Abstract
In any industrial organization, the management of spare parts is very important because of functional and economic reasons. In order to have a good level of availability of the machine it is necessary to have a stock level of spare parts. On the other hand the efficacy and efficiency of maintenance policies depend on the ability to optimize the management of such supplies. Moreover, stock of spare parts represents for a company an elevated voice of cost, since it means to immobilize capital.
The aim of this work is to determine the optimal spare parts volume so to minimize the operating costs and of the lost production costs for unavailability. The work explores the classification criteria of spare parts by means of opportune Criticality Analysis. According to an appropriate “decision tree”, spare parts are divided in a series of classes corresponding to different management policies, as RCM technique does with failure causes. Applying an algorithm of statistics management and by means of a technical-economic simulation methodology, we determined the optimal spare parts volume considering as key parameters the supply time and the level of service.
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References
CEI 56 — 13, 1999 — 05. Dependability Management, Part 3: Application guide, Section 3: Life Cycle Costing.
Barringer, H.P., 2003, A Life Cycle Cost Summary, International Conference of Maintenance Societies, ICOMS 2003, May 20–23 2003, Perth Australia.
Fabrycky, W.J., Blanchard B.S., 1991, LCC and Economic Analysis, Prenitice Hall, Englewood Cliffs, NJ.
Carpentieri, M., Papariello, M., 2006, A Life Cycle Cost Framework for Automotive production Lines, 13th CIRP International Conference on LCE.
Barringer, H.P., 1998, A LCC and Good Practices, NPRA Maintenance Conference, San Antonio, TX.
Braglia, M., 2003, Gestione magazzino parti di ricambio.
Cardinotti, S., 2005, Implementazione di un sistema di manutenzione programmata e gestione del magazzino parti di ricambio.
Marseguerra, M., Zio, E., Podofillini, L., 2004, Multiobjective spare part allocation by means of genetic algorithms and Monte Carlo simulation, Reliability Eng Syst Saf 2005; 87:325–35.
Cantoni, M., Marseguerra, M., Zio, E., 2000, Genetic algorithms and Monte Carlo simulation for optimal plant design, Reliability Eng Syst Saf 2000; 68:29–38.
Marseguerra, M., Zio, E., Podofillini, L., 2002, Modelling spare parts dynamic by multi-state Monte Carlo simulation Third international Conference on Mathematical Methods in Reliability, MMR2002.
Borgonovo, E., Marseguerra, M., Zio, E., 2000, A Monte Carlo approach to plant availability with maintenance, ageing and obsolescence, Reliability Eng Syst Saf 2000; 67(1):61–74.
Bevilacqua, M., Braglia, M., Gabbrielli, R., 2000, Monte Carlo simulation approach for a modified FMECA in a power plant, Qual. Reliab. Engng. Int. 2000; 16: 313–24.
Andriano, A., 2005, Produzione e logistica, Franco Angeli.
Urbani, A., Beccaris, M., 2004, LicoPro Deliverable 3.5, Validation Case Study: COMAU.
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Carpentieri, M., Guglielmini, A.N., Mangione, F. (2007). A Life Cycle Cost Framework for the management of spare parts. In: Takata, S., Umeda, Y. (eds) Advances in Life Cycle Engineering for Sustainable Manufacturing Businesses. Springer, London. https://doi.org/10.1007/978-1-84628-935-4_82
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DOI: https://doi.org/10.1007/978-1-84628-935-4_82
Publisher Name: Springer, London
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