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Framework proposal to support the suppliers’ selection of Humanitarian assistance items: a Flood Case Study in Brazil

Author

Listed:
  • Fabiana Santos Lima

    (Federal University of Santa Catarina (UFSC))

  • Ricardo Villarroel Dávalos

    (Federal University of Santa Catarina (UFSC))

  • Lucila M. S. Campos

    (Federal University of Santa Catarina (UFSC))

  • Andréa Cristina Trierweiller

    (Federal University of Santa Catarina (UFSC))

Abstract

Humanitarian Logistics (HL) is comprised of processes and involved systems in the mobilization of people, resources, and knowledge to help affected communities when they are faced with natural disasters. In this study, the Reference Task Model (RTM) provides an overview of these processes and supports Business Process Management (BPM). This article aims to evaluate from a proposed framework the selection of suppliers to guarantee indispensable material resources in the fastest way. We apply a BPM procedure to support the supplier selection process following a flood disaster. We describe each of the stages that make up the proposal of the BPM life cycle applied to the HL. We employ some tools as Balanced Scorecard (BSC) to achieve consensus on objectives, indicators, targets, and actions to be defined for a disaster situation. For balancing the allocation of supplies, the network flow problem is adapted for the quantitative model. That model contains the variables of time, demand, and capacity, and includes the set of adequate suppliers. For the application, we describe a flood disaster case study from a state located in southern Brazil. The main results of the application of the proposed framework are obtained from an optimized holistic view; they represent the selection of suppliers of humanitarian items and consider delivery times, resources, and deprivation costs. One contribution of the proposed framework is the ease of its implementation from process-based technologies and its emphasis on being strategy focused. Further, it concentrates experiences and good practices from humanitarian organizations.

Suggested Citation

  • Fabiana Santos Lima & Ricardo Villarroel Dávalos & Lucila M. S. Campos & Andréa Cristina Trierweiller, 2022. "Framework proposal to support the suppliers’ selection of Humanitarian assistance items: a Flood Case Study in Brazil," Annals of Operations Research, Springer, vol. 315(1), pages 317-340, August.
  • Handle: RePEc:spr:annopr:v:315:y:2022:i:1:d:10.1007_s10479-022-04617-3
    DOI: 10.1007/s10479-022-04617-3
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    References listed on IDEAS

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    1. Jimoh Eniola Olaogbebikan & Richard Oloruntoba, 2019. "Similarities between disaster supply chains and commercial supply chains: a SCM process view," Annals of Operations Research, Springer, vol. 283(1), pages 517-542, December.
    2. 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.
    3. Kasin Ransikarbum & Scott J. Mason, 2016. "Multiple-objective analysis of integrated relief supply and network restoration in humanitarian logistics operations," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 49-68, January.
    4. Linlin Zhang & Na Cui, 2021. "Pre-Positioning Facility Location and Resource Allocation in Humanitarian Relief Operations Considering Deprivation Costs," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    5. Kınay, Ömer Burak & Yetis Kara, Bahar & Saldanha-da-Gama, Francisco & Correia, Isabel, 2018. "Modeling the shelter site location problem using chance constraints: A case study for Istanbul," European Journal of Operational Research, Elsevier, vol. 270(1), pages 132-145.
    6. Muhammad Salman Habib & Biswajit Sarkar, 2017. "An Integrated Location-Allocation Model for Temporary Disaster Debris Management under an Uncertain Environment," Sustainability, MDPI, vol. 9(5), pages 1-26, April.
    7. Ransikarbum, Kasin & Mason, Scott J., 2016. "Goal programming-based post-disaster decision making for integrated relief distribution and early-stage network restoration," International Journal of Production Economics, Elsevier, vol. 182(C), pages 324-341.
    8. Sumeet Gupta & B. S. Sahay & Parikshit Charan, 2016. "Relief Network Model for Efficient Disaster Management and Disaster Recovery," Springer Proceedings in Business and Economics, in: B.S. Sahay & Sumeet Gupta & Vinod Chandra Menon (ed.), Managing Humanitarian Logistics, edition 1, chapter 0, pages 85-104, Springer.
    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. Charbel José Chiappetta Jabbour & Vinicius Amorim Sobreiro & Ana Beatriz Lopes de Sousa Jabbour & Lucila Maria Souza Campos & Enzo Barberio Mariano & Douglas William Scott Renwick, 2019. "An analysis of the literature on humanitarian logistics and supply chain management: paving the way for future studies," Annals of Operations Research, Springer, vol. 283(1), pages 289-307, December.
    11. Jesus Gonzalez-Feliu & Mario Chong & Jorge Vargas-Florez & Irineu de Brito & Carlos Osorio-Ramirez & Eric Piatyszek & Renato Quiliche Altamirano, 2020. "The Maturity of Humanitarian Logistics against Recurrent Crises," Social Sciences, MDPI, vol. 9(6), pages 1-22, May.
    12. Kirac, Emre & Milburn, Ashlea Bennett, 2018. "A general framework for assessing the value of social data for disaster response logistics planning," European Journal of Operational Research, Elsevier, vol. 269(2), pages 486-500.
    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. G Barbarosoǧlu & Y Arda, 2004. "A two-stage stochastic programming framework for transportation planning in disaster response," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 43-53, January.
    15. Hasani, Aliakbar & Mokhtari, Hadi, 2018. "Redesign strategies of a comprehensive robust relief network for disaster management," Socio-Economic Planning Sciences, Elsevier, vol. 64(C), pages 92-102.
    16. Seongtae Kim & M. Ramkumar & Nachiappan Subramanian, 2019. "Logistics service provider selection for disaster preparation: a socio-technical systems perspective," Annals of Operations Research, Springer, vol. 283(1), pages 1259-1282, December.
    17. 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.
    18. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    19. 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.
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