IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1375-d733866.html
   My bibliography  Save this article

Optimization of Capacity Allocation Models with Effort Dependent Demand in Global Supply Chain

Author

Listed:
  • Seungbeom Kim

    (College of Business Administration, Hongik University, Seoul 04066, Korea)

  • Kwanghun Chung

    (College of Business Administration, Hongik University, Seoul 04066, Korea)

Abstract

In a demand driven market, optimal allocation of capacity to the demand has been one of the major issues. In this paper, we consider a single global freight firm allocating its capacity to its own regional sales offices. The firm sells cargo space based on two types of contracts: long-term and spot sales. Regional sales offices utilize their effort to generate more demand in their designated region. In other words, it is assumed that the demand is dependent on their efforts. First, we find a closed-form solution for the optimal level of the efforts of a single sales office in a specific region. Then, we study the case when the firm allocates its limited total capacity to two sales offices. We investigate different methods of capacity allocation: decentralization, centralization, and mixed, by conducting numerical studies. Different from the traditional finding, we suggest that the decentralization method is not always dominated by the centralization method.

Suggested Citation

  • Seungbeom Kim & Kwanghun Chung, 2022. "Optimization of Capacity Allocation Models with Effort Dependent Demand in Global Supply Chain," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1375-:d:733866
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1375/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1375/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Crainic, Teodor Gabriel & Perboli, Guido & Rosano, Mariangela, 2018. "Simulation of intermodal freight transportation systems: a taxonomy," European Journal of Operational Research, Elsevier, vol. 270(2), pages 401-418.
    2. Meiqin Suo & Feng Xia & Yurui Fan, 2022. "A Fuzzy-Interval Dynamic Optimization Model for Regional Water Resources Allocation under Uncertainty," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
    3. Gérard P. Cachon & Martin A. Lariviere, 1999. "Capacity Choice and Allocation: Strategic Behavior and Supply Chain Performance," Management Science, INFORMS, vol. 45(8), pages 1091-1108, August.
    4. Hua Xing & Shuhong Mo & Xiaoyan Liang & Ying Li, 2021. "Water Resources Allocation Based on Complex Adaptive System Theory in the Inland River Irrigation District," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    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. Elena N. Shaforostova & Olga V. Kosareva-Volod’ko & Olga V. Belyankina & Danila Y. Solovykh & Ekaterina S. Sazankova & Elena I. Sizova & Danila A. Adigamov, 2023. "A Tailing Dump as Industrial Deposit; Study of the Mineralogical Composition of Tailing Dump of the Southern Urals and the Possibility of Tailings Re-Development," Resources, MDPI, vol. 12(2), pages 1-13, February.

    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. Erlanson, Albin & Szwagrzak, Karol, 2013. "Strategy-Proof Package Assignment," Working Papers 2013:43, Lund University, Department of Economics.
    2. Geng, Qin & Mallik, Suman, 2007. "Inventory competition and allocation in a multi-channel distribution system," European Journal of Operational Research, Elsevier, vol. 182(2), pages 704-729, October.
    3. Cai, W. & Singham, D.I., 2018. "A principal–agent problem with heterogeneous demand distributions for a carbon capture and storage system," European Journal of Operational Research, Elsevier, vol. 264(1), pages 239-256.
    4. Panagiotis Ypsilantis & Rob Zuidwijk, 2019. "Collaborative Fleet Deployment and Routing for Sustainable Transport," Sustainability, MDPI, vol. 11(20), pages 1-26, October.
    5. İsmail Bakal & Nesim Erkip & Refik Güllü, 2011. "Value of supplier’s capacity information in a two-echelon supply chain," Annals of Operations Research, Springer, vol. 191(1), pages 115-135, November.
    6. Li, Zhaojin & Liu, Ya & Yang, Zhen, 2021. "An effective kernel search and dynamic programming hybrid heuristic for a multimodal transportation planning problem with order consolidation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    7. Qian Duan & Xin Ye & Jian Li & Ke Wang, 2020. "Empirical Modeling Analysis of Potential Commute Demand for Carsharing in Shanghai, China," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    8. ElHafsi, Mohsen & Camus, Herve & Craye, Etienne, 2010. "Managing an integrated production inventory system with information on the production and demand status and multiple non-unitary demand classes," European Journal of Operational Research, Elsevier, vol. 207(2), pages 986-1001, December.
    9. Jiang, Xiaodan & Fan, Houming & Luo, Meifeng & Xu, Zhenlin, 2020. "Strategic port competition in multimodal network development considering shippers’ choice," Transport Policy, Elsevier, vol. 90(C), pages 68-89.
    10. Gudmundsson, Jens & Hougaard, Jens Leth & Platz, Trine Tornøe, 2023. "Decentralized task coordination," European Journal of Operational Research, Elsevier, vol. 304(2), pages 851-864.
    11. Gohari, Adel & Ahmad, Anuar Bin & Balasbaneh, Ali Tighnavard & Gohari, Ali & Hasan, Razi & Sholagberu, Abdulkadir Taofeeq, 2022. "Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies," Transport Policy, Elsevier, vol. 121(C), pages 46-60.
    12. Sang-Hyun Kim & Brian Tomlin, 2013. "Guilt by Association: Strategic Failure Prevention and Recovery Capacity Investments," Management Science, INFORMS, vol. 59(7), pages 1631-1649, July.
    13. Wang, Zhenjie & Zhang, Dezhi & Tavasszy, Lóránt & Fazi, Stefano, 2023. "Integrated multimodal freight service network design and pricing with a competing service integrator and heterogeneous shipper classes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    14. H. Neil Geismar & Yiwei Huang & Suresh D. Pillai & Chelliah Sriskandarajah & Seokjun Youn, 2020. "Location‐Routing with Conflicting Objectives: Coordinating eBeam Phytosanitary Treatment and Distribution of Mexican Import Commodities," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1506-1531, June.
    15. Elizabeth J. Durango‐Cohen & Liad Wagman, 2014. "Strategic obfuscation of production capacities," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(3), pages 244-267, April.
    16. Leon Yang Chu & Noam Shamir & Hyoduk Shin, 2017. "Strategic Communication for Capacity Alignment with Pricing in a Supply Chain," Management Science, INFORMS, vol. 63(12), pages 4366-4377, December.
    17. Li, Siqiao & Zhu, Xiaoning & Shang, Pan & Li, Tianqi & Liu, Wenqian, 2023. "Optimizing a shared freight and passenger high-speed railway system: A multi-commodity flow formulation with Benders decomposition solution approach," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 1-31.
    18. Soo-Haeng Cho & Christopher S. Tang, 2014. "Technical Note---Capacity Allocation Under Retail Competition: Uniform and Competitive Allocations," Operations Research, INFORMS, vol. 62(1), pages 72-80, February.
    19. Marzena Kramarz & Edyta Przybylska, 2021. "Maturity of Polish Rail Intermodal Transport as Compared to Selected EU Countries: A Comparative Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 202-217.
    20. Montrucchio, Luigi & Scarsini, Marco, 2007. "Large newsvendor games," Games and Economic Behavior, Elsevier, vol. 58(2), pages 316-337, February.

    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:14:y:2022:i:3:p:1375-:d:733866. 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.