IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v256y2023ics0925527322003267.html
   My bibliography  Save this article

Designing a new framework agreement in humanitarian logistics based on deprivation cost functions

Author

Listed:
  • Shao, Jianfang
  • Fan, Yu
  • Wang, Xihui
  • Liang, Changyong
  • Liang, Liang

Abstract

In preparation for a potential disaster, it is important to have cooperative relationships in place between relief organizations and businesses. Through a suitable framework agreement (FA), relief organizations can reduce a large amount of the inventory costs and decrease the social costs (i.e., the sum of deprivation costs and logistics costs) associated with their humanitarian operations, while businesses can make more profit. Unfortunately, in China, such cooperation between local authorities and business enterprises is still far from developed, due to the lack of high-quality FA contracts. In this paper, we solve the problem by designing a new FA that has an incentive for both relief organizations and businesses to establish the partnership, leading to a win-win situation. Unlike the widely studied contracts that are based on quantity and corresponding pricing strategies for relief items, the FA designed here incentivizes the delivery time, and encourages faster delivery of relief items, which is also important in mitigating human suffering. We consider the uncertainty of disaster timing and the dynamic relationships between delivery lead times and logistics/deprivation costs, and propose a decision-making process for relief organizations and partner businesses to negotiate and sign the new FA. A case study based on real-world data from a field investigation is conducted to prove the feasibility and effectiveness of our new FA.

Suggested Citation

  • Shao, Jianfang & Fan, Yu & Wang, Xihui & Liang, Changyong & Liang, Liang, 2023. "Designing a new framework agreement in humanitarian logistics based on deprivation cost functions," International Journal of Production Economics, Elsevier, vol. 256(C).
  • Handle: RePEc:eee:proeco:v:256:y:2023:i:c:s0925527322003267
    DOI: 10.1016/j.ijpe.2022.108744
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527322003267
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2022.108744?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. Chong Wang & Xu Chen, 2015. "Optimal ordering policy for a price-setting newsvendor with option contracts under demand uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 53(20), pages 6279-6293, October.
    2. Huang, Kai & Jiang, Yiping & Yuan, Yufei & Zhao, Lindu, 2015. "Modeling multiple humanitarian objectives in emergency response to large-scale disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 1-17.
    3. Tanzid Hasnain & Irem Sengul Orgut & Julie Simmons Ivy, 2021. "Elicitation of Preference among Multiple Criteria in Food Distribution by Food Banks," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4475-4500, December.
    4. Tzeng, Gwo-Hshiung & Cheng, Hsin-Jung & Huang, Tsung Dow, 2007. "Multi-objective optimal planning for designing relief delivery systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 673-686, November.
    5. Shamsi G., N. & Ali Torabi, S. & Shakouri G., H., 2018. "An option contract for vaccine procurement using the SIR epidemic model," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1122-1140.
    6. Salarpour, Mojtaba & Nagurney, Anna, 2021. "A multicountry, multicommodity stochastic game theory network model of competition for medical supplies inspired by the Covid-19 pandemic," International Journal of Production Economics, Elsevier, vol. 236(C).
    7. Yang Liu & Jun Tian & Gengzhong Feng, 2022. "Pre-positioning strategies for relief supplies in a relief supply chain," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(7), pages 1457-1473, July.
    8. Akbarpour, Mina & Ali Torabi, S. & Ghavamifar, Ali, 2020. "Designing an integrated pharmaceutical relief chain network under demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    9. Vafa Arani, Hamed & Rabbani, Masoud & Rafiei, Hamed, 2016. "A revenue-sharing option contract toward coordination of supply chains," International Journal of Production Economics, Elsevier, vol. 178(C), pages 42-56.
    10. de la Torre, Luis E. & Dolinskaya, Irina S. & Smilowitz, Karen R., 2012. "Disaster relief routing: Integrating research and practice," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 88-97.
    11. Aghajani, Mojtaba & Torabi, S. Ali & Heydari, Jafar, 2020. "A novel option contract integrated with supplier selection and inventory prepositioning for humanitarian relief supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    12. Xihui Wang & Xiang Wang & Liang Liang & Xiaohang Yue & Luk N. Van Wassenhove, 2017. "Estimation of Deprivation Level Functions using a Numerical Rating Scale," Production and Operations Management, Production and Operations Management Society, vol. 26(11), pages 2137-2150, November.
    13. Hu, Shaolong & Dong, Zhijie Sasha, 2019. "Supplier selection and pre-positioning strategy in humanitarian relief," Omega, Elsevier, vol. 83(C), pages 287-298.
    14. Lin, Yen-Hung & Batta, Rajan & Rogerson, Peter A. & Blatt, Alan & Flanigan, Marie, 2011. "A logistics model for emergency supply of critical items in the aftermath of a disaster," Socio-Economic Planning Sciences, Elsevier, vol. 45(4), pages 132-145, December.
    15. Sheu, Jiuh-Biing & Pan, Cheng, 2014. "A method for designing centralized emergency supply network to respond to large-scale natural disasters," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 284-305.
    16. Xihui Wang & Yu Fan & Liang Liang & Harwin De Vries & Luk N. Van Wassenhove, 2019. "Augmenting Fixed Framework Agreements in Humanitarian Logistics with a Bonus Contract," Production and Operations Management, Production and Operations Management Society, vol. 28(8), pages 1921-1938, August.
    17. Macea, Luis F. & Cantillo, Victor & Arellana, Julian, 2018. "Influence of attitudes and perceptions on deprivation cost functions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 125-141.
    18. Cantillo, Victor & Serrano, Iván & Macea, Luis F. & Holguín-Veras, José, 2018. "Discrete choice approach for assessing deprivation cost in humanitarian relief operations," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 33-46.
    19. Liang, Liang & Wang, Xihui & Gao, Jianguo, 2012. "An option contract pricing model of relief material supply chain," Omega, Elsevier, vol. 40(5), pages 594-600.
    20. Anna Nagurney & Mojtaba Salarpour & June Dong & Pritha Dutta, 2021. "Competition for Medical Supplies Under Stochastic Demand in the Covid-19 Pandemic: A Generalized Nash Equilibrium Framework," Springer Optimization and Its Applications, in: Themistocles M. Rassias & Panos M. Pardalos (ed.), Nonlinear Analysis and Global Optimization, pages 331-356, Springer.
    21. Burcu Balcik & Deniz Ak, 2014. "Supplier Selection for Framework Agreements in Humanitarian Relief," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1028-1041, June.
    22. Moreno, Alfredo & Alem, Douglas & Ferreira, Deisemara & Clark, Alistair, 2018. "An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1050-1071.
    23. Moshtari, Mohammad & Altay, Nezih & Heikkilä, Jussi & Gonçalves, Paulo, 2021. "Procurement in humanitarian organizations: Body of knowledge and practitioner's challenges," International Journal of Production Economics, Elsevier, vol. 233(C).
    24. Ann Melissa Campbell & Dieter Vandenbussche & William Hermann, 2008. "Routing for Relief Efforts," Transportation Science, INFORMS, vol. 42(2), pages 127-145, May.
    25. Gossler, Timo & Wakolbinger, Tina & Nagurney, Anna & Daniele, Patrizia, 2019. "How to increase the impact of disaster relief: A study of transportation rates, framework agreements and product distribution," European Journal of Operational Research, Elsevier, vol. 274(1), pages 126-141.
    26. Wang, Xihui & Li, Feng & Liang, Liang & Huang, Zhimin & Ashley, Allan, 2015. "Pre-purchasing with option contract and coordination in a relief supply chain," International Journal of Production Economics, Elsevier, vol. 167(C), pages 170-176.
    27. Anna Nagurney & Patrizia Daniele & Emilio Alvarez Flores & Valeria Caruso, 2018. "A Variational Equilibrium Network Framework for Humanitarian Organizations in Disaster Relief: Effective Product Delivery Under Competition for Financial Funds," Springer Optimization and Its Applications, in: Ilias S. Kotsireas & Anna Nagurney & Panos M. Pardalos (ed.), Dynamics of Disasters, pages 109-133, Springer.
    28. Nagurney, Anna & Flores, Emilio Alvarez & Soylu, Ceren, 2016. "A Generalized Nash Equilibrium network model for post-disaster humanitarian relief," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 1-18.
    29. Ali Torabi, S. & Shokr, Iman & Tofighi, Saeideh & Heydari, Jafar, 2018. "Integrated relief pre-positioning and procurement planning in humanitarian supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 123-146.
    30. Nagurney, Anna & Salarpour, Mojtaba & Daniele, Patrizia, 2019. "An integrated financial and logistical game theory model for humanitarian organizations with purchasing costs, multiple freight service providers, and budget, capacity, and demand constraints," International Journal of Production Economics, Elsevier, vol. 212(C), pages 212-226.
    31. Jafar Namdar & Xueping Li & Rupy Sawhney & Ninad Pradhan, 2018. "Supply chain resilience for single and multiple sourcing in the presence of disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(6), pages 2339-2360, March.
    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. Fan, Yu & Shao, Jianfang & Wang, Xihui, 2023. "Relief items procurement and delivery through cooperation with suppliers and logistics companies considering budget constraints," International Journal of Production Economics, Elsevier, vol. 264(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. Fan, Yu & Shao, Jianfang & Wang, Xihui, 2023. "Relief items procurement and delivery through cooperation with suppliers and logistics companies considering budget constraints," International Journal of Production Economics, Elsevier, vol. 264(C).
    2. Guo, Penghui & Zhu, Jianjun, 2023. "Capacity reservation for humanitarian relief: A logic-based Benders decomposition method with subgradient cut," European Journal of Operational Research, Elsevier, vol. 311(3), pages 942-970.
    3. Aghajani, Mojtaba & Ali Torabi, S. & Altay, Nezih, 2023. "Resilient relief supply planning using an integrated procurement-warehousing model under supply disruption," Omega, Elsevier, vol. 118(C).
    4. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    5. Ghavamifar, Ali & Torabi, S. Ali & Moshtari, Mohammad, 2022. "A hybrid relief procurement contract for humanitarian logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    6. Aghajani, Mojtaba & Torabi, S. Ali & Heydari, Jafar, 2020. "A novel option contract integrated with supplier selection and inventory prepositioning for humanitarian relief supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    7. Chen, Yingzhen & Zhao, Qiuhong & Huang, Kai & Xi, Xunzhuo, 2022. "A Bi-objective optimization model for contract design of humanitarian relief goods procurement considering extreme disasters," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    8. Lijo John & Anand Gurumurthy & Arqum Mateen & Gopalakrishnan Narayanamurthy, 2022. "Improving the coordination in the humanitarian supply chain: exploring the role of options contract," Annals of Operations Research, Springer, vol. 319(1), pages 15-40, December.
    9. Oscar Rodríguez-Espíndola, 2023. "Two-stage stochastic formulation for relief operations with multiple agencies in simultaneous disasters," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 477-523, June.
    10. Moshtari, Mohammad & Altay, Nezih & Heikkilä, Jussi & Gonçalves, Paulo, 2021. "Procurement in humanitarian organizations: Body of knowledge and practitioner's challenges," International Journal of Production Economics, Elsevier, vol. 233(C).
    11. Lijo John & Anand Gurumurthy, 2022. "Are quantity flexibility contracts with discounts in the presence of spot market procurement relevant for the humanitarian supply chain? An exploration," Annals of Operations Research, Springer, vol. 315(2), pages 1775-1802, August.
    12. Hu, Shaolong & Dong, Zhijie Sasha & Lev, Benjamin, 2022. "Supplier selection in disaster operations management: Review and research gap identification," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    13. Kundu, Tanmoy & Sheu, Jiuh-Biing & Kuo, Hsin-Tsz, 2022. "Emergency logistics management—Review and propositions for future research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    14. Akbarpour, Mina & Ali Torabi, S. & Ghavamifar, Ali, 2020. "Designing an integrated pharmaceutical relief chain network under demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    15. Wang, Duo & Yang, Kai & Yang, Lixing & Dong, Jianjun, 2023. "Two-stage distributionally robust optimization for disaster relief logistics under option contract and demand ambiguity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    16. Gossler, Timo & Wakolbinger, Tina & Nagurney, Anna & Daniele, Patrizia, 2019. "How to increase the impact of disaster relief: A study of transportation rates, framework agreements and product distribution," European Journal of Operational Research, Elsevier, vol. 274(1), pages 126-141.
    17. Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency relief routing models for injured victims considering equity and priority," Annals of Operations Research, Springer, vol. 283(1), pages 1573-1606, December.
    18. Zhang, Meng & Kong, Zhaojun, 2023. "A two-phase combinatorial double auction and negotiation mechanism for socialized joint reserve mode in emergency preparedness," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    19. Meng, Qingchun & Kao, Zhiping & Guo, Ying & Bao, Chunbing, 2023. "An emergency supplies procurement strategy based on a bidirectional option contract," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    20. Timperio, Giuseppe & Kundu, Tanmoy & Klumpp, Matthias & de Souza, Robert & Loh, Xiu Hui & Goh, Kelvin, 2022. "Beneficiary-centric decision support framework for enhanced resource coordination in humanitarian logistics: A case study from ASEAN," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).

    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:proeco:v:256:y:2023:i:c:s0925527322003267. 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/locate/ijpe .

    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.