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Beneficiary-centric decision support framework for enhanced resource coordination in humanitarian logistics: A case study from ASEAN

Author

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  • Timperio, Giuseppe
  • Kundu, Tanmoy
  • Klumpp, Matthias
  • de Souza, Robert
  • Loh, Xiu Hui
  • Goh, Kelvin

Abstract

The growing frequency, impact, and complexity of natural- and human-made- disasters have resulted in an increased attention toward humanitarian logistics management practices. With most disasters having a global scale due to the high level of interconnectedness between supply chains, the adequate provision of humanitarian assistance through streamlined logistics systems has become paramount. Correspondingly, the traditional organization- and execution-centric approaches are no longer sufficient, and greater attention to beneficiary- and ecosystem-centric supply chain networks with equal emphasis on planning and execution are necessary. Accordingly, this work proposes a multi-method decision support framework to analyze, visualize, optimize, and simulate supply networks to address the key challenge of resource coordination in disaster response operations. A real-world application to the Disaster Emergency Logistics System for ASEAN (DELSA), the network of pre-positioned stockpiles managed by the ASEAN Humanitarian Agency in ASEAN, is also presented. Results of the analyses show that with the introduction of inventory management policies with safety stock, the DELSA network improves its performance in service level by +41%. Unlike the current practice where inventory decisions are, in most cases, supply-and funds-driven, the findings of this work bring about a paradigm shift for beneficiary-centric policies. More importantly, the analyses of this study could generate practical insights for proper humanitarian logistics planning not only in ASEAN but throughout the world.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:transe:v:167:y:2022:i:c:s1366554522002861
    DOI: 10.1016/j.tre.2022.102909
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    References listed on IDEAS

    as
    1. Lu (Lucy) Yan & Alfonso J. Pedraza‐Martinez, 2019. "Social Media for Disaster Management: Operational Value of the Social Conversation," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2514-2532, October.
    2. Korpela, Jukka & Tuominen, Markku, 1996. "A decision aid in warehouse site selection," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 169-180, August.
    3. Wang, Jing & Cai, Jianping & Yue, Xiaohang & Suresh, Nallan C., 2021. "Pre-positioning and real-time disaster response operations: Optimization with mobile phone location data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    4. Sun, Huali & Li, Jiamei & Wang, Tingsong & Xue, Yaofeng, 2022. "A novel scenario-based robust bi-objective optimization model for humanitarian logistics network under risk of disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    5. 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.
    6. Junfeng Tian & Jinfeng Yue, 2014. "Bounds of Relative Regret Limit in p-Robust Supply Chain Network Design," Production and Operations Management, Production and Operations Management Society, vol. 23(10), pages 1811-1831, October.
    7. Giuseppe Timperio & Sunil Tiwari & José Manuel Gaspar Sánchez & Rafael Adrián García Martín & Robert de Souza, 2020. "Integrated decision support framework for distribution network design," International Journal of Production Research, Taylor & Francis Journals, vol. 58(8), pages 2490-2509, April.
    8. Paul, Jomon Aliyas & MacDonald, Leo, 2016. "Location and capacity allocations decisions to mitigate the impacts of unexpected disasters," European Journal of Operational Research, Elsevier, vol. 251(1), pages 252-263.
    9. Sushil Gupta & Martin K. Starr & Reza Zanjirani Farahani & Niki Matinrad, 2016. "Disaster Management from a POM Perspective: Mapping a New Domain," Production and Operations Management, Production and Operations Management Society, vol. 25(10), pages 1611-1637, October.
    10. Tina Comes & Bartel Van de Walle & Luk Van Wassenhove, 2020. "The Coordination‐Information Bubble in Humanitarian Response: Theoretical Foundations and Empirical Investigations," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2484-2507, November.
    11. Yusen Ye & Wen Jiao & Hong Yan, 2020. "Managing Relief Inventories Responding to Natural Disasters: Gaps Between Practice and Literature," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 807-832, April.
    12. Li, Yuchen & Zhang, Jianghua & Yu, Guodong, 2020. "A scenario-based hybrid robust and stochastic approach for joint planning of relief logistics and casualty distribution considering secondary disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    13. Dmitry Ivanov, 2017. "Simulation-based ripple effect modelling in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2083-2101, April.
    14. Zhou, Yaoming & Kundu, Tanmoy & Goh, Mark & Sheu, Jiuh-Biing, 2021. "Multimodal transportation network centrality analysis for Belt and Road Initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    15. Mojtaba Salem & Niels Van Quaquebeke & Maria Besiou & Louisa Meyer, 2019. "Intergroup Leadership: How Leaders Can Enhance Performance of Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 28(11), pages 2877-2897, November.
    16. Mahyar Eftekhar & Andrea Masini & A. Robotis & Luk van Wassenhove, 2014. "Vehicle Procurement Policy for Humanitarian Development Programs," Post-Print hal-01066490, HAL.
    17. Liu, Kanglin & Zhang, Hengliang & Zhang, Zhi-Hai, 2021. "The efficiency, equity and effectiveness of location strategies in humanitarian logistics: A robust chance-constrained approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    18. Iana Shaheen & Arash Azadegan, 2020. "Friends or Colleagues? Communal and Exchange Relationships During stages of Humanitarian Relief," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2828-2850, December.
    19. 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.
    20. Claudia Paciarotti & Inna Valiakhmetova, 2021. "Evaluating Disaster Operations Management: An Outcome‐Process Integrated Approach," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 543-562, February.
    21. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    22. Campbell, Ann Melissa & Jones, Philip C., 2011. "Prepositioning supplies in preparation for disasters," European Journal of Operational Research, Elsevier, vol. 209(2), pages 156-165, March.
    23. Balcik, Burcu & Beamon, Benita M. & Krejci, Caroline C. & Muramatsu, Kyle M. & Ramirez, Magaly, 2010. "Coordination in humanitarian relief chains: Practices, challenges and opportunities," International Journal of Production Economics, Elsevier, vol. 126(1), pages 22-34, July.
    24. Shu, Jia & Lv, Wenya & Na, Qing, 2021. "Humanitarian relief supply network design: Expander graph based approach and a case study of 2013 Flood in Northeast China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    25. Ahmadi, Morteza & Seifi, Abbas & Tootooni, Behnam, 2015. "A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 145-163.
    26. Zhang, Guowei & Zhu, Ning & Ma, Shoufeng & Xia, Jun, 2021. "Humanitarian relief network assessment using collaborative truck-and-drone system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    27. Sheu, Jiuh-Biing, 2007. "Challenges of emergency logistics management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 655-659, November.
    28. Davis, Lauren B. & Samanlioglu, Funda & Qu, Xiuli & Root, Sarah, 2013. "Inventory planning and coordination in disaster relief efforts," International Journal of Production Economics, Elsevier, vol. 141(2), pages 561-573.
    29. Francas, David & Kremer, Mirko & Minner, Stefan & Friese, Markus, 2009. "Strategic process flexibility under lifecycle demand," International Journal of Production Economics, Elsevier, vol. 121(2), pages 427-440, October.
    30. Cook, Robert A. & Lodree, Emmett J., 2017. "Dispatching policies for last-mile distribution with stochastic supply and demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 353-371.
    31. 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).
    32. Aurelie Charles & Matthieu Lauras, 2011. "An enterprise modelling approach for better optimisation modelling: application to the humanitarian relief chain coordination problem," Post-Print hal-01685415, HAL.
    33. Zhou, Yaoming & Kundu, Tanmoy & Qin, Wei & Goh, Mark & Sheu, Jiuh-Biing, 2021. "Vulnerability of the worldwide air transportation network to global catastrophes such as COVID-19," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    34. Sheu, Jiuh-Biing, 2010. "Dynamic relief-demand management for emergency logistics operations under large-scale disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 1-17, January.
    35. Eghbal Akhlaghi, Vahid & Campbell, Ann Melissa & de Matta, Renato E., 2021. "Fuel distribution planning for disasters: Models and case study for Puerto Rico," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    36. Wang, Wei & Wu, Shining & Wang, Shuaian & Zhen, Lu & Qu, Xiaobo, 2021. "Emergency facility location problems in logistics: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    37. Nicolas Regnault & Yuanfeng Xu & Ming-Rui Li & Da-Shuai Ma & Milena Jovanovic & Ali Yazdani & Stuart S. P. Parkin & Claudia Felser & Leslie M. Schoop & N. Phuan Ong & Robert J. Cava & Luis Elcoro & Zh, 2022. "Catalogue of flat-band stoichiometric materials," Nature, Nature, vol. 603(7903), pages 824-828, March.
    38. 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).
    39. Galindo, Gina & Batta, Rajan, 2013. "Review of recent developments in OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 230(2), pages 201-211.
    40. Ulusan, Aybike & Ergun, Özlem, 2021. "Approximate dynamic programming for network recovery problems with stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    41. Nihan Kabadayi & Mohammad Dehghanimohammadabadi, 2022. "Multi-objective supplier selection process: a simulation–optimization framework integrated with MCDM," Annals of Operations Research, Springer, vol. 319(2), pages 1607-1629, December.
    42. 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.
    43. 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.
    44. Mohammad Moshtari, 2016. "Inter-Organizational Fit, Relationship Management Capability, and Collaborative Performance within a Humanitarian Setting," Production and Operations Management, Production and Operations Management Society, vol. 25(9), pages 1542-1557, September.
    45. ManMohan S. Sodhi & James Knuckles, 2021. "Development‐Aid Supply Chains for Economic Development and Post‐Disaster Recovery," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4412-4434, December.
    46. Mahyar Eftekhar & Andrea Masini & Andreas Robotis & Luk N. Van Wassenhove, 2014. "Vehicle Procurement Policy for Humanitarian Development Programs," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 951-964, June.
    47. Sheu, Jiuh-Biing, 2016. "Supplier hoarding, government intervention, and timing for post-disaster crop supply chain recovery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 134-160.
    48. Alem, Douglas & Clark, Alistair & Moreno, Alfredo, 2016. "Stochastic network models for logistics planning in disaster relief," European Journal of Operational Research, Elsevier, vol. 255(1), pages 187-206.
    49. Mark Horner & Michael Widener, 2011. "The effects of transportation network failure on people’s accessibility to hurricane disaster relief goods: a modeling approach and application to a Florida case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1619-1634, December.
    50. Roh, Saeyeon & Pettit, Stephen & Harris, Irina & Beresford, Anthony, 2015. "The pre-positioning of warehouses at regional and local levels for a humanitarian relief organisation," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 616-628.
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