Modeling Transport in Service-Oriented Framework for Agent-Based Simulations of Supply Chains

This work presents an extension to the service-oriented framework for performing agent-based simulations to support the analysis of collaborative relationships in supply chain interactions already described in [5]. The extension includes a new service for simulating the planning of transportation, which is designed to allocate finite transportation resources to the transportation orders. The service includes the functionality that matches the required vehicle type, location and time to track the availability of a vehicle fleet as it is allocated to a plan. The new service proposal is validated by simulating three different scenarios of a case study. The case study is based on an actual supply chain of dairy products covering the central region of Argentina.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Modeling dynamic interactions in supply chains using agentbased simulations

In this work, we present preliminary results of our research on the construction of an agent-based simulation framework suitable to support the analysis of complex supply chain interactions as the one required for the performance assessment in collaborative supply chains. In particular we focus in the modeling of dynamic interactions through agent-to-agent message communication avoiding predefined supply chain network structures. For defining the internal structure of agents we explore the application of the SCOR reference model to bring a business process perspective and adopt the requirement of making explicit separation of the execution and control and decision making processes.Sociedad Argentina de Informática e Investigación Operativ

Modeling dynamic interactions in supply chains using agentbased simulations

In this work, we present preliminary results of our research on the construction of an agent-based simulation framework suitable to support the analysis of complex supply chain interactions as the one required for the performance assessment in collaborative supply chains. In particular we focus in the modeling of dynamic interactions through agent-to-agent message communication avoiding predefined supply chain network structures. For defining the internal structure of agents we explore the application of the SCOR reference model to bring a business process perspective and adopt the requirement of making explicit separation of the execution and control and decision making processes.Sociedad Argentina de Informática e Investigación Operativ

Modeling Transport in Service-Oriented Framework for Agent-Based Simulations of Supply Chains

This work presents an extension to the service-oriented framework for performing agent-based simulations to support the analysis of collaborative relationships in supply chain interactions already described in [5]. The extension includes a new service for simulating the planning of transportation, which is designed to allocate finite transportation resources to the transportation orders. The service includes the functionality that matches the required vehicle type, location and time to track the availability of a vehicle fleet as it is allocated to a plan. The new service proposal is validated by simulating three different scenarios of a case study. The case study is based on an actual supply chain of dairy products covering the central region of Argentina.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Correction: The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling.

[This corrects the article DOI: 10.1371/journal.pntd.0009418.]

Modeling Transport in Service-Oriented Framework for Agent-Based Simulations of Supply Chains

This work presents an extension to the service-oriented framework for performing agent-based simulations to support the analysis of collaborative relationships in supply chain interactions already described in [5]. The extension includes a new service for simulating the planning of transportation, which is designed to allocate finite transportation resources to the transportation orders. The service includes the functionality that matches the required vehicle type, location and time to track the availability of a vehicle fleet as it is allocated to a plan. The new service proposal is validated by simulating three different scenarios of a case study. The case study is based on an actual supply chain of dairy products covering the central region of Argentina.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Clinical and Virological Features and Course of Acute Hepatitis B (AHB) in Italy

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Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies

Pandemic influenza has the epidemic potential to kill millions of people. While various preventive measures exist (i.a., vaccination and school closures), deciding on strategies that lead to their most effective and efficient use remains challenging. To this end, individual-based epidemiological models are essential to assist decision makers in determining the best strategy to curb epidemic spread. However, individual-based models are computationally intensive and it is therefore pivotal to identify the optimal strategy using a minimal amount of model evaluations. Additionally, as epidemiological modeling experiments need to be planned, a computational budget needs to be specified a priori. Consequently, we present a new sampling technique to optimize the evaluation of preventive strategies using fixed budget best-arm identification algorithms. We use epidemiological modeling theory to derive knowledge about the reward distribution which we exploit using Bayesian best-arm identification algorithms (i.e., Top-two Thompson sampling and BayesGap). We evaluate these algorithms in a realistic experimental setting and demonstrate that it is possible to identify the optimal strategy using only a limited number of model evaluations, i.e., 2-to-3 times faster compared to the uniform sampling method, the predominant technique used for epidemiological decision making in the literature. Finally, we contribute and evaluate a statistic for Top-two Thompson sampling to inform the decision makers about the confidence of an arm recommendation