Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/98313
| Title: | Network-based optimization modeling of manhole setting for pipeline transportation | Authors: | Chen, J Wang, S Liu, Z Guo, Y |
Issue Date: | May-2018 | Source: | Transportation research. Part E, Logistics and transportation review, May 2018, v. 113, p. 38-55 | Abstract: | This study proposes a network-based methodology for the optimization of manhole setting problem, which is a key component of pipeline transportation. The objective is to minimize the total social cost which involves the construction cost and the maintenance cost including the negative impact of manholes on the ground transportation. We first consider a special model which is efficiently solved by a topological sort-based approach. Later, we build a generic model and prove it to be NP-hard. A metaheuristic method is developed to obtain good-quality solutions. Finally, the models and solution methods are validated by numerical examples. | Keywords: | Manhole setting Pipeline transportation Topological sort |
Publisher: | Pergamon Press | Journal: | Transportation research. Part E, Logistics and transportation review | ISSN: | 1366-5545 | EISSN: | 1878-5794 | DOI: | 10.1016/j.tre.2018.01.010 | Rights: | © 2018 Elsevier Ltd. All rights reserved. © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Chen, J., Wang, S., Liu, Z., & Guo, Y. (2018). Network-based optimization modeling of manhole setting for pipeline transportation. Transportation research part E: logistics and transportation review, 113, 38-55 is available at https://doi.org/10.1016/j.tre.2018.01.010. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Network-Based_Optimization_Modeling.pdf | Pre-Published version | 1.95 MB | Adobe PDF | View/Open |
Page views
50
Citations as of Apr 14, 2025
Downloads
33
Citations as of Apr 14, 2025
SCOPUSTM
Citations
9
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
8
Citations as of Oct 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



