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Cost adjustment for single item pooling models using a dynamic failure rate: A calculation for the aircraft industry

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  • Fritzsche, R.

Abstract

This paper presents an analytical model for cost estimation in a single-item, multi-hub (S-1,S) inventory policy-pooling model for high-value spare parts in the aviation industry. The model extends existing, static pooling models by implementing a dynamic failure rate, using a maintenance free operating period (MFOP) as a measurement technique to increase availability of aircraft components. The gained results through a dynamic failure rate show significant effects for a reduction of total costs of ownership and achieving a better operational stock planning, which is demonstrated in a numerical application.

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  • Fritzsche, R., 2012. "Cost adjustment for single item pooling models using a dynamic failure rate: A calculation for the aircraft industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1065-1079.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:6:p:1065-1079
    DOI: 10.1016/j.tre.2012.04.003
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    Cited by:

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    2. Regattieri, A. & Giazzi, A. & Gamberi, M. & Gamberini, R., 2015. "An innovative method to optimize the maintenance policies in an aircraft: General framework and case study," Journal of Air Transport Management, Elsevier, vol. 44, pages 8-20.
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    4. Wang, Wenbin & Yue, Shuai, 2015. "An inventory pooling model for spare units of critical systems that serve multi-companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 34-44.

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