Simulation based plant maintenance planning with multiple maintenance policy and evaluation of production process dependability

Evgeny Malamura, Tomohiro Murata

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

4 Citations (Scopus)

Abstract

In this paper we propose a simulation model combining two processes of different origin (the production process and the information flow of maintenance work-orders) in one model in order to investigate how the interaction between the processes affect the performance of the production system, as well as to define the optimization opportunities. The proposed approach aims to extend the capabilities of the conventional reliability analysis techniques by focusing on dynamic aspects of the production system and to present a method for representation of technical, operational, maintenance, organizational and economic aspects by simulation modeling concepts.

Original languageEnglish
Title of host publicationInternational MultiConference of Engineers and Computer Scientists, IMECS 2012
PublisherNewswood Limited
Pages1312-1317
Number of pages6
ISBN (Print)9789881925190
Publication statusPublished - 2012 Jan 1
Event2012 International MultiConference of Engineers and Computer Scientists, IMECS 2012 - Kowloon, Hong Kong
Duration: 2012 Mar 142012 Mar 16

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2196
ISSN (Print)2078-0958

Other

Other2012 International MultiConference of Engineers and Computer Scientists, IMECS 2012
CountryHong Kong
CityKowloon
Period12/3/1412/3/16

Keywords

  • Plant Maintenance
  • Production process dependability
  • Simulation

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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  • Cite this

    Malamura, E., & Murata, T. (2012). Simulation based plant maintenance planning with multiple maintenance policy and evaluation of production process dependability. In International MultiConference of Engineers and Computer Scientists, IMECS 2012 (pp. 1312-1317). (Lecture Notes in Engineering and Computer Science; Vol. 2196). Newswood Limited.