IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt1t75c3vw.html
   My bibliography  Save this paper

Analysis and Optimization Methods for Centralized Processing of Chassis

Author

Listed:
  • Chassiakos, Anastasios
  • Jula, Hossein
  • VanderBeek, Timothy
  • Shellhammer, Matt
  • An, Samnang Dona

Abstract

The twin ports of Long Beach (POLB) and Los Angeles (POLA), consisting of fourteen individually gated terminals, combine to create the largest container port complex in the US. In 2015, the combined ports handled 15.4 million 20-foot equivalent units (TEUs), a 56% increase since 2000, expected to grow higher in the future. This large number of containers and the associated trips to/from the ports, result in traffic congestion, noise pollution, and greenhouse gas emissions in the vicinity of the ports. The current project studies the concept of “Centralized Processing of Chassis,” and the possibility of using it to mitigate some of these problems. This concept revolves around an off-dock terminal (or several off-dock terminals), referred to as Chassis Processing Facilities (CPFs). A CPF is located close to the port, where trucks will go to exchange chassis, thereby reducing traffic at the marine terminals, resulting in reduced travel times and reduced congestion. The current project develops the required analytical framework for modeling and optimization of the CPF use. The developed analytical model is applied to a case study in the Los Angeles/Long Beach port area. The case study identifies sixteen locations in the vicinity of the ports that can be potentially used as CPFs, and examines several scenarios of container pickup/drop-off transactions. The study presents comparisons between the case when chassis exchanges occur at the CPFs versus the case when chassis exchanges occur at the marine terminals. It is shown that a reduction of up to 20% in total travel time can be achieved when using the CPFs, as compared to using only the marine terminals. The study also shows that using up to three of the potential sixteen CPFs provides significant improvements to total travel time, but using more than three CPFs will have insignificant additional benefits. Moreover, a discrete event simulation model is developed and used for detailed simulation scenarios, as well as for examining and evaluating the performance of heuristic methods. View the NCST Project Webpage

Suggested Citation

  • Chassiakos, Anastasios & Jula, Hossein & VanderBeek, Timothy & Shellhammer, Matt & An, Samnang Dona, 2017. "Analysis and Optimization Methods for Centralized Processing of Chassis," Institute of Transportation Studies, Working Paper Series qt1t75c3vw, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt1t75c3vw
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/1t75c3vw.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Le-Griffin, Hanh D. & Mai, Lam & Griffin, Mark, 2011. "Impact of container chassis management practices in the United States on terminal operational efficiency: An operations and mitigation policy analysis," Research in Transportation Economics, Elsevier, vol. 32(1), pages 90-99.
    2. Vis, Iris F. A. & de Koster, Rene, 2003. "Transshipment of containers at a container terminal: An overview," European Journal of Operational Research, Elsevier, vol. 147(1), pages 1-16, May.
    3. Jula, Hossein & Chassiakos, Anastasios & Ioannou, Petros, 2006. "Port dynamic empty container reuse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(1), pages 43-60, January.
    4. Notteboom Theo E., 2004. "Container Shipping And Ports: An Overview," Review of Network Economics, De Gruyter, vol. 3(2), pages 1-21, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ted Gifford & Robert Gremley, 2019. "Chassis Leasing and Selection Policy for Port Operations," Interfaces, INFORMS, vol. 49(4), pages 239-248, July.
    2. Chassiakos, Anastasios & Jula, Hossein & VanderBeek, Timothy, 2018. "Dynamic Scheduling of Chassis Movements with Chassis Processing Facilities in the Loop," Institute of Transportation Studies, Working Paper Series qt1gt9w6wc, Institute of Transportation Studies, UC Davis.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    2. Sayyed Hassan Hatami Nasab & Ali Sanayei & S. F. Amiri Aghdaei & Ali Kazemi, 2016. "Using Dry Ports to Facilitate International Trade in Iran; A Model of Success Factors for Implementation of Dry Ports," Modern Applied Science, Canadian Center of Science and Education, vol. 10(3), pages 155-155, March.
    3. Ulf Speer & Kathrin Fischer, 2017. "Scheduling of Different Automated Yard Crane Systems at Container Terminals," Transportation Science, INFORMS, vol. 51(1), pages 305-324, February.
    4. Soppé, Martin & Parola, Francesco & Frémont, Antoine, 2009. "Emerging inter-industry partnerships between shipping lines and stevedores: from rivalry to cooperation?," Journal of Transport Geography, Elsevier, vol. 17(1), pages 10-20.
    5. Slack, Brian & Gouvernal, Elisabeth, 2011. "Container freight rates and the role of surcharges," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1482-1489.
    6. Tran, Nguyen Khoi & Haasis, Hans-Dietrich, 2015. "An empirical study of fleet expansion and growth of ship size in container liner shipping," International Journal of Production Economics, Elsevier, vol. 159(C), pages 241-253.
    7. Ursavas, Evrim & Zhu, Stuart X., 2016. "Optimal policies for the berth allocation problem under stochastic nature," European Journal of Operational Research, Elsevier, vol. 255(2), pages 380-387.
    8. Briskorn, Dirk & Drexl, Andreas & Hartmann, Sönke, 2005. "Inventory based dispatching of automated guided vehicles on container terminals," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 596, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    9. Numa-Navarro, Ian & Wilmsmeier, Gordon & Gil, Cristiam, 2023. "Improving empty container management using street-turn: A case study of the Colombian logistics network," Journal of Transport Geography, Elsevier, vol. 112(C).
    10. Bortfeldt, Andreas & Forster, Florian, 2012. "A tree search procedure for the container pre-marshalling problem," European Journal of Operational Research, Elsevier, vol. 217(3), pages 531-540.
    11. Katta G. Murty & Yat-wah Wan & Jiyin Liu & Mitchell M. Tseng & Edmond Leung & Kam-Keung Lai & Herman W. C. Chiu, 2005. "Hongkong International Terminals Gains Elastic Capacity Using a Data-Intensive Decision-Support System," Interfaces, INFORMS, vol. 35(1), pages 61-75, February.
    12. Daniela Ambrosino & Claudia Caballini, 2019. "New solution approaches for the train load planning problem," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(3), pages 299-325, September.
    13. Zhen, Lu & Zhuge, Dan & Wang, Shuaian & Wang, Kai, 2022. "Integrated berth and yard space allocation under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 1-27.
    14. Maloni, Michael J. & Jackson, Eric C., 2007. "Stakeholder Contributions to Container Port Capacity: A Survey of Port Authorities," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 46(1).
    15. van Asperen, E. & Dekker, R., 2010. "Flexibility in Port Selection: A Quantitative Approach Using Floating Stocks," Econometric Institute Research Papers EI 2009-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Yingyi Huang & Yuliya Mamatok & Chun Jin, 2021. "Decision-making instruments for container seaport sustainable development: management platform and system dynamics model," Environment Systems and Decisions, Springer, vol. 41(2), pages 212-226, June.
    17. Feng Li & Jiuh-Biing Sheu & Zi-You Gao, 2015. "Solving the Continuous Berth Allocation and Specific Quay Crane Assignment Problems with Quay Crane Coverage Range," Transportation Science, INFORMS, vol. 49(4), pages 968-989, November.
    18. Goodchild, Anne V. & Daganzo, Carlos F., 2005. "Crane Double Cycling in Container Ports: Affect on Ship Dwell Time," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9qp7p7jq, Institute of Transportation Studies, UC Berkeley.
    19. Alaa Abdelshafie & May Salah & Tomaž Kramberger & Dejan Dragan, 2022. "Repositioning and Optimal Re-Allocation of Empty Containers: A Review of Methods, Models, and Applications," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
    20. J Blazewicz & T C E Cheng & M Machowiak & C Oguz, 2011. "Berth and quay crane allocation: a moldable task scheduling model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1189-1197, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsdav:qt1t75c3vw. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.