to production, especially in the case of continuous production. The analysis of losses was based on the cost criterion, including losses resulting from the loss of a potential client. The real data from the 2016 were used in the case study. In order to ensure proper operation at the finishing department, standard solutions have been developed. The analysis of losses was based on the Pareto principle and the analysis of TPM coefficients.
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Hooi L. W., Leong, T. Y. 2017. Total productive maintenance and manufacturing performance improvement, Journal Of Quality In Maintenance Engineering, Volume 23(1), 2-21. DOI: 10.1108/JQME-07-2015-0033
Kardas E. 2017. The evaluation of efficiency of the use of machine working, Management Systems in Production Engineering, Volume 25(4), 242-245. DOI 10.1515/mspe-2017-0034.
Ng T. C., Yang T. X., Yew M. C., Saw L. H., Yew M. K., Chen K. P. 2017. A review on lean maintenance through various implementations of total productive maintenance models, International Journal of Advanced and Applied Sciences, Volume 4(9), 174-179. DOI: 10.21833/ijaas.2017.09.025.
Niwas R., Kadyan M. S., Kumar J. 2016. MTSF (mean time to system failure) and profit analysis of a single-unit system with inspection for feasibility of repair beyond warranty, International Journal of System Assurance Engineering and Management, Volume 7(1), 198-204. DOI: 10.1007/s13198-015-0362-6.
Palchun YU. A., Yelistratova I. B. 2014. Assessment of Mean Time Between Failures of Metrological Support and Control of Production, 12th International Conference On Actual Problems Of Electronics Instrument Engineering (APEIE), 184-186.
Zhou D., Lv C., Li Y., Guo Z. 2014. A System’s Mean Time To Repair Allocation Method Based on the Time Factors, Quality and Reliability Engineering International, Volume 30(2), 247-256. DOI: 10.1002/qre.1493.