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Six Sigma methodology as a road to intelligent maintenance

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Języki publikacji
EN
Abstrakty
EN
An enterprise which is managed in a modern way should be based on the concept of knowledge management. It is particularly important in the case of processes related to facility maintenance, where the efficiency and effectiveness of work is directly connected with the employees’ knowledge. Improvement of processes involved in facility maintenance has a real influence on the productivity of a manufacturing enterprise. High accessibility of technical equipment and its correct functioning influence not only production efficiency but also the quality of products and the safety of operators. The article is a description of an attempt to implement one of quality engineering methods for improving the facility maintenance process. The author decided to use the 8D method to shorten the duration of downtimes caused by breakdowns. Owing to the conducted analysis and the implementation of the improvement and preventive actions, we were able to shorten the duration of a downtime of a machine having a crucial importance for the company. Investigations and implementation were conducted in one of Silesian production plants.
Rocznik
Tom
Strony
45--48
Opis fizyczny
Bibliogr 13 poz., rys.
Twórcy
  • Institute of Production Engineering, Silesian University of Technology, Roosevelta 26, 41-800 Zabrze, Poland, +48(32)2777350
Bibliografia
  • 1. ANDRÁSSYOVÁ Z., ŽARNOVSKÝ J., ÁLLÓ Š., HRUBEC J. 2013. Seven new quality management tools. Advanced Materials Research. Vol. 801.
  • 2. CARREL A. 2000. Design for Reliability, Maintainability and Supportability. In: Reliability, Maintenance and Logistic Support – A Life Cycle Approach. Dinesh K. U., Crocker J., Knezevic J., EI–Haram M. (eds.). Springer Science+Business Media.
  • 3. DOBROSZ K., MATYSIAK A. 1994. Tworzywa sztuczne. Materiałoznawstwo i przetwórstwo. WSiP.
  • 4. GAJDZIK B., SITKO J. 2016. Steel mill products analysis using qualities methods. Metalurgija. Vol. 55, issue 4, pp. 807-810.
  • 5. ISHIKAWA K. 1986. Guide to Quality Control. Asian Productivity Organization.
  • 6. JAGUSIAK-KOCIK M. 2017. PDCA cycle as a part of continuous improvement in the production company - a case study. Production Engineering Archives. No 14, pp. 19-22.
  • 7. KRAJNC M. 2012. With 8D method to excellent quality. Journal of Universal Excellence. No. 3, pp. 118–129.
  • 8. MIDOR K. 2014. An analysis of the causes of product defects using quality management tools. Management Systems in Production Engineering. No. 4.
  • 9. PAŁUCHA K. 2012. World Class Manufacturing model in production management. International Scientific Journal. Vol. 58, issue 2, pp. 227-234.
  • 10. PINTELON L., SRINIVAS K. P. 2006. Evaluating the Effectiveness of Maintenance Strategies. Journal of Quality in Maintenance. Vol. 12, no. 1, pp. 7‐20.
  • 11. SOKOVIC M., PAVLETIC D., KERN PIPAN K. 2010. Quality Improvement Methodologies – PDCA Cycle, RADAR Matrix, DMAIC and DFSS. Journal of Achievements in Materials and Manufacturing Engineering. Vol 43, issue 1, pp. 476-483.
  • 12. TAGUE N. R. 2005. The Quality Toolbox. ASQ Quality Press.
  • 13. WOLNIAK R., SKOTNICKA–ZASADZIEŃ B. 2011. Metody i narzędzia zarządzania jakością. Teoria i praktyka. Wydawnictwo Politechniki Śląskiej.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a5a5d776-391b-46bc-9712-80cc2b2a608a
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