A new epidemics–logistics model: Insights into controlling the Ebola virus disease in West Africa

Büyüktahtakın, İ. Esra; des-Bordes, Emmanuel; Kıbış, Eyyüb Y.

doi:10.1016/j.ejor.2017.08.037

Cited by 150 publications

(137 citation statements)

References 52 publications

Supporting

Mentioning

134

Contrasting

Unclassified

Order By: Relevance

“…Ebola virus spread has negatively impacted the global logistics (BSI, 2014). Calnan et al (2018) and Esra Büyüktahtakın et al (2018) describe the lessons learned during the Ebola times and point to a need of building a decision-support framework which would help predicting the impacts of epidemic outbreaks on the SCs and coordinating the operational and logistics policies during and after the crisis. It is intuitively to expect decreases in operative performance (e.g., EBIT), material shortages, and price fluctuations during epidemic outbreaks.…”

Section: Epidemic Outbreaks and Scsmentioning

confidence: 99%

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Ivanov

2020

Transportation Research Part E: Logistics and Transportation Re

1,654

1,348

View full text Add to dashboard Cite

Epidemic outbreaks are a special case of supply chain (SC) risks which is distinctively characterized by a long-term disruption existence, disruption propagations (i.e., the ripple effect), and high uncertainty. We present the results of a simulation study that opens some new research tensions on the impact of COVID-19 (SARS-CoV-2) on the global SCs. First, we articulate the specific features that frame epidemic outbreaks as a unique type of SC disruption risks. Second, we demonstrate how simulation-based methodology can be used to examine and predict the impacts of epidemic outbreaks on the SC performance using the example of coronavirus COVID-19 and anyLogistix simulation and optimization software. We offer an analysis for observing and predicting both short-term and long-term impacts of epidemic outbreaks on the SCs along with managerial insights. A set of sensitivity experiments for different scenarios allows illustrating the model's behavior and its value for decision-makers. The major observation from the simulation experiments is that the timing of the closing and opening of the facilities at different echelons might become a major factor that determines the epidemic outbreak impact on the SC performance rather than an upstream disruption duration or the speed of epidemic propagation. Other important factors are lead-time, speed of epidemic propagation, and the upstream and downstream disruption durations in the SC. The outcomes of this research can be used by decisionmakers to predict the operative and long-term impacts of epidemic outbreaks on the SCs and develop pandemic SC plans. Our approach can also help to identify the successful and wrong elements of risk mitigation/preparedness and recovery policies in case of epidemic outbreaks. The paper is concluded by summarizing the most important insights and outlining future research agenda.

show abstract

Section: Epidemic Outbreaks and Scsmentioning

confidence: 99%

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Ivanov

2020

Transportation Research Part E: Logistics and Transportation Re

1,654

1,348

View full text Add to dashboard Cite

show abstract

“…One of the most significant logistics challenges is to set up temporary healthcare facilities in order to deal with the rapid increase of infections. In this regard, Büyüktahtakın et al [2] formulated an mixed integer program to minimize the overall amount of infections and fatalities considering the spatial spread of an infectious disease. The model determines the number, the capacity, and the locations of patient treatment centers as well as the patient flows.…”

Section: Epidemic Logistics Modelsmentioning

confidence: 99%

“…(1) First, the priority level of the three objective functions f 1 , f 2 and f 3 are determined by the decision-makers. (2) The best solution f optimal and the worst solution f nadia of the three objective functions are calculated.…”

Section: Solution Approachmentioning

confidence: 99%

“…Otherwise, patients are proportionally allocated based on their full capacities. (2) In the other periods, if the total existing capacity is not exceeded, patients are proportionally allocated to all the 40 hospitals based on the existing capacities. Otherwise, patients are proportionally distributed based on the full capacities of these hospitals.…”

Section: Data Generationmentioning

confidence: 99%

“…The number and impact of both natural and human-related catastrophes have been increasing since the 1950s [1]. Among various kinds of disasters, epidemic disease outbreaks may pose tremendous treats for human beings [2,3], and it may, if ineffectively controlled, further become a pandemic and lead to a global crisis. In accordance with the World Health Organization (WHO), an epidemic outbreak is "the occurrence of disease cases in excess of normal expectancy" [4], which is usually caused by an infectious disease through human-to-human transmission and animal-to-human transmission or by the exposure to radioactive and hazardous chemical sources [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Sun

Solvang

et al. 2020

IJERPH

283

234

View full text Add to dashboard Cite

The outbreak of an epidemic disease may pose significant treats to human beings and may further lead to a global crisis. In order to control the spread of an epidemic, the effective management of rapidly increased medical waste through establishing a temporary reverse logistics system is of vital importance. However, no research has been conducted with the focus on the design of an epidemic reverse logistics network for dealing with medical waste during epidemic outbreaks, which, if improperly treated, may accelerate disease spread and pose a significant risk for both medical staffs and patients. Therefore, this paper proposes a novel multi-objective multi-period mixed integer program for reverse logistics network design in epidemic outbreaks, which aims at determining the best locations of temporary facilities and the transportation strategies for effective management of the exponentially increased medical waste within a very short period. The application of the model is illustrated with a case study based on the outbreak of the coronavirus disease 2019 in Wuhan, China. Even though the uncertainty of the future COVID-19 spread tendency is very high at the time of this research, several general policy recommendations can still be obtained based on computational experiments and quantitative analyses. Among other insights, the results suggest installing temporary incinerators may be an effective solution for managing the tremendous increase of medical waste during the COVID-19 outbreak in Wuhan, but the location selection of these temporary incinerators is of significant importance. Due to the limitation on available data and knowledge at present stage, more real-world information are needed to assess the effectiveness of the current solution.

show abstract

A strategic approach to safeguard global supply chains against COVID‐19 disruptions

Mzougui

Carpitella

Certa

et al. 2023

Math Methods in App Sciences

View full text Add to dashboard Cite

The global system of supply chains has been dramatically disrupted over the last years due to the outbreak of the COVID‐19 pandemic. In these current challenging times, this paper proposes a methodological approach for managing dependence and uncertainty in dynamic industrial scenarios. A detailed study of epidemic effects is carried out according to an operational management‐based perspective. We proceed by analyzing connections among effects and risks potentially leading to significant supply chain disturbances through a multicriteria approach. Risks and effects are weighted by applying the Analytic Network Process (ANP). Weighted risks are then assumed as criteria for selecting the most suitable contingency strategy. To this aim, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is able to rank a set of strategies by addressing and quantifying uncertainty. A case study on the sector of the automotive industry is implemented to validate the proposed methodological approach.

show abstract

A new epidemics–logistics model: Insights into controlling the Ebola virus disease in West Africa

Cited by 150 publications

References 52 publications

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

A strategic approach to safeguard global supply chains against COVID‐19 disruptions

Contact Info

Product

Resources

About