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Research on the evaluation of the efficiency of production processes through the implementation of key performance indicators

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper deals with the implementation of key performance indicators (KPI) for the evaluation of the efficiency of production processes. A key performance indicator is a measurable indicator that expresses how effectively the company achieves key goals in both production and non-production areas. As part of the research, various process key performance indicators characterizing product quality were identified. The indicator of the number of faulty products in relation to the volume of production (EXTppm) was chosen for the research. The monthly development of EXTppm in the course of 2022 and the long-term development in the years 2012-2022 were evaluated. The research was also devoted to the analysis of the reasons for not achieving the KPI target values, and measures were proposed to eliminate poor quality, respectively reduction of the number of complained products.
Wydawca
Rocznik
Tom
Strony
404--410
Opis fizyczny
Bibliogr. 26 poz., rys.
Twórcy
  • Technical University in Zvolen Faculty of Technology Studentska 26, 960 01 Zvolen, Slovak Republic
  • Jan Evangelista Purkyně University in Ústí nad Labem Faculty of Mechanical Engineering Pasteurova 3334/7, 400 96 Ústí nad Labem, Czech Republic
autor
  • Technical University in Zvolen Faculty of Technology Studentska 26, 960 01 Zvolen, Slovak Republic
  • Silesian University of Technology Faculty of Materials Engineering Department of Industrial Informatics ul. Krasińskiego 8, 40-019 Katowice, Poland
Bibliografia
  • 1. A. Sujová, Ľ. Simanová, 2021. Improvement of production process capability - a case study of two furniture companies. Engineering management in production and services. 2021, (13), pp. 37-49. ISSN 2543-6597
  • 2. C.F. Lindberg, S. Tan, J. Yan, F. Starfelt, 2015. Key performance indicators improve industrial performance. Energy procedia, 75, pp. 1785-1790.
  • 3. B. Popesko, Š. Papadaki, 2016. Modern management methods cost. Grada Publishing, a.s., Praha, Czech Republic. ISBN 978-80-271-9051-5
  • 4. A. Bumba, M.J. Gomes, C., Lima, M. Rui, 2023. KPI tree - a hierarchical relationship structure of key performance indicators for value streams. Production Engineering Archives, vol.29, no. 2, 3923, pp. 175-185. https://doi.org/10.30657/pea.2023.29.21
  • 5. T. Kornas, E. Knak, R. Daub, U. Bührer, C. Lienemann, H. Heimes, A. Kampker, S. Thiede, C.A. Herrmann, 2019. Multivariate KPI-Based Method for Quality Assurance in Lithium-Ion-Battery Production. Procedia CIRP 2019, 81, pp. 75-80. doi.org/10.1016/j.procir.2019.03.014
  • 6. G. Contini, M. Peruzzini, 2022. Sustainability and Industry 4.0: Definition of a Set of Key Performance Indicators for Manufacturing Companies. Sustainability, 14(17), 11004.
  • 7. ISO 9004:2018 Managing for the sustained success of an organization - A quality management approach
  • 8. I. Setiawan, H.H. Purba, 2020. A Systematic Literature Review of Key Performance Indicators (KPIs) Implementa- tion. Journal of Industrial Engineering & Management Research, 1(3), pp. 200-208.
  • 9. M. Bhatti, H.M. Awan, 2014. The key performance indicators (KPIs) and their impact on overall organizational performance. Quality and Quantity, vol. 48, no. 6, pp. 3127-3143, 2014, doi: 10.1007/s11135-013-9945-y.
  • 10. ISO 9000:2015 Quality management systems - Fundamentals and vocabulary
  • 11. C. Schmidt, W. Li, S. Thiede, B. Kornfeld, S. Kara, C. Herrmann, 2016. Implementing key performance indicators for energy efficiency in manufacturing. Procedia Cirp, 57, pp. 758-763.
  • 12. D. Rodrigues, R. Godina, P.E. da Cruz, 2021. Key performance indicators selection through an analytic network process model for tooling and die industry. Sustainability, 13(24), 13777.
  • 13. B. Ramis Ferrer, U. Muhammad, W.M. Mohammed, J.L. Martínez Lastra, 2018. Implementing and visualizing ISO 22400 key performance indicators for monitoring discrete manufacturing systems. Machines, 6(3), 39.
  • 14. H. Meier, H. Lagemann, F. Morlock, C. Rathmann, 2013. Key Performance Indicators for Assessing the Planning and Delivery of Industrial Services. Proceedings of the Procedia CIRP, Curran, Cranfield, UK, 5 November 2013; Volume 11, pp. 99-104.
  • 15. I. Hristov, A. Chirico, F. Ranalli, 2021. Corporate Strategies Oriented towards Sustainable Governance: Advantages, Managerial Practices and Main Challenges. Journal Management Governance, 2021, pp. 1-23.
  • 16. M. Helmold, B. Terry, 2021. Operations and Supply as Integral Part of the Corporate Strategy. Operations and Supply Management 4.0: Industry Insights, Case Studies and Best Practices; Future of Business and Finance; Springer International Publishing: Cham, Switzerland, 2021; pp. 85-95, ISBN 978-3-030-68696-3.
  • 17. K. Midor, E. Sujová, H. Cierna, D. Zarebinska, W. Kaniak, 2020. Key Performance Indicators (KPIs) as a Tool to Improve Product Quality. New Trends in Production Engineering, 3(1) pp. 347-354. https://doi.org/10.2478/ntpe-2020-0029
  • 18. M.P. Lambán, P. Morella, J. Royo, J.C. Sánchez, 2022. Using industry 4.0 to face the challenges of predictive maintenance: A key performance indicators development in a cyber physical system. Computers & Industrial Engineering, 171, 108400.
  • 19. D.P. Nolan, E.T. Anderson, 2015. OE/SHE Key Performance Indicators (KPIs). Applied Operational Excellence for the Oil, Gas, and Process Industries; D.P. Nolan, E.T. Anderson, Eds.; Gulf Professional Publishing: Houston, TX, USA, 2015; pp. 147-163, ISBN 978-0-12-802788-2.
  • 20. W. Biały, 2020. Improvement of Production System Reliability Using Selected KPIs. Conference Quality Production Improvement - CQPI, 2(1) pp. 204-213. https://doi.org/10.2478/cqpi-2020-0023
  • 21. S. Ferreira, F.J.G. Silva, R.B. Casais, M.T. Pereira, L.P. Ferreira, 2019. KPI Development and Obsolescence Management in Industrial Maintenance. Procedia Manuf. 2019, 38, pp. 1427-1435. doi.org/10.1016/j.promfg.2020.01.145
  • 22. R. Villarejo, C. Johansson, U. Leturiondo, V. Simon, D. Seneviratne, D. Galar, 2017. Bottom to Top Approach for Railway KPI Generation. Management Systems in Production Engineering, 25(3) pp. 191-198. https://doi.org/10.1515/mspe-2017-0028
  • 23. J. Nenadál 2001. Measurement in quality management systems. Management Press, Praha, Czech Republic. ISBN 80-7261-054-6
  • 24. I. Babic, 2023. Implementation of key performance indicators for evaluating the performance of manufacturing processes. Graduated thesis. Technical university in Zvolen, FT-104081-17834.
  • 25. D. Parmenter, 2015. Key Performance Indicators Developing, Implementing, and Using Winning KPIs. Third Edition: Wiley-Blackwell, Hoboken, New Jersey, the United State of America. ISBN 9781118925102. DOI:10.1002/9781119019855
  • 26. D. Parmenter, 2019. Key Performance Indicators. Wiley, United States of America. ISBN 9781119620822.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ed988d6d-9a2b-4d1c-95c7-9747393d94e1
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