A study of availability-based warranty policy

Chun Su, Xiaolin Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

This paper proposes an availability-based warranty policy for complex industrial equipments. Under this policy, the manufacturer will not only provide free repairs or replacements upon failures, but also ensure that the operational availability over the warranty period meets a negotiated level. Within the warranty period, imperfect preventive maintenance (PM) activities are performed to reduce equipment's failures. Moreover, two types of learning effects on maintenance activities, namely, 'repetition learning' and 'failure learning', are considered simultaneously. The PM schedule is optimized cycle by cycle. Within each PM cycle, the optimal PM interval is determined by minimizing the warranty cost rate over the current cycle with an availability constraint. Numerical examples are provided to illustrate the proposed warranty policy.

Original languageEnglish
Title of host publication2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
PublisherIEEE Computer Society
Pages1655-1659
Number of pages5
ISBN (Electronic)9781509036653
DOIs
Publication statusPublished - 27 Dec 2016
Externally publishedYes
Event2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, Indonesia
Duration: 4 Dec 20167 Dec 2016

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2016-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
CountryIndonesia
CityBali
Period4/12/167/12/16

Keywords

  • Availability-based warranty
  • learning effects
  • preventive maintenance

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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