A grouping model for distributed pipeline assets maintenance decision

Li, Fengfeng, Ma, Lin, Sun, Yong, & Mathew, Joseph (2011) A grouping model for distributed pipeline assets maintenance decision. In Huang, Hong-Zhong, Zuo, Ming J., Jia, Xisheng, & Liu, Yu (Eds.) Proceedings of 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, IEEE, Xi’an International Conference Center, Xi'an, China, pp. 627-632.

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Distributed pipeline assets systems are crucial to society. The deterioration of these assets and the optimal allocation of limited budget for their maintenance correspond to crucial challenges for water utility managers. Decision makers should be assisted with optimal solutions to select the best maintenance plan concerning available resources and management strategies. Much research effort has been dedicated to the development of optimal strategies for maintenance of water pipes. Most of the maintenance strategies are intended for scheduling individual water pipe. Consideration of optimal group scheduling replacement jobs for groups of pipes or other linear assets has so far not received much attention in literature. It is a common practice that replacement planners select two or three pipes manually with ambiguous criteria to group into one replacement job. This is obviously not the best solution for job grouping and may not be cost effective, especially when total cost can be up to multiple million dollars. In this paper, an optimal group scheduling scheme with three decision criteria for distributed pipeline assets maintenance decision is proposed. A Maintenance Grouping Optimization (MGO) model with multiple criteria is developed. An immediate challenge of such modeling is to deal with scalability of vast combinatorial solution space. To address this issue, a modified genetic algorithm is developed together with a Judgment Matrix. This Judgment Matrix is corresponding to various combinations of pipe replacement schedules. An industrial case study based on a section of a real water distribution network was conducted to test the new model. The results of the case study show that new schedule generated a significant cost reduction compared with the schedule without grouping pipes.

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ID Code: 41769
Item Type: Conference Paper
Refereed: Yes
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Keywords: Distributed Pipeline, Water Utility Managers, Management Strategies, Maintenance Decision, Maintenance Grouping Optimization, Genetic Algorithm
ISBN: 9781457712302
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Infrastructure Engineering and Asset Management (090505)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2011 IEEE Please consult the authors.
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Deposited On: 23 May 2011 22:03
Last Modified: 12 Oct 2012 14:12

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