IDEAS home Printed from https://ideas.repec.org/a/spr/orspec/v40y2018i1d10.1007_s00291-017-0486-y.html
   My bibliography  Save this article

Just-in-time logistics for far-distant suppliers: scheduling truck departures from an intermediate cross-docking terminal

Author

Listed:
  • Stefan Schwerdfeger

    (Friedrich-Schiller-Universität Jena)

  • Nils Boysen

    (Friedrich-Schiller-Universität Jena)

  • Dirk Briskorn

    (Bergische Universität Wuppertal)

Abstract

Integrating far-distant suppliers, e.g., from low-wage countries and other currency areas, into concerted just-in-time (JIT) supply concepts is a delicate planning task. One enabler, e.g., often applied in the automotive industry, is an intermediate cross-docking terminal. Such a cross-dock located in close vicinity to the targeted plant is supplied from far-distant suppliers (as JIT as the long distance allows). The ultimate JIT demands are, then, assembled in the cross-dock from intermediate storage and delivered to the close-by plant in a concerted manner. This paper treats the scheduling of the JIT deliveries from the cross-dock toward the plant. Specifically, we aim to minimize the size of the vehicle fleet required to deliver all part containers within their given JIT intervals and without violating the vehicles’ capacities. We introduce suited solution procedures and investigate managerial aspects, such as the impact of the JIT intervals, the distance of the cross-dock, and the standardization of containers on the required vehicle fleet.

Suggested Citation

  • Stefan Schwerdfeger & Nils Boysen & Dirk Briskorn, 2018. "Just-in-time logistics for far-distant suppliers: scheduling truck departures from an intermediate cross-docking terminal," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 1-21, January.
    • Handle: RePEc:spr:orspec:v:40:y:2018:i:1:d:10.1007_s00291-017-0486-y
    DOI: 10.1007/s00291-017-0486-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00291-017-0486-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00291-017-0486-y?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. Agnetis, Alessandro & Aloulou, Mohamed Ali & Fu, Liang-Liang, 2014. "Coordination of production and interstage batch delivery with outsourced distribution," European Journal of Operational Research, Elsevier, vol. 238(1), pages 130-142.
    2. Buijs, Paul & Vis, Iris F.A. & Carlo, Héctor J., 2014. "Synchronization in cross-docking networks: A research classification and framework," European Journal of Operational Research, Elsevier, vol. 239(3), pages 593-608.
    3. Ruslan Sadykov & François Vanderbeck, 2013. "Bin Packing with Conflicts: A Generic Branch-and-Price Algorithm," INFORMS Journal on Computing, INFORMS, vol. 25(2), pages 244-255, May.
    4. Nils Boysen & Dirk Briskorn & Simon Emde, 2016. "Just-in-time vehicle scheduling with capacity constraints," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 134-145, February.
    5. Van Belle, Jan & Valckenaers, Paul & Cattrysse, Dirk, 2012. "Cross-docking: State of the art," Omega, Elsevier, vol. 40(6), pages 827-846.
    6. Albert E. Fernandes Muritiba & Manuel Iori & Enrico Malaguti & Paolo Toth, 2010. "Algorithms for the Bin Packing Problem with Conflicts," INFORMS Journal on Computing, INFORMS, vol. 22(3), pages 401-415, August.
    7. Boysen, Nils & Briskorn, Dirk & Emde, Simon, 2016. "Just-in-time vehicle scheduling with capacity constraints," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 79431, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Boysen, Nils & Fliedner, Malte, 2010. "Cross dock scheduling: Classification, literature review and research agenda," Omega, Elsevier, vol. 38(6), pages 413-422, December.
    9. Leroy B. Schwarz, 1989. "A Model for Assessing the Value of Warehouse Risk-Pooling: Risk-Pooling Over Outside-Supplier Leadtimes," Management Science, INFORMS, vol. 35(7), pages 828-842, July.
    10. Michael Drexl, 2012. "Synchronization in Vehicle Routing---A Survey of VRPs with Multiple Synchronization Constraints," Transportation Science, INFORMS, vol. 46(3), pages 297-316, August.
    11. M Wen & J Larsen & J Clausen & J-F Cordeau & G Laporte, 2009. "Vehicle routing with cross-docking," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1708-1718, December.
    12. Khanafer, Ali & Clautiaux, François & Talbi, El-Ghazali, 2010. "New lower bounds for bin packing problems with conflicts," European Journal of Operational Research, Elsevier, vol. 206(2), pages 281-288, October.
    13. de Souza, Mauricio C. & de Carvalho, Carlos R.V. & Brizon, Wellington B., 2008. "Packing items to feed assembly lines," European Journal of Operational Research, Elsevier, vol. 184(2), pages 480-489, January.
    14. Agnetis, Alessandro & Aloulou, Mohamed Ali & Fu, Liang-Liang & Kovalyov, Mikhail Y., 2015. "Two faster algorithms for coordination of production and batch delivery: A note," European Journal of Operational Research, Elsevier, vol. 241(3), pages 927-930.
    15. Ladier, Anne-Laure & Alpan, Gülgün, 2016. "Cross-docking operations: Current research versus industry practice," Omega, Elsevier, vol. 62(C), pages 145-162.
    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. Chaolin Yang & Diyuan Huang & Chenyang Xu, 2022. "Multi-index base-stock policy for inventory systems with multiple capacitated suppliers," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 155-177, March.
    2. Dulebenets, Maxim A., 2019. "A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility," International Journal of Production Economics, Elsevier, vol. 212(C), pages 236-258.
    3. Chandra Ade Irawan & Graham Wall & Dylan Jones, 2019. "An optimisation model for scheduling the decommissioning of an offshore wind farm," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(2), pages 513-548, June.
    4. Imen Hamdi & Imen Boujneh, 2022. "Particle swarm optimization based-algorithms to solve the two-machine cross-docking flow shop problem: just in time scheduling," Journal of Combinatorial Optimization, Springer, vol. 44(2), pages 947-969, September.
    5. Bingtao Quan & Sujian Li & Kuo-Jui Wu, 2022. "Optimizing the Vehicle Scheduling Problem for Just-in-Time Delivery Considering Carbon Emissions and Atmospheric Particulate Matter," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    6. Oluwatosin Theophilus & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Masoud Kavoosi, 2019. "Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The-Art Review," Sustainability, MDPI, vol. 11(19), pages 1-23, September.

    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. Rijal, Arpan & Bijvank, Marco & de Koster, René, 2019. "Integrated scheduling and assignment of trucks at unit-load cross-dock terminals with mixed service mode dock doors," European Journal of Operational Research, Elsevier, vol. 278(3), pages 752-771.
    2. Philippe Grangier & Michel Gendreau & Fabien Lehuédé & Louis-Martin Rousseau, 2021. "The vehicle routing problem with cross-docking and resource constraints," Journal of Heuristics, Springer, vol. 27(1), pages 31-61, April.
    3. Wolff, Pascal & Emde, Simon & Pfohl, Hans-Christian, 2021. "Internal resource requirements: The better performance metric for truck scheduling?," Omega, Elsevier, vol. 103(C).
    4. Vanajakumari, Manoj & Sun, Haoying & Jones, Ashley & Sriskandarajah, Chelliah, 2022. "Supply chain planning: A case for Hybrid Cross-Docks," Omega, Elsevier, vol. 108(C).
    5. Gaudioso, Manlio & Monaco, Maria Flavia & Sammarra, Marcello, 2021. "A Lagrangian heuristics for the truck scheduling problem in multi-door, multi-product Cross-Docking with constant processing time," Omega, Elsevier, vol. 101(C).
    6. Fonseca, Gabriela B. & Nogueira, Thiago H. & Ravetti, Martín Gómez, 2019. "A hybrid Lagrangian metaheuristic for the cross-docking flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 275(1), pages 139-154.
    7. Gelareh, Shahin & Glover, Fred & Guemri, Oualid & Hanafi, Saïd & Nduwayo, Placide & Todosijević, Raca, 2020. "A comparative study of formulations for a cross-dock door assignment problem," Omega, Elsevier, vol. 91(C).
    8. Boysen, Nils & Briskorn, Dirk & Fedtke, Stefan & Schmickerath, Marcel, 2019. "Automated sortation conveyors: A survey from an operational research perspective," European Journal of Operational Research, Elsevier, vol. 276(3), pages 796-815.
    9. Reza Kiani Mavi & Mark Goh & Neda Kiani Mavi & Ferry Jie & Kerry Brown & Sharon Biermann & Ahmad A. Khanfar, 2020. "Cross-Docking: A Systematic Literature Review," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
    10. Wang, Haibo & Alidaee, Bahram, 2019. "The multi-floor cross-dock door assignment problem: Rising challenges for the new trend in logistics industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 132(C), pages 30-47.
    11. Guemri, Oualid & Nduwayo, Placide & Todosijević, Raca & Hanafi, Saïd & Glover, Fred, 2019. "Probabilistic Tabu Search for the Cross-Docking Assignment Problem," European Journal of Operational Research, Elsevier, vol. 277(3), pages 875-885.
    12. Sayed Ibrahim Sayed & Ivan Contreras & Juan A. Diaz & Dolores E. Luna, 2020. "Integrated cross-dock door assignment and truck scheduling with handling times," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 705-727, October.
    13. Hans Corsten & Ferdinand Becker & Hagen Salewski, 2020. "Integrating truck and workforce scheduling in a cross-dock: analysis of different workforce coordination policies," Journal of Business Economics, Springer, vol. 90(2), pages 207-237, March.
    14. Fatemeh Faghih-Mohammadi & Mohammad Mahdi Nasiri & Dinçer Konur, 2023. "Cross-dock facility for disaster relief operations," Annals of Operations Research, Springer, vol. 322(1), pages 497-538, March.
    15. Bingtao Quan & Sujian Li & Kuo-Jui Wu, 2022. "Optimizing the Vehicle Scheduling Problem for Just-in-Time Delivery Considering Carbon Emissions and Atmospheric Particulate Matter," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    16. Sara Martins & Pedro Amorim & Bernardo Almada-Lobo, 2018. "Delivery mode planning for distribution to brick-and-mortar retail stores: discussion and literature review," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 785-812, December.
    17. Konur, Dinçer & Golias, Mihalis M., 2013. "Cost-stable truck scheduling at a cross-dock facility with unknown truck arrivals: A meta-heuristic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 71-91.
    18. Vincent F. Yu & Parida Jewpanya & Voratas Kachitvichyanukul, 2016. "Particle swarm optimization for the multi-period cross-docking distribution problem with time windows," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 509-525, January.
    19. Pan, Fei & Zhou, Wei & Fan, Tijun & Li, Shuxia & Zhang, Chong, 2021. "Deterioration rate variation risk for sustainable cross-docking service operations," International Journal of Production Economics, Elsevier, vol. 232(C).
    20. Li, Mingjie & Hao, Jin-Kao & Wu, Qinghua, 2024. "A flow based formulation and a reinforcement learning based strategic oscillation for cross-dock door assignment," European Journal of Operational Research, Elsevier, vol. 312(2), pages 473-492.

    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:spr:orspec:v:40:y:2018:i:1:d:10.1007_s00291-017-0486-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.