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Optimisation of perfect preventive maintenance and component replacement schedules (PPMCRS) using SPEA2

  • Khalid Samara
  • , Anthony O. Ikechukwu
  • , Shawulu H. Nggada
  • , Jose G. Quenum
  • Namibia University of Science and Technology
  • Higher Colleges of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As the proliferation in processes and technological options increases, the complexity of designing safety-critical systems may pose challenges to meeting the requirements to ensure that these systems are dependable. The number of the failures occurring can be minimized through preventive maintenance and replacement (PMR). Although different components have different PM times (aT), each preventive maintenance (PM) interval T, reduces the effective age of a component of the system. The degree of age reduction is hinged upon the effectiveness of PM and the coefficient of maintenance interval (CoMI). The Perfect Preventive Maintenance (PPM) policy renews the component being maintained is adopted in this paper. This paper investigates the effects of component replacement on component and system level reliability, and optimising PPM schedules taking into account component replacement as an improvement parameter on system's unavailability.
Original languageEnglish
Title of host publication2019 Sixth HCT Information Technology Trends (ITT)
Place of PublicationRas Al Khaimah, United Arab Emirates
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume1324
Edition2019 Sixth HCT Information Technology Trends (ITT)
ISBN (Electronic)9781728150611
DOIs
Publication statusPublished - 23 Apr 2020
Event2019 Sixth HCT Information Technology Trends (ITT) - Ras Al Khaimah, United Arab Emirates
Duration: 23 Apr 2020 → …

Conference

Conference2019 Sixth HCT Information Technology Trends (ITT)
CityRas Al Khaimah, United Arab Emirates
Period23/04/20 → …
Other2019 Sixth HCT Information Technology Trends (ITT) (Ras Al Khaimah, United Arab Emirates)

Keywords

  • Reliability
  • failure analysis
  • optimisation
  • preventive maintenance
  • scheduling

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