Skip to main content

Simulation-based Multi-Criteria Evaluation of Cost-Risk-Effectiveness in Prognostic Maintenance Operations: A Case Study from Railway Industry

Dinmohammadi, Fateme, Alkali, Babakalli, Shafiee, Mahmood, Saati, Saber, Labib, Ashraf (2020) Simulation-based Multi-Criteria Evaluation of Cost-Risk-Effectiveness in Prognostic Maintenance Operations: A Case Study from Railway Industry. In: Baraldi, Piero and Di Maio, Francesco and Zio, Enrico, eds. Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference. . pp. 4477-4484. Research Publishing, Singapore ISBN 978-981-1485-93-0. (doi:10.3850/978-981-14-8593-0) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:87336)

PDF Publisher pdf
Language: English

Restricted to Repository staff only
Contact us about this Publication
[thumbnail of 4215.pdf]
Official URL
http://dx.doi.org/10.3850/978-981-14-8593-0

Abstract

Maintenance of physical assets plays a key role in a company's long-term profitability and has increasingly become an important element of business performance in the last decades. However, many organizations are under pressure to reduce their costs associated with maintenance operations while keeping high level of safety and reliability. Currently, the performance of maintenance programs in industries varies from corrective repair or replacement (through which the assets are restored to working condition in case of a failure) to prognostic programs (with the aim of detecting anomalies as early as possible to prevent a failure). To achieve the aim of reducing cost and increasing efficiency, the asset owners must determine what maintenance program should be adopted for each group of assets and also know when, where and how the maintenance procedures must be conducted. Simulation models are one of the most powerful techniques to assess the efficiency/effectiveness of maintenance programs. A simulation model has the capability to take into account system parameter uncertainties as well as to explore the feasibility of novel maintenance strategies. This paper presents a simulation-based multi-criteria approach to assess the effectiveness of various maintenance programs adopted for industrial plants and public facilities (e.g. preventive maintenance (PM), risk-based maintenance (RBM), condition-based maintenance (CBM), etc.) to save cost and reduce risk. A maintenance program with the best "performance" is chosen for execution by means of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). A case study of passenger door systems of the Class 380 trains on the Scotland’s railway transport network is provided to demonstrate how to use the model. Based on the results, CBM was found to be superior to other maintenance programs for the train passenger door units, followed by mileage-based PM.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.3850/978-981-14-8593-0
Uncontrolled keywords: Prognostic maintenance, Simulation, Multi-Criteria Decision Analysis (MCDA), Railway transport.
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials engineering and construction
T Technology > TF Railroad engineering and operation
T Technology > TJ Mechanical engineering and machinery
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 26 Mar 2021 10:31 UTC
Last Modified: 29 Mar 2021 14:34 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/87336 (The current URI for this page, for reference purposes)
Shafiee, Mahmood: https://orcid.org/0000-0002-6122-5719
  • Depositors only (login required):

Downloads

Downloads per month over past year