EconPapers    
Economics at your fingertips  
 

Reliability Analysis for Inventory Management for Repair Parts Based on Imperfect Data

Si-Il Sung ()
Additional contact information
Si-Il Sung: Kyonggi University

A chapter in Analytics Modeling in Reliability and Machine Learning and Its Applications, 2025, pp 1-11 from Springer

Abstract: Abstract This chapter focuses on the appropriate inventory management of repair parts to increase the operational availability of production equipment. In practice, many small and medium-sized companies in South Korea face limitations in establishing an appropriate database for the maintenance. To address this issue, this chapter introduces a simple approach that utilizes purchase history records based on Monte-Carlo simulation. By using purchase history records, it is possible to generate a much larger amount of failure information than what is available from imperfect maintenance records, which can then be used to help the inventory management.

Keywords: Reliability centered maintenance; Reliability analysis; Purchase record; Inventory management (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-72636-1_1

Ordering information: This item can be ordered from
http://www.springer.com/9783031726361

DOI: 10.1007/978-3-031-72636-1_1

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:ssrchp:978-3-031-72636-1_1