Operational-Level Optimization of Autonomous Logistics Enterprises
Abstract
Funds to GMU Grant12003068 for Data Collection, Model Design, Model Dev, Analysis, and Admin for Optimization of Autonomous Logistics. Under the direction of Kevin M. Curtin as Director of the Center for Location Science at George Mason University, with Associate Director Alec Barker and in collaboration with subrecipient Group W, the following work will be performed: Data Collection – Data collection efforts will include reviewing the appropriate literature, interviewing content experts, engaging a broad range of stakeholders, and conducting field research to support the overall project effort. Model Design – Model Design activities will include identifying operative sub-problems for the autonomous vehicle platform mix problem, identifying the necessary inputs to, and likely outputs from, those models, and ensuring those outputs meet stakeholder needs. Once identified, the research team will prioritize the models to formulate. Assumptions and limitations will be identified, and the data architecture to support the models will be created. Model Development – in close collaboration with the subrecipient prototype model implementations based on the Model Design will be created. An iterative process will be used to test for feasibility of solving the problems, remediation based on those findings, and ensuring that computational efficiency is maximized. Robust testing will be performed to determine if the model outputs are robust, and can serve the stakeholder needs. Analysis – with the models developed above, a range of experiments will be development to test the ability of the models to answer the autonomous platform mix problem and its component subproblems. The design of the experiments, implementation of the experimental scenarios, collection of output data, and – most importantly – interpretation of those results will be a primary task for the Mason research team. Administration and Dissemination – the PI and Co-PI will actively administer and manage the project. The PI will administer the funding, and both PI and Co-PI will arrange travel, supervise student activities, produce required reports to the sponsor, and ensure compliance will all applicable scientific, contractual, ethical, and safety regulations. The PI and Co-PI will be the primary generators of manuscripts and presentations for the dissemination of the research results to the scientific community.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 23, 2016
- Source ID
- N000141612421
Entities
People
- Kevin M. Curtin
Organizations
- George Mason University
- Office of Naval Research
- United States Navy