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Network-based optimization modeling of manhole setting for pipeline transportation

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  • Chen, Jingxu
  • Wang, Shuaian
  • Liu, Zhiyuan
  • Guo, Yanyong

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.

Suggested Citation

  • Chen, Jingxu & Wang, Shuaian & Liu, Zhiyuan & Guo, Yanyong, 2018. "Network-based optimization modeling of manhole setting for pipeline transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 38-55.
  • Handle: RePEc:eee:transe:v:113:y:2018:i:c:p:38-55
    DOI: 10.1016/j.tre.2018.01.010
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    1. Liu, Jiangtao & Zhou, Xuesong, 2016. "Capacitated transit service network design with boundedly rational agents," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 225-250.
    2. Koza, David Franz & Ropke, Stefan & Boleda Molas, Anna, 2017. "The liquefied natural gas infrastructure and tanker fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 96-114.
    3. Jin, Jian Gang & Tang, Loon Ching & Sun, Lijun & Lee, Der-Horng, 2014. "Enhancing metro network resilience via localized integration with bus services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 17-30.
    4. Chen, Chialin & Achtari, Guyves & Majkut, Kevin & Sheu, Jiuh-Biing, 2017. "Balancing equity and cost in rural transportation management with multi-objective utility analysis and data envelopment analysis: A case of Quinte West," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 148-165.
    5. Szeto, W.Y. & Jiang, Y., 2014. "Transit route and frequency design: Bi-level modeling and hybrid artificial bee colony algorithm approach," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 235-263.
    6. Kazemi, Yasaman & Szmerekovsky, Joseph, 2015. "Modeling downstream petroleum supply chain: The importance of multi-mode transportation to strategic planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 111-125.
    7. Habibian, Meeghat & Kermanshah, Mohammad, 2013. "Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters," Transport Policy, Elsevier, vol. 30(C), pages 229-237.
    8. Andrijcic, E. & Haimes, Y.Y. & Beatley, T., 2013. "Public policy implications of harmonizing engineering technology with socio-economic modeling: Application to transportation infrastructure management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 62-73.
    9. Sheu, Jiuh-Biing, 2007. "An emergency logistics distribution approach for quick response to urgent relief demand in disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 687-709, November.
    10. Sheu, Jiuh-Biing, 2010. "Dynamic relief-demand management for emergency logistics operations under large-scale disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 1-17, January.
    11. Ceder, Avishai (Avi) & Butcher, Matthew & Wang, Lingli, 2015. "Optimization of bus stop placement for routes on uneven topography," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 40-61.
    12. Gerard Jong & Inge Vierth & Lori Tavasszy & Moshe Ben-Akiva, 2013. "Recent developments in national and international freight transport models within Europe," Transportation, Springer, vol. 40(2), pages 347-371, February.
    13. Chen, Jingxu & Liu, Zhiyuan & Zhu, Senlai & Wang, Wei, 2015. "Design of limited-stop bus service with capacity constraint and stochastic travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 1-15.
    14. Mahmoudi, Monirehalsadat & Zhou, Xuesong, 2016. "Finding optimal solutions for vehicle routing problem with pickup and delivery services with time windows: A dynamic programming approach based on state–space–time network representations," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 19-42.
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    Cited by:

    1. Chen, Jingxu & Jia, Shuai & Wang, Shuaian & Liu, Zhiyuan, 2018. "Subloop-based reversal of port rotation directions for container liner shipping network alteration," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 336-361.

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