Decentralized beneficiary behavior in humanitarian supply chains: models, performance bounds, and coordination mechanisms

Muggy, Luke; Stamm, Jessica L. Heier

doi:10.1007/s10479-019-03246-7

Cited by 19 publications

(11 citation statements)

References 28 publications

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“…Supply chain coordination and information sharing have a direct effect on organizational performance (DuHadway et al, 2019;Lee and Fernando, 2015;Liu et al, 2020). Muggy and Stamm (2020) had pointed out supply chain operations depends on beneficiaries and services needed. On the basis of such literature, authors also feel usage of AI in upstream supply chain will increase the horizon of the employees and will facilitate the human judgement.…”

Section: Research Question and Propositionmentioning

confidence: 99%

Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions

2020

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In this digital era, data is new oil and artificial intelligence (AI) is new electricity, which is needed in different elements of operations management (OM) such as manufacturing, product development, services and supply chain. This study explores the feasibility of AI utilization within an organization on six factors such as job-fit, complexity, long-term consequences, affect towards use, social factors and facilitating conditions for different elements of OM by mining the collective intelligence of experts on Twitter and through academic literature. The study provides guidelines for managers for AI applications in different components of OM and concludes by presenting the limitations of the study along with future research directions.

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Section: Research Question and Propositionmentioning

confidence: 99%

Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions

2020

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“…The authors use variational equilibrium and the Lagrange multiplier theory in the model and illustrate the behaviour of the model under conditions resembling the impact of Hurricane Harvey in the US. Muggy and Heier Stamm (2020) propose a centralized and a decentralized decision model to decide which facilities will be selected by beneficiaries in evacuations. Both network congestion games minimize utility comprised of travel distance and congestion in the facility, with the decentralized model looking at individual utility and the centralized model considering the overall travel distance and congestion in the system.…”

Section: Game Theorymentioning

confidence: 99%

“…However, two common features were found in these articles. The preference for non cooperative games using monetary metrics captures the competition between organizations, but it does not account for agencies guided by an upper-level coordinator (except for the centralized model from Muggy and Heier Stamm (2020)). Additionally, in all cases the players and resources need to be known in advance and the use of the formulations can be complicated by the introduction of different sources of uncertainty.…”

Section: Game Theorymentioning

confidence: 99%

A shortage risk mitigation model for multi-agency coordination in logistics planning

Rodríguez-Espíndola

Alem

Silva

2020

Computers & Industrial Engineering

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We introduce a two-stage stochastic program to handle typical disaster preparedness activities under uncertainty from a multi-agency perspective. The model explicitly takes into account the number of people without healthcare attention, relief aid, and shelter support. We build a function that represents the total number of people at risk of not receiving proper humanitarian assistance using a bi-objective approach in which expected logistics costs are also minimized.The benefit of our approach is assessed through real flood cases in Mexico in which GIS analysis was used to enhance data gathering and to provide risk maps that could be potentially used by policy-makers in practical settings. The overall results suggest that sheltering decisions have to be closely coordinated with the management of material and human resources to avoid an increased number of people deprived of attention and relief aid.The Pareto Frontier also reveals that some solutions exhibit a quite interesting trade-off, e.g., it

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“…Therefore, gift-in-kind donations can reduce virus transmission by preventing people from leaving their houses to purchase goods. However, in the humanitarian context, beneficiaries themselves often perform the last-mile distribution, who collect the items at specific sites (Muggy & Stamm, 2020 ). Thus, depending on how pick-up procedures are organised, they may generate agglomeration points, spreading the virus.…”

Section: Theoretical Foundationmentioning

confidence: 99%

Measuring the impact of donations at the Bottom of the Pyramid (BoP) amid the COVID-19 pandemic

et al. 2022

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The governments' isolation measures to contain the transmission of COVID-19 imposed a dilemma for the people at the bottom of the pyramid. Since these people have very unreliable sources of income, a dilemma arises: they must either work under risky conditions or refrain from work and suffer from income cuts. Emergency donations of food and cleaning supplies in a pandemic context might be overlooked by government and civil society actors. This paper aims to model the effects of donations on mitigating the negative effects of COVID-19 on vulnerable communities. Applying the system dynamics method, we simulated the behaviour of the pandemic in Rio de Janeiro (Brazil) communities and the impacts that donations of food and cleaning supplies have in these settings. We administered surveys to the beneficiaries and local organisations responsible for the final distribution of donations to gather information from the field operations. The results show that increasing access to cleaning supplies in communities through donations can significantly reduce coronavirus transmission, particularly in high-density and low-resource areas, such as slums in urban settings. In addition, we also show that food donations can increase the vulnerable population’s ability to afford necessities, alleviating the stress caused by the pandemic on this portion of the population. Therefore, this work helps decision-makers (such as government and non-governmental organisations) understand the impacts of donations on controlling outbreaks, especially under COVID-19 conditions, in a low-resource environment and, thus, aid these hard-to-reach populations in a pandemic setting.

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Decentralized beneficiary behavior in humanitarian supply chains: models, performance bounds, and coordination mechanisms

Cited by 19 publications

References 28 publications

Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions

Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions

A shortage risk mitigation model for multi-agency coordination in logistics planning

Measuring the impact of donations at the Bottom of the Pyramid (BoP) amid the COVID-19 pandemic

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