IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v98y2017icp105-131.html
   My bibliography  Save this article

A simulation model for the management and expansion of extended port terminal operations

Author

Listed:
  • Cimpeanu, Radu
  • Devine, Mel T.
  • O’Brien, Conor

Abstract

This study introduces a discrete event simulation model for the analysis of bulk carrier unloading and material transport, storage and discharge at Europe’s largest alumina refinery, RUSAL Aughinish Alumina. With novel features such as the integration of additional unloading functionality, auxiliary infrastructure units, as well as efficient maintenance scheduling into the material processing chain, the model is used to predict and evaluate the performance gain in the port system in the context of long-term investment and planning scenarios. Promising strategic directions in terms of large scale performance indicators such as berth occupancy and costs have been identified.

Suggested Citation

  • Cimpeanu, Radu & Devine, Mel T. & O’Brien, Conor, 2017. "A simulation model for the management and expansion of extended port terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 105-131.
    • Handle: RePEc:eee:transe:v:98:y:2017:i:c:p:105-131
    DOI: 10.1016/j.tre.2016.12.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554516304574
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2016.12.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Panagiotis Angeloudis & Michael G. H. Bell, 2011. "A review of container terminal simulation models," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(5), pages 523-540, February.
    2. Zhen, Lu & Lee, Loo Hay & Chew, Ek Peng, 2011. "A decision model for berth allocation under uncertainty," European Journal of Operational Research, Elsevier, vol. 212(1), pages 54-68, July.
    3. Shabayek, A. A. & Yeung, W. W., 2002. "A simulation model for the Kwai Chung container terminals in Hong Kong," European Journal of Operational Research, Elsevier, vol. 140(1), pages 1-11, July.
    4. Du, Yuquan & Chen, Qiushuang & Quan, Xiongwen & Long, Lei & Fung, Richard Y.K., 2011. "Berth allocation considering fuel consumption and vessel emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1021-1037.
    5. Helen B Bendall & Alan F Stent, 2005. "Ship Investment under Uncertainty: Valuing a Real Option on the Maximum of Several Strategies," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 7(1), pages 19-35, March.
    6. Tierney, Kevin & Voß, Stefan & Stahlbock, Robert, 2014. "A mathematical model of inter-terminal transportation," European Journal of Operational Research, Elsevier, vol. 235(2), pages 448-460.
    7. Yun, Won Young & Choi, Yong Seok, 1999. "A simulation model for container-terminal operation analysis using an object-oriented approach," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 221-230, March.
    8. Longo, Francesco, 2010. "Design and integration of the containers inspection activities in the container terminal operations," International Journal of Production Economics, Elsevier, vol. 125(2), pages 272-283, June.
    9. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Transport operations in container terminals: Literature overview, trends, research directions and classification scheme," European Journal of Operational Research, Elsevier, vol. 236(1), pages 1-13.
    10. Pasquale Legato & Rina Mary Mazza & Roberto Trunfio, 2013. "Medcenter Container Terminal SpA Uses Simulation in Housekeeping Operations," Interfaces, INFORMS, vol. 43(4), pages 313-324, August.
    11. Legato, Pasquale & Mazza, Rina M., 2001. "Berth planning and resources optimisation at a container terminal via discrete event simulation," European Journal of Operational Research, Elsevier, vol. 133(3), pages 537-547, September.
    12. Chang, Daofang & Jiang, Zuhua & Yan, Wei & He, Junliang, 2010. "Integrating berth allocation and quay crane assignments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 975-990, November.
    13. Bielli, Maurizio & Boulmakoul, Azedine & Rida, Mohamed, 2006. "Object oriented model for container terminal distributed simulation," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1731-1751, December.
    14. Carteni, Armando & de Luca, Stefano, 2010. "Analysis and modeling of container terminal handling activities," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 46, pages 52-71.
    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. Agostino Bruzzone & Anna Sciomachen, 2023. "Simulating Operating Performance of Alternative Configurations of LNG Bunkering Stations," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    2. Feng, Xuejun & Hu, Sangen & Gu, Weihua & Jin, Xin & Lu, Yuan, 2020. "A simulation-based approach for assessing seaside infrastructure improvement measures for large marine crude oil terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    3. Caldeira dos Santos, Murillo & Pereira, Fábio Henrique, 2021. "Development and application of a dynamic model for road port access and its impacts on port-city relationship indicators," Journal of Transport Geography, Elsevier, vol. 96(C).
    4. Dafnomilis, I. & Duinkerken, M.B. & Junginger, M. & Lodewijks, G. & Schott, D.L., 2018. "Optimal equipment deployment for biomass terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 147-163.

    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. Branislav Dragović & Ernestos Tzannatos & Nam Kuy Park, 2017. "Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 4-34, March.
    2. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    3. Longo, Francesco, 2010. "Design and integration of the containers inspection activities in the container terminal operations," International Journal of Production Economics, Elsevier, vol. 125(2), pages 272-283, June.
    4. Gharehgozli, A.H. & Roy, D. & de Koster, M.B.M., 2014. "Sea Container Terminals," ERIM Report Series Research in Management ERS-2014-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Gharehgozli, Amir & Zaerpour, Nima, 2018. "Stacking outbound barge containers in an automated deep-sea terminal," European Journal of Operational Research, Elsevier, vol. 267(3), pages 977-995.
    6. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "A note on “Berth allocation considering fuel consumption and vessel emissions”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 48-54.
    7. Kevin Tierney & Dario Pacino & Stefan Voß, 2017. "Solving the pre-marshalling problem to optimality with A* and IDA," Flexible Services and Manufacturing Journal, Springer, vol. 29(2), pages 223-259, June.
    8. 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.
    9. Parola, Francesco & Sciomachen, Anna, 2005. "Intermodal container flows in a port system network:: Analysis of possible growths via simulation models," International Journal of Production Economics, Elsevier, vol. 97(1), pages 75-88, July.
    10. Branislav Dragović & Nam Kyu Park & Zoran Radmilović, 2006. "Ship-berth link performance evaluation: simulation and analytical approaches," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(3), pages 281-299, July.
    11. 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.
    12. Zhen, Lu & Shen, Tao & Wang, Shuaian & Yu, Shucheng, 2016. "Models on ship scheduling in transshipment hubs with considering bunker cost," International Journal of Production Economics, Elsevier, vol. 173(C), pages 111-121.
    13. 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.
    14. Wang, Tingsong & Wang, Xinchang & Meng, Qiang, 2018. "Joint berth allocation and quay crane assignment under different carbon taxation policies," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 18-36.
    15. Kastner, Marvin & Kämmerling, Nicolas & Jahn, Carlos & Clausen, Uwe, 2020. "Equipment selection and layout planning - Literature overview and research directions," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 485-519, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    16. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    17. Feng, Xuejun & Hu, Sangen & Gu, Weihua & Jin, Xin & Lu, Yuan, 2020. "A simulation-based approach for assessing seaside infrastructure improvement measures for large marine crude oil terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    18. Jia, Shuai & Li, Chung-Lun & Xu, Zhou, 2020. "A simulation optimization method for deep-sea vessel berth planning and feeder arrival scheduling at a container port," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 174-196.
    19. Wang, Shuaian, 2016. "Fundamental properties and pseudo-polynomial-time algorithm for network containership sailing speed optimization," European Journal of Operational Research, Elsevier, vol. 250(1), pages 46-55.
    20. Rodrigues, Filipe & Agra, Agostinho, 2022. "Berth allocation and quay crane assignment/scheduling problem under uncertainty: A survey," European Journal of Operational Research, Elsevier, vol. 303(2), pages 501-524.

    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:eee:transe:v:98:y:2017:i:c:p:105-131. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    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.