Generalized Stochastic Petri-Net Algorithm with Fuzzy Parameters to Evaluate Infrastructure Asset Management Policy

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

Abstract

Infrastructure asset owners develop strategies to maximize asset availability and minimize economic losses due to the failure of critical assets. Infrastructure asset management policy involves the strategic development of inspection, repair and renewal plans. The policy evaluation support decision-makers in assessing its impact on the reliability of the assets. This paper attempts to show the procedure to evaluate these policies through Generalized Stochastic Petri-Net with fuzzy parameters. The stochasticity allows representation of randomness in a system and fuzziness support incorporation of uncertain information from experts. It can be used periodically to estimate the type and number of actions required to maintain assets in good operating condition over the planning horizon. The methodology is demonstrated on the evaluation of maintenance policy of supplementary drive and slide chair in railway switches & crossing.

Bibliographical metadata

Original languageEnglish
Title of host publicationIEEE Xplore
Publication statusAccepted/In press - 20 Mar 2020
EventIEEE International Conference on Fuzzy Systems, IEEE World Congress on Computational Intelligence - Glasgow, United Kingdom
Event duration: 19 Jul 202024 Jul 2020
https://wcci2020.org/

Conference

ConferenceIEEE International Conference on Fuzzy Systems, IEEE World Congress on Computational Intelligence
Abbreviated titleFUZZ-IEEE 2020
CountryUnited Kingdom
CityGlasgow
Period19/07/2024/07/20
Internet address