IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v122y2019icp433-447.html
   My bibliography  Save this article

Overbooking and delivery-delay-allowed strategies for container slot allocation

Author

Listed:
  • Wang, Tingsong
  • Xing, Zheng
  • Hu, Hongtao
  • Qu, Xiaobo

Abstract

Due to uncontrollable markets and unreliable factors in liner container shipping industry, the deviation between the actual and estimated shipment demand of containers always exists, resulting in a waste of shipping capacity or unfulfilled shipping requirements. To tackle such a slot allocation problem, this paper proposes overbooking (OB) and delivery-postponed (DP) strategies to maximize profits. Then, two corresponding multi-period models are developed and solution algorithms are presented. Finally, several numerical experiments are carried on to show the applicability of the proposed models and solution algorithms. The results indicate that the OB and DP strategies can promote the profit.

Suggested Citation

  • Wang, Tingsong & Xing, Zheng & Hu, Hongtao & Qu, Xiaobo, 2019. "Overbooking and delivery-delay-allowed strategies for container slot allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 433-447.
  • Handle: RePEc:eee:transe:v:122:y:2019:i:c:p:433-447
    DOI: 10.1016/j.tre.2018.12.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554518309189
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2018.12.019?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. Mikhail A. Bragin & Peter B. Luh & Joseph H. Yan & Nanpeng Yu & Gary A. Stern, 2015. "Convergence of the Surrogate Lagrangian Relaxation Method," Journal of Optimization Theory and Applications, Springer, vol. 164(1), pages 173-201, January.
    2. L. H. Lee & E. P. Chew & M. S. Sim, 2007. "A heuristic to solve a sea cargo revenue management problem," Springer Books, in: Kap Hwan Kim & Hans-Otto Günther (ed.), Container Terminals and Cargo Systems, pages 351-364, Springer.
    3. Marlow, Peter & Nair, Rawindaran, 2008. "Service contracts--An instrument of international logistics supply chain: Under United States and European Union regulatory frameworks," Marine Policy, Elsevier, vol. 32(3), pages 489-496, May.
    4. Keely L. Croxton & Bernard Gendron & Thomas L. Magnanti, 2003. "Models and Methods for Merge-in-Transit Operations," Transportation Science, INFORMS, vol. 37(1), pages 1-22, February.
    5. Dimitris Bertsimas & Romy Shioda, 2003. "Restaurant Revenue Management," Operations Research, INFORMS, vol. 51(3), pages 472-486, June.
    6. Marshall L. Fisher, 1981. "The Lagrangian Relaxation Method for Solving Integer Programming Problems," Management Science, INFORMS, vol. 27(1), pages 1-18, January.
    7. Wang, Shuaian & Wang, Hua & Meng, Qiang, 2015. "Itinerary provision and pricing in container liner shipping revenue management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 135-146.
    8. Goh, Shao Hung & Chan, Yuxian, 2016. "Operational shadow pricing in back haul container shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 3-15.
    9. Hua-An Lu & Wen-Hung Mu, 2016. "A slot reallocation model for containership schedule adjustment," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(1), pages 136-157, January.
    10. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    11. Maddah, Bacel & Moussawi-Haidar, Lama & El-Taha, Muhammad & Rida, Hussein, 2010. "Dynamic cruise ship revenue management," European Journal of Operational Research, Elsevier, vol. 207(1), pages 445-455, November.
    12. Dong-Ping Song & Jing-Xin Dong, 2008. "Empty Container Management in Cyclic Shipping Routes," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(4), pages 335-361, December.
    13. Shin-Chan Ting * & Gwo-Hshiung Tzeng, 2004. "An optimal containership slot allocation for liner shipping revenue management," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(3), pages 199-211, July.
    14. Meng, Qiang & Wang, Tingsong & Wang, Shuaian, 2012. "Short-term liner ship fleet planning with container transshipment and uncertain container shipment demand," European Journal of Operational Research, Elsevier, vol. 223(1), pages 96-105.
    15. Wang, Xiaojia & Fung, Richard Y.K., 2014. "An option-based hedging mechanism for managing the risk of overbooking in parallel airline alliances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 146-162.
    16. X. Zhao & P. B. Luh & J. Wang, 1999. "Surrogate Gradient Algorithm for Lagrangian Relaxation," Journal of Optimization Theory and Applications, Springer, vol. 100(3), pages 699-712, March.
    17. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    18. Diwakar Gupta & Lei Wang, 2008. "Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice," Operations Research, INFORMS, vol. 56(3), pages 576-592, June.
    19. Pellegrini, Paola & Bolić, Tatjana & Castelli, Lorenzo & Pesenti, Raffaele, 2017. "SOSTA: An effective model for the Simultaneous Optimisation of airport SloT Allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 34-53.
    20. Guerriero, Francesca & Miglionico, Giovanna & Olivito, Filomena, 2012. "Revenue management policies for the truck rental industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 202-214.
    21. Sebastian Zurheide & Kathrin Fischer, 2012. "A revenue management slot allocation model for liner shipping networks," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(3), pages 334-361, September.
    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. Ma, Jie & Tse, Ying Kei & Wang, Xiaojun & Zhang, Minhao, 2019. "Examining customer perception and behaviour through social media research – An empirical study of the United Airlines overbooking crisis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 192-205.
    2. Wang, Tingsong & Tian, Xuecheng & Wang, Yadong, 2020. "Container slot allocation and dynamic pricing of time-sensitive cargoes considering port congestion and uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    3. Baozhuang Niu & Zhipeng Dai & Lei Chen, 2022. "Information leakage in a cross-border logistics supply chain considering demand uncertainty and signal inference," Annals of Operations Research, Springer, vol. 309(2), pages 785-816, February.
    4. Hanghang Zhu & Zhi Pei, 2023. "Two-Stage Robust Liner Container Booking with Uncertain Customer Demand," Mathematics, MDPI, vol. 11(8), pages 1-24, April.
    5. Qiaoyu Peng & Chuanxu Wang, 2022. "Ship space sharing strategies with different rental modes: How does NVOCCs cooperate with booking platform?," Operational Research, Springer, vol. 22(3), pages 3003-3035, July.
    6. Liang, Jinpeng & Li, Liming & Zheng, Jianfeng & Tan, Zhijia, 2023. "Service-oriented container slot allocation policy under stochastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).

    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. Wang, Tingsong & Meng, Qiang & Wang, Shuaian & Qu, Xiaobo, 2021. "A two-stage stochastic nonlinear integer-programming model for slot allocation of a liner container shipping service," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 143-160.
    2. Wang, Shuaian & Wang, Hua & Meng, Qiang, 2015. "Itinerary provision and pricing in container liner shipping revenue management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 135-146.
    3. Meng, Qiang & Zhao, Hui & Wang, Yadong, 2019. "Revenue management for container liner shipping services: Critical review and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 280-292.
    4. Maclean, K.D.S. & Ødegaard, F., 2020. "Dynamic capacity allocation for group bookings in live entertainment," European Journal of Operational Research, Elsevier, vol. 287(3), pages 975-988.
    5. Milad HajMirzaei & Koorush Ziarati & Alireza Nikseresht, 2022. "A customer type discovery algorithm in hotel revenue management systems," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 200-211, April.
    6. Syed Asif Raza & Rafi Ashrafi & Ali Akgunduz, 2020. "A bibliometric analysis of revenue management in airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 436-465, December.
    7. Moussawi-Haidar, Lama & Nasr, Walid & Jalloul, Maya, 2021. "Standardized cargo network revenue management with dual channels under stochastic and time-dependent demand," European Journal of Operational Research, Elsevier, vol. 295(1), pages 275-291.
    8. Ma, Jie & Tse, Ying Kei & Wang, Xiaojun & Zhang, Minhao, 2019. "Examining customer perception and behaviour through social media research – An empirical study of the United Airlines overbooking crisis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 192-205.
    9. Mihai Banciu & Fredrik Ødegaard & Alia Stanciu, 2019. "Distribution-free bounds for the expected marginal seat revenue heuristic with dependent demands," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 155-163, April.
    10. Jonathan Patrick & Martin L. Puterman & Maurice Queyranne, 2008. "Dynamic Multipriority Patient Scheduling for a Diagnostic Resource," Operations Research, INFORMS, vol. 56(6), pages 1507-1525, December.
    11. Qiang Meng & Tingsong Wang & Shuaian Wang, 2015. "Multi-period liner ship fleet planning with dependent uncertain container shipment demand," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(1), pages 43-67, January.
    12. Hua-An Lu & Wen-Hung Mu, 2016. "A slot reallocation model for containership schedule adjustment," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(1), pages 136-157, January.
    13. Choi, Tsan-Ming & Chung, Sai-Ho & Zhuo, Xiaopo, 2020. "Pricing with risk sensitive competing container shipping lines: Will risk seeking do more good than harm?," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 210-229.
    14. Qu, Xiuli & Shi, Jing, 2011. "Modeling the effect of patient choice on the performance of open access scheduling," International Journal of Production Economics, Elsevier, vol. 129(2), pages 314-327, February.
    15. Kavitha Balaiyan & R. K. Amit & Atul Kumar Malik & Xiaodong Luo & Amit Agarwal, 2019. "Joint forecasting for airline pricing and revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(6), pages 465-482, December.
    16. J Pinder, 2005. "Using revenue management to improve pricing and capacity management in programme management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(1), pages 75-87, January.
    17. Wang, Tingsong & Tian, Xuecheng & Wang, Yadong, 2020. "Container slot allocation and dynamic pricing of time-sensitive cargoes considering port congestion and uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    18. Wang, Yadong & Meng, Qiang & Du, Yuquan, 2015. "Liner container seasonal shipping revenue management," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 141-161.
    19. Najafi, Mehdi & Zolfagharinia, Hossein, 2021. "Pricing and quality setting strategy in maritime transportation: Considering empty repositioning and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 240(C).
    20. Hans-Jörg Schütz & Rainer Kolisch, 2013. "Capacity allocation for demand of different customer-product-combinations with cancellations, no-shows, and overbooking when there is a sequential delivery of service," Annals of Operations Research, Springer, vol. 206(1), pages 401-423, 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:eee:transe:v:122:y:2019:i:c:p:433-447. 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.