Abstract
Spare parts management involves more complex management than mass production material provisioning, as Sect. 2.3 mentioned. In response to warranty timelines, the number of models and the length of time required to prepare spare parts are substantial, and the service logistics are more complex. More than 40% of service agencies reported that spare parts management is the biggest obstacle to improvement in warranty plans (Callegaro Forecasting Method for Spare Part Demand, University of Padua, 2010). The availability of spare parts is critical to the satisfactory completion of a claim. Many warranty contracts require spare parts to be shipped in conjunction with mass-produced goods and allow buyers to have spare parts readily available in the event of a product failure to reduce warranty service requirements.
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Notes
- 1.
Type of maintenance policies are discussed in Sect. 13.1.
- 2.
In Table 5.1, x is the forcast and d represents the actual demand of spare parts, s refers to the forecast of demand is positive, k is the number of months since the last postive demand, and α and β represent the corresponding smoothing parameters.
- 3.
See Chapter 14 on how intelligent determination to apply in warranty management.
- 4.
References
Bacchetti, A., & Saccani, N. (2012). Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice. Omega, 40, 722–737.
Callegaro, A. (2010). Forecasting method for spare part demand. University of Padua.
Costantino, F., Di Gravio, G., Patriarca, R., Petrella, L. (2017). Spare parts management for irregular demand items. Omega 1–10.
Diallo, C., Aït-Kadi, D., Chelbi, A. (2012). An integrated approach for spare parts provisioning. An International Journal Edited by Hassan II Academy of Science and Technology.
Hemeimat, R., Al-Qatawneh, L., Arafeh, M., Masoud, S. (2016). Forecasting spare parts demand using statistical analysis. American Journal of Operations Research, 6.
Hu, Q., Boylan, J. E., Chen, H., & Labib, A. (2018). OR in spare parts management: A review. European Journal of Operational Research, 266, 395–414.
Kontrec, N., & Panić, S. (2017). Spare parts forecasting based on reliability, INTECH.
Mathias Maegaard Mikalsen. (2015). Managing the demand of spare parts. Implement Consulting Group.
Piotr Kozik, J. (2012). Aircraft engine overhaul demand forecasting using ANN. Management and Production Engineering Review, 3(2).
Romeijnders, W., Teunter, R., & van Jaarsveld, W. (2012). A two-step method for forecasting spare parts demand using information on component repairs. European Journal of Operational Research, 220, 386–393.
Rosienkiewicz, M. (2013). Artificial intelligence methods in spare parts demand forecasting. Logistics and Transport, 2(18), 41–50.
Syntetos, A. A., Boylan, J. E., & Croston, J. D. (2005). On the categorization of demand patterns. Journal of the Operational Research Society, 56, 495–503.
Teixeira, C., Lopes, I., & Figueiredo, M. (2017). Multi-criteria classification for spare parts management: a case study, in 27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM, vol. 11, pp. 1560–1567.
Valeriana Lukitosari, S., Nyoman Pujawan, I., & Widodo, B. (2019), Inventory strategy for spare parts redundancy to support server operations during production processes. Production & Manufacturing Research, 7(1), 395–411.
Van der Auweraer, S., & Boute, R. N. (2019). Forecasting spare part demand using service maintenance information. International Journal of Production Economics.
Wagner, S. M., Jönke, R., & Eisingerich, A. B. (2012). A strategic framework for spare parts logistics. California Management Review-Summer., 54(4), 69–92.
Wisam AL-Dulaime, Walid M. Emar,. (2019). Analysis of inventory management of laptops spare parts by using XYZ techniques and EOQ model—A case study. International Journal of Scientific & Technology Research, 8(10), 3766–3774.
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Liao, A. (2022). Spare Parts Management. In: Warranty Chain Management. Management for Professionals. Springer, Singapore. https://doi.org/10.1007/978-981-19-2104-9_5
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