IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i9p1675-d112546.html
   My bibliography  Save this article

Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management

Author

Listed:
  • Kyunghoon Kang

    (Graduate School of Information Security, Korea University, Seongbuk-gu, Seoul 02841, Korea)

  • Ki-sung Hong

    (Graduate School of Management of Technology, Korea University, Seongbuk-gu, Seoul 02841, Korea)

  • Ki Hong Kim

    (Graduate School of Industrial Management Engineering, Korea University, Seongbuk-gu, Seoul 02841, Korea)

  • Chulung Lee

    (Division of Industrial Management Engineering, Korea University, Seongbuk-gu, Seoul 02841, Korea)

Abstract

With increasing concern over the environment, shipment consolidation has become one of a main initiative to reduce CO 2 emissions and transportation cost among the logistics service providers. Increased delivery time caused by shipment consolidation may lead to customer’s order cancellation. Thus, order cancellation should be considered as a factor in order uncertainty to determine the optimal shipment consolidation policy. We develop mathematical models for quantity-based and time-based policies and obtain optimality properties for the models. Efficient algorithms using optimal properties are provided to compute the optimal parameters for ordering and shipment decisions. To compare the performances of the quantity-based policy with the time-based policy, extensive numerical experiments are conducted, and the total cost is compared.

Suggested Citation

  • Kyunghoon Kang & Ki-sung Hong & Ki Hong Kim & Chulung Lee, 2017. "Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management," Sustainability, MDPI, vol. 9(9), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1675-:d:112546
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/9/1675/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/9/1675/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Moon, I.K. & Cha, B.C. & Lee, C.U., 2011. "The joint replenishment and freight consolidation of a warehouse in a supply chain," International Journal of Production Economics, Elsevier, vol. 133(1), pages 344-350, September.
    2. Yeo, Wee Meng & Yuan, Xue-Ming, 2011. "Optimal inventory policy with supply uncertainty and demand cancellation," European Journal of Operational Research, Elsevier, vol. 211(1), pages 26-34, May.
    3. Cetinkaya, Sila & Mutlu, Fatih & Lee, Chung-Yee, 2006. "A comparison of outbound dispatch policies for integrated inventory and transportation decisions," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1094-1112, June.
    4. Shenle Pan & Eric Ballot & Frédéric Fontane, 2013. "The reduction of greenhouse gas emissions from freight transport by pooling supply chains," Post-Print hal-00733678, HAL.
    5. Ülkü, M. Ali & Bookbinder, James H., 2012. "Optimal quoting of delivery time by a third party logistics provider: The impact of shipment consolidation and temporal pricing schemes," European Journal of Operational Research, Elsevier, vol. 221(1), pages 110-117.
    6. Sila Çetinkaya & Chung-Yee Lee, 2000. "Stock Replenishment and Shipment Scheduling for Vendor-Managed Inventory Systems," Management Science, INFORMS, vol. 46(2), pages 217-232, February.
    7. Frank Chen & Tong Wang & Tommy Xu, 2005. "Integrated Inventory Replenishment and Temporal Shipment Consolidation: A Comparison of Quantity-Based and Time-Based Models," Annals of Operations Research, Springer, vol. 135(1), pages 197-210, March.
    8. James K. Higginson & James H. Bookbinder, 1995. "Markovian Decision Processes in Shipment Consolidation," Transportation Science, INFORMS, vol. 29(3), pages 242-255, August.
    9. P-S You, 2003. "Dynamic pricing of inventory with cancellation demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(10), pages 1093-1101, October.
    10. Çetinkaya, SIla & Bookbinder, James H., 2003. "Stochastic models for the dispatch of consolidated shipments," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 747-768, September.
    11. Fatih Mutlu & Sila Çetinkaya & James Bookbinder, 2010. "An analytical model for computing the optimal time-and-quantity-based policy for consolidated shipments," IISE Transactions, Taylor & Francis Journals, vol. 42(5), pages 367-377.
    12. Magali Delmas & Ivan Montiel, 2009. "Greening the Supply Chain: When Is Customer Pressure Effective?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(1), pages 171-201, March.
    13. Pan, Shenle & Ballot, Eric & Fontane, Frédéric, 2013. "The reduction of greenhouse gas emissions from freight transport by pooling supply chains," International Journal of Production Economics, Elsevier, vol. 143(1), pages 86-94.
    14. Hong, Ki-sung & Lee, Chulung, 2013. "Optimal time-based consolidation policy with price sensitive demand," International Journal of Production Economics, Elsevier, vol. 143(2), pages 275-284.
    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. Paulo Rita & Ricardo F. Ramos, 2022. "Global Research Trends in Consumer Behavior and Sustainability in E-Commerce: A Bibliometric Analysis of the Knowledge Structure," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    2. Katherinne Salas-Navarro & Paula Serrano-Pájaro & Holman Ospina-Mateus & Ronald Zamora-Musa, 2022. "Inventory Models in a Sustainable Supply Chain: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(10), pages 1-21, May.

    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. Chen, Jing & Dong, Ming & Xu, Lei, 2018. "A perishable product shipment consolidation model considering freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 56-86.
    2. Sonntag, Danja R. & Schrotenboer, Albert H. & Kiesmüller, Gudrun P., 2023. "Stochastic inventory routing with time-based shipment consolidation," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1186-1201.
    3. Jana Ralfs & Gudrun P. Kiesmüller, 2022. "Inventory management with advance demand information and flexible shipment consolidation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1009-1044, December.
    4. Hong, Ki-sung & Lee, Chulung, 2013. "Optimal time-based consolidation policy with price sensitive demand," International Journal of Production Economics, Elsevier, vol. 143(2), pages 275-284.
    5. Wei, Bo & Çetinkaya, Sıla & Cline, Daren B.H., 2023. "Inbound replenishment and outbound dispatch decisions under hybrid shipment consolidation policies: An analytical model and comparison," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    6. Kang, Jae-Hun & Kim, Yeong-Dae, 2010. "Coordination of inventory and transportation managements in a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 123(1), pages 137-145, January.
    7. Dinçer Konur & Joseph Geunes, 2019. "Integrated districting, fleet composition, and inventory planning for a multi-retailer distribution system," Annals of Operations Research, Springer, vol. 273(1), pages 527-559, February.
    8. Romero-Silva, Rodrigo & Mujica Mota, Miguel, 2022. "Trade-offs in the landside operations of air cargo hubs: Horizontal cooperation and shipment consolidation policies considering capacitated nodes," Journal of Air Transport Management, Elsevier, vol. 103(C).
    9. Stenius, Olof & Marklund, Johan & Axsäter, Sven, 2018. "Sustainable multi-echelon inventory control with shipment consolidation and volume dependent freight costs," European Journal of Operational Research, Elsevier, vol. 267(3), pages 904-916.
    10. E. Ursavas & Stuart X. Zhu, 2018. "Integrated Passenger and Freight Train Planning on Shared-Use Corridors," Service Science, INFORMS, vol. 52(6), pages 1376-1390, December.
    11. Andersson, Jonas & Malmberg, Filip & Marklund, Johan, 2023. "Exact analysis of One-Warehouse-Multiple-Retailer inventory systems with quantity restricted deliveries," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1161-1172.
    12. Satır, Benhür & Erenay, Fatih Safa & Bookbinder, James H., 2018. "Shipment consolidation with two demand classes: Rationing the dispatch capacity," European Journal of Operational Research, Elsevier, vol. 270(1), pages 171-184.
    13. Olof Stenius & Ayşe Gönül Karaarslan & Johan Marklund & A. G. de Kok, 2016. "Exact Analysis of Divergent Inventory Systems with Time-Based Shipment Consolidation and Compound Poisson Demand," Operations Research, INFORMS, vol. 64(4), pages 906-921, August.
    14. Kaya, Onur & Kubalı, Deniz & Örmeci, Lerzan, 2013. "A coordinated production and shipment model in a supply chain," International Journal of Production Economics, Elsevier, vol. 143(1), pages 120-131.
    15. Nguyen, Christine & Dessouky, Maged & Toriello, Alejandro, 2014. "Consolidation strategies for the delivery of perishable products," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 108-121.
    16. Zhang, Wentao & Uhan, Nelson A. & Dessouky, Maged & Toriello, Alejandro, 2018. "Moulin mechanism design for freight consolidation," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 141-162.
    17. Berling, Peter & Eng-Larsson, Fredrik, 2016. "Pricing and timing of consolidated deliveries in the presence of an express alternative: Financial and environmental analysis," European Journal of Operational Research, Elsevier, vol. 250(2), pages 590-601.
    18. Cetinkaya, Sila & Mutlu, Fatih & Lee, Chung-Yee, 2006. "A comparison of outbound dispatch policies for integrated inventory and transportation decisions," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1094-1112, June.
    19. Zhang, Yuankai & Sun, Lijun & Hu, Xiangpei & Zhao, Chen, 2019. "Order consolidation for the last-mile split delivery in online retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 309-327.
    20. Qian Dai & Jiaqi Yang & Dong Li, 2018. "Modeling a Three-Mode Hybrid Port-Hinterland Freight Intermodal Distribution Network with Environmental Consideration: The Case of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 10(9), pages 1-26, August.

    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:gam:jsusta:v:9:y:2017:i:9:p:1675-:d:112546. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.