Methodology of Shipboard Spare Parts Requirements Based on Whole Part Repair Strategy

Houxiang Wang, Haitao Liu (), Songshi Shao and Zhihua Zhang
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Houxiang Wang: Department of Basic Courses, Naval University of the Engineering, Wuhan 430033, China
Haitao Liu: Department of Basic Courses, Naval University of the Engineering, Wuhan 430033, China
Songshi Shao: College of Naval Architecture and Ocean Engineering, Naval University of the Engineering, Wuhan 430033, China
Zhihua Zhang: College of Naval Architecture and Ocean Engineering, Naval University of the Engineering, Wuhan 430033, China

Mathematics, 2024, vol. 12, issue 19, 1-25

Abstract: This paper introduces an assessment method for shipboard spare parts requirements based on a whole-part repair strategy, aimed at enhancing the availability and combat effectiveness of naval equipment. Addressing the shortcomings of traditional repair strategies, this study innovatively adopts a whole-part rotation repair approach to reduce repair times and improve the rapid response capability of equipment. An evaluation model for support probability and fill rate is established, and Monte Carlo simulation techniques are applied to simulate the impact of different maintenance strategies on spare parts demand and equipment availability. This study also conducts a sensitivity analysis of key parameters, including Mean Time Between Failures (MTBF), repair demand probability, and faulty part repair cycle, to assess their influence on spare parts requirements and equipment availability. The results indicate that the whole-part repair strategy can effectively reduce spare parts demand and enhance equipment availability. In conclusion, the whole-part repair strategy demonstrates a distinct advantage in shipboard spare parts management, optimizing inventory management while ensuring combat readiness. This research provides a novel analytical approach for naval logistics and maintenance planning.

Keywords: ship spare parts; repair strategy; support probability; fill rate; equipment availability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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