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The inherent aspect of assessing the effectiveness of improvement activities in enterprises is building a system for measuring performance, hence using a variety of measures and indicators. These measures are used to evaluate key activities carried out in various functional areas of the company and indicate their effectiveness in relation to the objectives of the organization. One of the measures most widely used in enterprises assessment of the efficiency of the maintenance, production and logistics is the efficiency of production equipment - OEE. The literature on OEE indicates the spectrum of its applications. It is used both as a operational efficiency measurement as well as a guide for managers for building internal cooperation between maintenance, production and logistics as well as initiating actions to increase the effective use of management at the disposal of production equipment. The purpose of this article is to show the possibilities of improving efficiency of production equipment working in the painting facility. Article consists of five chapters. The second chapter on the basis of the literature points indicators of efficiency used in enterprises concerning its equipment. The third chapter describes the production line, the analysis of OEE and defines the main problems. Section four – improvement actions and assessment of their impact on the value of the OEE. The fifth chapter is a summary and conclusions.
Słowa kluczowe
Czasopismo
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Tom
Strony
445--457
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
autor
- Faculty of Engineering Management, Poznan University of Technology, Poznan, 60-965, Poland
autor
- Faculty of Engineering Management, Poznan University of Technology, Poznan, 60-965, Poland
autor
- WSB School of Banking, Poznan, 61-874, Poland
Bibliografia
- 1. Anvari F., Edwards R., Starr A., (2010), Evaluation of overall equipment effectiveness based on market, Journal of Quality in Maintenance Engineering, Vol. 16 No. 3, pp. 256-70
- 2. Badiger A.S. Gandhinathan R., (2008), A proposal: evaluation of OEE and impact of six big losses on equipment earning capacity, International Journal Process Management and Benchmarking, Vol. 2 (3)
- 3. Bamber C., Castka J., Sharp P., Motara Y., (2003), Cross-functional team working for overall equipment effectiveness, Journal of Quality in Maintenance Engineering, Vol. 9, No. 3, pp.223-239
- 4. Braglia M., Frosolini M., Zammori F., (2009), Overall equipment effectiveness of a manufacturing line (OEEML) An integrated approach to assess systems performance, Journal of Manufacturing Technology Management, Vol. 20 (1), pp. 8-29
- 5. de Ron A.J. Rooda J.E., (2005), Equipment effectiveness: OEE revisited, IEEE Transaction on Semiconductor Manufacturing, Vol. 18 (1), pp. 190-196
- 6. Huang S.H., Dismukes J.P. Shi J., Su Q., Razzak M.A., Bodhale R., Robinson D.E., (2003), Manufacturing Productivity Improvement Using Effectiveness Metrics and Simulation Analysis, International Journal of Production Research, Vol. 41, No. 3
- 7. Jasiulewicz-Kaczmarek M., (2011), Maintenance performance - overall equipment effectiveness, Lewandowski J., Jałmużna I., Sekieta M., Improvement of production processes, A series of monographs, Lodz: 71-91
- 8. Muthiah K.M.N., Huang S.H., Mahadevan, S., (2008), Automating factory performance diagnostics using overall throughput effectiveness (OTE) metric, International Journal of Advanced Manufacturing Technology, Vol. 36, pp. 811-24
- 9. Nachiappan, R.M. Anantharaman, N., (2006), Evaluation of overall line effectiveness (OLE) in a continuous product line manufacturing system, Journal of Manufacturing Technology Management, Vol. 17 (7), pp. 987-1008
- 10. Nakajima S., (1988), An Introduction to TPM, Productivity Press, Portland, OR.
- 11. Szwedzka K., Przyszłość należy do walców poliuretanowych, Meblarstwo 2014/2
- 12. Szwedzka K., Lubiński P., Jasiulewicz-Kaczmarek M., (2014), Redukcja czasu przezbrojeń metodą SMED - studium przypadku, Logistyka 6, pp. 14816—14825
- 13. Wang, T.Y. Pan, H.C. (2011), Improying the OEE and UPH data quality by Automated Data Collection for the semiconductor assembly industry. Expert Systems with Applications 38, pp. 5764-5773
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d0718469-21b4-4aaf-8d93-1031ab501699