scholarly journals Contract Farming in the Mekong Delta's Rice Supply Chain: Insights from an Agent-Based Modeling Study

2019 ◽  
Vol 22 (3) ◽  
Author(s):  
Hung Khanh Nguyen ◽  
Raymond Chiong ◽  
Manuel Chica ◽  
Richard Middleton ◽  
Dung Thi Kim Pham
Keyword(s):  
Supply Chain ◽  
Agent Based Modeling ◽  
Contract Farming ◽  
Agent Based ◽  
Modeling Study

scholarly journals Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study

BMJ ◽  
2021 ◽  
pp. n1087
Author(s):  
Santiago Romero-Brufau ◽  
Ayush Chopra ◽  
Alex J Ryu ◽  
Esma Gel ◽  
Ramesh Raskar ◽  
...  
Keyword(s):  
Hospital Admissions ◽  
Vaccination Strategy ◽  
Population Based ◽  
Agent Based Modeling ◽  
Sensitivity Analyses ◽  
Agent Based ◽  
Cumulative Mortality ◽  
Vaccination Rates ◽  
Dose Strategy ◽  
Modeling Study

AbstractObjectiveTo estimate population health outcomes with delayed second dose versus standard schedule of SARS-CoV-2 mRNA vaccination.DesignSimulation agent based modeling study.SettingSimulated population based on real world US county.ParticipantsThe simulation included 100 000 agents, with a representative distribution of demographics and occupations. Networks of contacts were established to simulate potentially infectious interactions though occupation, household, and random interactions.InterventionsSimulation of standard covid-19 vaccination versus delayed second dose vaccination prioritizing the first dose. The simulation runs were replicated 10 times. Sensitivity analyses included first dose vaccine efficacy of 50%, 60%, 70%, 80%, and 90% after day 12 post-vaccination; vaccination rate of 0.1%, 0.3%, and 1% of population per day; assuming the vaccine prevents only symptoms but not asymptomatic spread (that is, non-sterilizing vaccine); and an alternative vaccination strategy that implements delayed second dose for people under 65 years of age, but not until all those above this age have been vaccinated.Main outcome measuresCumulative covid-19 mortality, cumulative SARS-CoV-2 infections, and cumulative hospital admissions due to covid-19 over 180 days.ResultsOver all simulation replications, the median cumulative mortality per 100 000 for standard dosing versus delayed second dose was 226 v 179, 233 v 207, and 235 v 236 for 90%, 80%, and 70% first dose efficacy, respectively. The delayed second dose strategy was optimal for vaccine efficacies at or above 80% and vaccination rates at or below 0.3% of the population per day, under both sterilizing and non-sterilizing vaccine assumptions, resulting in absolute cumulative mortality reductions between 26 and 47 per 100 000. The delayed second dose strategy for people under 65 performed consistently well under all vaccination rates tested.ConclusionsA delayed second dose vaccination strategy, at least for people aged under 65, could result in reduced cumulative mortality under certain conditions.

scholarly journals Exploring the emergence of a biojet fuel supply chain in Brazil: An agent‐based modeling approach

GCB Bioenergy ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 773-790 ◽  
Author(s):  
Jorge A. Moncada ◽  
Judith A. Verstegen ◽  
John A. Posada ◽  
Martin Junginger ◽  
Zofia Lukszo ◽  
...  
Keyword(s):  
Supply Chain ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Fuel Supply ◽  
Modeling Approach

Influence of the Chinese Government Subsidy Policies on Supply Chain Members’ Profits: An Agent-Based Modeling and Simulation Approach

2016 ◽  
Vol 20 (4) ◽  
pp. 623-632
Author(s):  
Ran Zhang ◽  
◽  
Jie Lin ◽  
Keyword(s):  
Supply Chain ◽  
Modeling And Simulation ◽  
Agent Based Modeling ◽  
Chinese Government ◽  
Chain Model ◽  
Government Subsidy ◽  
Demand Model ◽  
Profit Model ◽  
Agent Based ◽  
The Impact

The series of subsidy policies launched by the Chinese government has affected supply chain members’ profits distribution. To explore this influence, an agent-based model was designed, and experiments were conducted under different subsidy levels. Our model focused on the ordinary business entities and their activities in the supply chain. By investigating the real world and other researchers’ studies, agent simulation class library (e.g., control agents, cooperation/collaboration agents, and fractal simulation agents) and their decision knowledge bases were designed to simulate the supply chain members’ behaviors, decision processes, and operation and production activities and behaviors. Price model, demand model and profit model under the subsidy were built to evaluate the supply chain members’ profits under different subsidy scenarios. Finally, a multi-echelon appliance supply chain model was constructed, and experiments were performed with different levels of subsidy limit. Results showed that the supply chain members’ profits increased under the government subsidy policy. The agent-based modeling and simulation method provides a novel approach to explore the impact on profit distribution.

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