Design and Optimization of Agent-Based Emergency Supply Chains
نویسندگان
چکیده
Networks provide the physical and information structure of systems for transporting all food, water, people, information and goods within our modern life. Emergency Management (EM) organizations need to have highly functioning logistics networks as key towards supporting and aiding affected populations in disasters or conflicts. Optimization has made immense strides towards improving logistics costs and services. However, most optimization has been designed to operate in a centralized environment, while many systems actually operate in a decentralized way, with individuals making decisions that impact the entire system, especially in emergency management. EM operations can be linked with mobile computing, but new methods are needed to operate across the decentralized network. We introduce research that explicitly integrates the decentralized decision-makers into the optimization of the entire supply chain by incorporating their behavior with mathematical models so as to improve the overall system outcomes. Specific research areas we study include:
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تاریخ انتشار 2009