Efficient stockpiling and shipping policies for humanitarian relief: UNHCR’s inventory challenge

McCoy, Jessica H.; Brandeau, Margaret L.

doi:10.1007/s00291-011-0237-4

Cited by 26 publications

(17 citation statements)

References 18 publications

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“…Natural disaster Jahre & Heigh, 2008;McLachlin et al 2009;Charles, 2010;Gatignon et al 2010;Jahre & Jensen, 2010;Oloruntoba, 2010;Duran et al 2011;Pedraza Martinez et al 2011;Cozzolino et al 2012;Pedraza Martinez & Van Wassenhove, 2013;Buddas, 2014;Ergun et al 2014;Scholten et al 2014;Gralla et al 2015;Jahre & Fabbe-Costes, 2015;Stauffer et al 2015;War/terrorism Listou, 2008McLachlin et al 2009;Choi et al 2010;Jahre & Jensen, 2010;McCoy et al 2011;Pedraza Martinez et al 2011;Cozzolino et al 2012;Pedraza Martinez & Van Wassenhove, 2013;Besiou et al 2014;Buddas, 2014;Eftekhar et al 2014;Gralla et al 2015;Kunz et al 2015 Jahre & Heigh, 2008;Listou, 2008;Charles, 2010;Gatignon et al 2010;Duran et al 2011 ;Pedraza Martinez et al 2011;Besiou et al 2014;Buddas, 2014;Gralla et al 2015;Gralla et al 2015;Jahre & Fabbe-Costes, 2015;Stauffer et al 2015;Jahre et al 2016 Manufacturing risk factors Supply ris...…”

Section: Type Of Risk Reference Abnormalunclassified

Humanitarian supply chain strategies – a review of how actors mitigate supply chain risks

Jahre

2017

JHLSCM

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Purpose of this paper This paper links humanitarian logistics (HL) and supply chain risk management (SCRM) to provide an understanding of risk mitigation strategies that humanitarian organizations use, or could use, to improve their logistics preparedness. Design/methodology/approachBased on systematic reviews of strategies in SCRM and supply chain strategies (SCS) in HL literature, a framework is developed and used to review published case studies in HL. FindingsThe study finds that humanitarian actors use a number of the strategies proposed in the framework, particularly those related to strategic stocks, postponement, and collaboration. Strategies related to sourcing and procurement, however, especially those on supplier relationships, seem to be lacking in both research and practice. Research limitationsThe study is based on secondary data and could be further developed through case studies based on primary data. Future studies should explore the generalizability of the findings. Practical implicationsPractitioners can use the framework to identify potential new SCS and how strategies can be combined. Findings can help them to understand the abnormal risks of main concern, how they may impact normal risks, and provide ideas on how to tackle trade-offs between different risks. Societal implicationsThe results can support improvements in humanitarian supply chains, which will provide affected people with rapid, cost-efficient, and better-adapted responses.What is original/value of paper The paper connects SCRM and HL to develop a framework and suggest propositions on how humanitarian actors can mitigate supply chain risks. Questioning the focus on strategic stock it suggests complementary or alternative strategies for improving logistics preparedness.

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Section: Type Of Risk Reference Abnormalunclassified

Humanitarian supply chain strategies – a review of how actors mitigate supply chain risks

Jahre

2017

JHLSCM

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“…Duran et al (2011) focus on designing a global prepositioning network for CARE International. McCoy and Brandeau (2011) develop stockpiling and shipping policies for the United Nations High Commissioner for Refugees (UNHCR) to support internally displaced people. Jahre et al (2016) also focus on the UNHCR and present a prepositioning model that integrates short-term emergency response and longer term development operations.…”

Section: Prepositioning Network Designmentioning

confidence: 99%

Collaborative Prepositioning Network Design for Regional Disaster Response

Balcik

Silvestri

Rancourt

et al. 2019

Production and Operations Management

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We present a collaborative prepositioning strategy to strengthen the disaster preparedness of the Caribbean countries, which are frequently hit by hurricanes. Since different subsets of countries are affected in each hurricane season, significant risk pooling benefits can be achieved through horizontal collaboration, which involves joint ownership of prepositioned stocks. We worked with the intergovernmental Caribbean Disaster and Emergency Management Agency to design a collaborative prepositioning network in order to improve regional response capacity. We propose a novel insurance‐based method to allocate the costs incurred to establish and operate the proposed collaborative prepositioning network among the partner countries. We present a stochastic programming model, which determines the locations and amounts of relief supplies to store, as well as the investment to be made by each country such that their premium is related to the cost associated with the expected value and the standard deviation of their demand. We develop a realistic data set for the network by processing real‐world data. We conduct extensive numerical analyses and present insights that support practical implementation. We show that a significant reduction in total inventory can be achieved by applying collaborative prepositioning as opposed to a decentralized policy. Our results also demonstrate that reducing the replenishment lead time during the hurricane season and improving sea connectivity are essential to increasing the benefits resulting from the network.

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“…(2012) divided the literature into two main categories, namely, facility location and relief distribution. Our research falls under the former category, which can be subdivided into pure location models (e.g., Jia et al., 2007), inventory models (e.g., Campbell and Jones, 2011) and models, which, similar to our approach, combine the location problem with the amount of inventory to preposition at each location (e.g., McCoy and Brandeau, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Improving network design to cut cost and reduce response time is critical for humanitarian logistics (Van Wassenhove, 2006; Van Wassenhove and Pedraza‐Martinez, 2012). The trend among larger humanitarian organizations (HOs) such as International Federation of Red Cross and Red Crescent Societies (IFRC), United Nations High Commissioner for Refugees (UNHCR), World Food Program (WFP), Cooperative for Assistance and Relief Everywhere (CARE), and United Nations Children's Fund (UNICEF) is to preposition un‐consigned relief items for emergency response in warehouses located close to disaster‐prone areas (see e.g., Jahre and Heigh, 2008; Schulz, 2008; Charles, 2010; Gatignon et al., 2010; McCoy and Brandeu, 2011; Bemley et al., 2013; Komrska et al., 2013). However, stock prepositioning is expensive, and owing to funding restrictions, other alternatives have been suggested including vendor‐managed inventory (Van Wassenhove and Pedraza Martinez, 2012), framework agreements (Balcik and Ak, 2013), transfer mechanisms between programs (Bhattacharya et al., 2014), and co‐location between organizations (Acimovic and Goentzel, 2016).…”

Section: Introductionmentioning

confidence: 99%

Integrating supply chains for emergencies and ongoing operations in UNHCR

Jahre

Kembro

Rezvanian

et al. 2016

J of Ops Management

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Humanitarian organizations (HOs) often base their warehouse locations on individuals' experience and knowledge rather than on decision-support tools. Many HOs run separate supply chains for emergency response and ongoing operations. Based on reviews of humanitarian network design literature combined with an in-depth case study of United Nations High Commissioner for Refugees (UNHCR), this paper presents a warehouse location model for joint prepositioning that incorporates political and security situation factors. Although accessibility, co-location, security, and human resources are crucial to the practice of humanitarian operations management, such contextual factors have not been included in existing network optimization models before. We found that when quantified, and modeled, such factors are important determinants of network configuration. In addition, our results suggest that joint prepositioning for emergency response and ongoing operations allows for expansion of the global warehouse network, and reducing cost and response time.

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Efficient stockpiling and shipping policies for humanitarian relief: UNHCR’s inventory challenge

Cited by 26 publications

References 18 publications

Humanitarian supply chain strategies – a review of how actors mitigate supply chain risks

Humanitarian supply chain strategies – a review of how actors mitigate supply chain risks

Collaborative Prepositioning Network Design for Regional Disaster Response

Integrating supply chains for emergencies and ongoing operations in UNHCR

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