Age Replacement Models with Random Works

Xufeng Zhao () and Toshio Nakagawa
Additional contact information
Xufeng Zhao: Qatar University
Toshio Nakagawa: Aichi Institute of Technology

A chapter in Quality and Reliability Management and Its Applications, 2016, pp 227-248 from Springer

Abstract: Abstract This chapter gives four age replacement models for an operating unit when it works successively for jobs with random working cycles: (1) The unit is replaced at a total operating time T; (2) the unit is replaced at a total operating time T or at a random working cycle Y, whichever occurs first; (3) the unit is replaced at a total operating time T or at a random working cycle Y, whichever occurs last; and (4) the unit is replaced at the first completion of some working cycles over a planned time T. As a particular case of (2)–(4), random replacement, where the unit is replaced only at a random working cycle Y, is considered. Optimal policies for each model are discussed analytically, and Polices (2)–(4) are compared with (1) from the viewpoint of cost rate to find that Policy (1) is the best when preventive replacement costs are the same. However, random replacement and Policy (4) should be better than standard policy when a lower random replacement cost is supposed.

Keywords: Age replacement; Random replacement; Replacement first; Replacement last; Replacement overtime; Working time (search for similar items in EconPapers)
Date: 2016
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:978-1-4471-6778-5_8

Ordering information: This item can be ordered from
http://www.springer.com/9781447167785

DOI: 10.1007/978-1-4471-6778-5_8

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 ().