Simulation modelling of through-life engineering services

Benny Tjahjono, Evandro L. Silva Teixeira, Sadek C. Absi Alfaro

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This paper presents a fundamental online simulation that can be used to support operational decisions related to maintenance scheduling, resource allocation, spare parts inventory etc., within the context of Through-life Engineering Services. As an online system, the simulation model is physically coupled to the assets being maintained. In this way, every time there is a change in the asset condition (i.e. degradation), the simulation model will be automatically run to evaluate a set of operational decisions as a consequence of the degradation. Experimental cases comparing the proposed simulation model against the traditional approach will also be presented. The results showed the role of online simulation in enabling effective operations of engineering services.

Original languageEnglish
Title of host publicationOR55 Keynotes and Extended Abstracts - 55th Conference of the Operational Research Society 2013
Pages124-135
Number of pages12
Publication statusPublished - 22 Nov 2013
Externally publishedYes
Event55th Annual Conference of the Operational Research Society 2013, OR55 - Exeter, United Kingdom
Duration: 3 Sep 20135 Sep 2013

Conference

Conference55th Annual Conference of the Operational Research Society 2013, OR55
CountryUnited Kingdom
CityExeter
Period3/09/135/09/13

Keywords

  • Condition monitoring
  • Maintenance modelling
  • Online simulation

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Strategy and Management
  • Computational Theory and Mathematics
  • Management Science and Operations Research
  • Modelling and Simulation
  • Numerical Analysis

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  • Cite this

    Tjahjono, B., Silva Teixeira, E. L., & Absi Alfaro, S. C. (2013). Simulation modelling of through-life engineering services. In OR55 Keynotes and Extended Abstracts - 55th Conference of the Operational Research Society 2013 (pp. 124-135)