Determination of Vital Activities in Reliability Program for Multi-State System by Using House of Reliability

Shuki Dror () and Kobi Tsuri ()
Additional contact information
Shuki Dror: Ort Braude College of Engineering
Kobi Tsuri: Ort Braude College of Engineering

Chapter Chapter 11 in Recent Advances in System Reliability, 2012, pp 155-164 from Springer

Abstract: Abstract This paper presents an innovative method that enables a company to determine its vital activities in reliability program for multi-state system (MSS). The method is based on a house of reliability for translating the system’s failure costs into relative importance of corresponding activities listed in the reliability program. A Mean Square Error (MSE) criterion supports the selection of vital reliability program activities. It divides a set of activities in reliability program into two groups: vital few (activities in reliability program for MSS) and trivial many. The partition minimizes the overall MSE and so, delineates two homogeneous groups. A case study is presented to illustrate the application of the developed methodology in a warfare system (a tank). The vital reliability program activities—treatment routine and spare parts storage were found to be the best activities for reducing the costs of the tank’s failures.

Keywords: Multi-state system; Reliability program; House of Reliability; Mean Square Error (search for similar items in EconPapers)
Date: 2012
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:978-1-4471-2207-4_11

Ordering information: This item can be ordered from
http://www.springer.com/9781447122074

DOI: 10.1007/978-1-4471-2207-4_11

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 ().