Embedded analytics: improving decision support for humanitarian logistics operations

Griffith, Daniel A.; Boehmke, Bradley C.; Bradley, R. S.; Hazen, Benjamin T.; Johnson, Alan W.

doi:10.1007/s10479-017-2607-z

Cited by 33 publications

(29 citation statements)

References 50 publications

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“…For instance, SCM decision-makers are henceforth well equipped to make use of the available technologies and relevant techniques (including simulation) to predict impacts on their organizations/firms' SCs. Besides, analytics techniques to support decision-making in logistics operations (Griffith et al 2019;Dubey et al 2019b), and social media analytics to support emergency operations decisions (Fosso Wamba et al 2019), play an essential role in order to minimize the epidemic impacts on SCs. Moreover, it is well demonstrated that the SC performance response relies on the scale and timing of the disruption spreading and not on the upstream disruption duration.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review

et al. 2020

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The coronavirus (COVID-19) outbreak shows that pandemics and epidemics can seriously wreak havoc on supply chains (SC) around the globe. Humanitarian logistics literature has extensively studied epidemic impacts; however, there exists a research gap in understanding of pandemic impacts in commercial SCs. To progress in this direction, we present a systematic analysis of the impacts of epidemic outbreaks on SCs guided by a structured literature review that collated a unique set of publications. The literature review findings suggest that influenza was the most visible epidemic outbreak reported, and that optimization of resource allocation and distribution emerged as the most popular topic. The streamlining of the literature helps us to reveal several new research tensions and novel categorizations/ classifications. Most centrally, we propose a framework for operations and supply chain management at the times of COVID-19 pandemic spanning six perspectives, i.e., adaptation, digitalization, preparedness, recovery, ripple effect, and sustainability. Utilizing the outcomes of our analysis, we tease out a series of open research questions that would not be observed otherwise. Our study also emphasizes the need and offers directions to advance the literature on the impacts of the epidemic outbreaks on SCs framing a research agenda for scholars and practitioners working on this emerging research stream.

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Section: Discussion Of Findingsmentioning

confidence: 99%

Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review

et al. 2020

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“…For example in global SCs where sales volumes and product variability are high and disperse, the analysis of SC big data (sales, buying behavior, product inventory, transportation channels, distribution frequency and production rates) can reduce demand uncertainty and sensor data in distribution centers which can mitigate logistics risks and increase visibility and trust among suppliers (Baryannis et al 2019a, b). Some evidence also exists (Griffith et al 2019) that the BDA and AI technologies can assist visibility (e.g. with open-source imagery tools and analytic mapping tools) in disaster relief chains and humanitarian logistics but how this can be done is a question that requires further investigation (Dubey et al 2019abc).…”

Section: Hybrid Models Combined With Itmentioning

confidence: 99%

Supply chain disruptions and resilience: a major review and future research agenda

2021

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Our study examines the literature that has been published in important journals on supply chain disruptions, a topic that has emerged the last 20 years, with an emphasis in the latest developments in the field. Based on a review process important studies have been identified and analyzed. The content analysis of these studies synthesized existing information about the types of disruptions, their impact on supply chains, resilience methods in supply chain design and recovery strategies proposed by the studies supported by cost-benefit analysis. Our review also examines the most popular modeling approaches on the topic with indicative examples and the IT tools that enhance resilience and reduce disruption risks. Finally, a detailed future research agenda is formed about SC disruptions, which identifies the research gaps yet to be addressed. The aim of this study is to amalgamate knowledge on supply chain disruptions which constitutes an important and timely as the frequency and impact of disruptions increase. The study summarizes and builds upon the knowledge of other well-cited reviews and surveys in this research area.

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“…Digital information has many uses in the study and mitigation of infectious diseases and disaster situations (Fast et al 2018 ; Dubey et al 2019a , b ; Singh et al 2019 ; DuHadway et al 2019 ; Wamba et al 2019 ). Some evidence also exists (Griffith et al 2019 ) that the big data analytics and AI technologies can assist visibility (e.g. with open-source imagery tools and analytic mapping tools) in disaster relief operations, but this implementation process requires further investigation (Dubey et al 2019a , b ).…”

Section: Literature Reviewmentioning

confidence: 99%

Social media effectiveness as a humanitarian response to mitigate influenza epidemic and COVID-19 pandemic

et al. 2021

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Influenza and COVID-19 are infectious diseases with significant burdens. Information and awareness on preventative techniques can be spread through the use of social media, which has become an increasingly utilized tool in recent years. This study developed a dynamic transmission model to investigate the impact of social media, particularly tweets via the social networking platform, Twitter on the number of influenza and COVID-19 cases of infection and deaths. We modified the traditional Susceptible-Exposed-Infectious-Recovered (SEIR-V) model with an additional social media component, in order to increase the accuracy of transmission dynamics and gain insight on whether social media is a beneficial behavioral intervention for these infectious diseases. The analysis found that social media has a positive effect in mitigating the spread of contagious disease in terms of peak time, peak magnitude, total infected, and total death; and the results also showed that social media's effect has a non-linear relationship with the reproduction number R 0 and it will be amplified when a vaccine is available. The findings indicate that social media is an integral part in the humanitarian logistics of pandemic and emergency preparedness, and contributes to the literature by informing best practices in the response to similar disasters.

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Embedded analytics: improving decision support for humanitarian logistics operations

Cited by 33 publications

References 50 publications

Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review

Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review

Supply chain disruptions and resilience: a major review and future research agenda

Social media effectiveness as a humanitarian response to mitigate influenza epidemic and COVID-19 pandemic

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