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Abstrakty
Spare parts forecasting and inventory management is a complex process which is often underestimated by the primary product producers. It differs from the production parts management. Although these two processes do not follow the same guidelines both are connected and exert impact on each other. A crucial issue by the spare parts management is to understand the differences between the two types of parts. The objective of the paper is to present main assumptions of the impact of the primary product standardization on spare parts management, showing its characteristic features and internal conditions influencing the further life of the product. The article describes the analysis of specific factors created during the product design and production processes which can negatively influence spare parts management as well suggested solutions which can help to avoid negative occurrences during the product use.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
53--62
Opis fizyczny
Bibliogr. 16 poz., fig., tab.
Twórcy
autor
- Faculty of Engineering Management, Poznan University of Technology, Poznań, Poland
Bibliografia
- 1. Baud-Lavigne B., Agard P., Penz B., (2012), Mutual impacts of product standardization and supply chain design, Int. J. Production Economics, 135, pp. 50-60.
- 2. Braglia M., Grassi A. & Montanari R., (2004), Multi-attribute classification method for spare parts inventory management, Journal of Quality in Maintenance Engineering, Vol. 10, Iss: 1, pp. 55–65.
- 3. Cox III J.F., Blacksotne Jr J.H. & Spencer M.S., (1995), APICS Dictionary Eighth Edition, APICS, Falls Church.
- 4. Jouni P., Huiskonen J. & Pirttila T., (2011), Improving global spare parts distribution chain performance though part categorization: A case study, Elsevier B.V., pp. 164–171.
- 5. Kumar S., (2005), Spare Parts Management – An IT Automation Perspective, Infosys Technologies Limited, pp. 1–9.
- 6. Kumar U.D., (2000), Spares Parts Provisioning and Management, Reliability, Maintenance and Logistic Support, Kluwer Academic Publishers, pp. 281–344.
- 7. Legnani E., Cavalieri S., Ierace S., (2009), A Framework for the Configuration of Aftersales Service Processes, Production Planning & Control, pp. 113–124.
- 8. Manzini R., Regattrieri A., Pham H. & Ferrari E., (2010), Maintenance for Industrial Systems, Springer, pp. 409–432.
- 9. Marseguerra M., Zio E. & Podofillini L., (2005), Multiobjective spare part allocation by means of genetic algorithms and Monte Carlo simulation, pp. 325–335.
- 10. Ram B., Naghshineh-Pour M.R. & Yu X., (2006), Material requirements planning with flexible bills-of-material, International Journal of Production Research, Vol. 44, No.2, pp. 399–415.
- 11. Sahin M., Kizilastan R. & Demirel Ö.F., (2013), Forecasting Aviation Spare Parts Demand Using Croston Based Methods and Artificial Neural Networks, Journal of Economic and Social Research Vol. 15(2), pp. 1–21.
- 12. Simchi-Levi D. & Zhao Y., (2012), Performance Evaluation of Stochastic Multi-Echelon Inventory Systems: A Survey, Hindawi Publishing Cooperation, pp. 1–33
- 13. Wagner S.M., Jönke R. & Eisingerich A.B., (2012), A Strategic Framework for Spare Parts Logistics, California Management Review, vol. 54, No. 4, pp. 69–92.
- 14. Wagner S.M. & Lindemann E., (2008), A Case Study-Based Analysis of Spare Parts Management in the Engineering Industry, Production Planning & Control 19/4, pp. 397–407.
- 15. http://motofocus.pl/wiadomosci-rynkowe/14747/sprzedaz-nowych-samochodowwnbsppolsce-wnbsp2015nbspr-rekordowy-grudzien.
- 16. http://www.log24.pl/news/2016/1/12/rekordowa-sprzedaz-ciezarowek-w-2015, 6184.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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