Group maintenance scheduling: a case study for a pipeline network
Li, Fengfeng, Ma, Lin, Sun, Yong, & Mathew, Joseph (2014) Group maintenance scheduling: a case study for a pipeline network. In Ni, J, Lee, J, Mathew, J, & Sarangapani, J (Eds.) Engineering Asset Management 2011: Proceedings of the Sixth Annual World Congress on Engineering Asset Management [Lecture Notes in Mechanical Engineering]. Springer, Germany, pp. 163-177.
|
Submitted Version
(PDF 241kB)
44018.pdf. |
Description
This paper presents a group maintenance scheduling case study for a water distributed network. This water pipeline network presents the challenge of maintaining aging pipelines with the associated increases in annual maintenance costs. The case study focuses on developing an effective maintenance plan for the water utility. Current replacement planning is difficult as it needs to balance the replacement needs under limited budgets. A Maintenance Grouping Optimization (MGO) model based on a modified genetic algorithm was utilized to develop an optimum group maintenance schedule over a 20-year cycle. The adjacent geographical distribution of pipelines was used as a grouping criterion to control the searching space of the MGO model through a Judgment Matrix. Based on the optimum group maintenance schedule, the total cost was effectively reduced compared with the schedules without grouping maintenance jobs. This optimum result can be used as a guidance to optimize the current maintenance plan for the water utility.
Impact and interest:
Citation counts are sourced monthly from Scopus and Web of Science® citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
| ID Code: | 44018 | ||
|---|---|---|---|
| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||
| ORCID iD: |
|
||
| Measurements or Duration: | 15 pages | ||
| Event Title: | World Congress on Engineering Asset Management | ||
| Event Dates: | 2011-10-03 - 2011-10-05 | ||
| Event Location: | Cincinnati, United States | ||
| Keywords: | Genetic Algorithm, Group Maintenance Scheduling, Judgment Matrix, Maintenance Grouping Optimization (MGO), Water Pipeline | ||
| DOI: | 10.1007/978-1-4471-4993-4_15 | ||
| ISBN: | 978-1-4471-4992-7 | ||
| Pure ID: | 32625138 | ||
| Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Past > Research Centres > CRC Integrated Engineering Asset Management (CIEAM) |
||
| Copyright Owner: | Consult author(s) regarding copyright matters | ||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
| Deposited On: | 18 Aug 2011 10:23 | ||
| Last Modified: | 11 Jan 2026 15:58 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page