I-Corps: Smart and Holistic Agent Management System

I-Corps：智能、全面的代理管理系统

• 批准号: 2012228
• 负责人: Luis Rabelo
• 金额: $ 5万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-15 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2012228&HistoricalAwards=false
• 关键词: Corps; Smart; Holistic; Agent; Management

The broader impact of this I-Corps project is to develop a software system with geographical, weather, and behavioral information to produce timely, interactive, and continuous improvement results for logistics operations. The tool is aimed at food and beverage distributors, business and service companies, and those in the retail industry who need on-time delivery with an excellent level of predictability. Home-delivery operations account for around 53% of total logistics costs in the retail industry. This project will develop a solution for the last-mile delivery industry, predicted to be a $55 B industry by 2025. The envisioned solution will result in increasing customer satisfaction and strong economic value by reducing costs and maximizing utilization of resources.This I-Corps project will advance and automate the organization, dispatching, and routing of vehicles in urban environments using hierarchical and distributed decision-making using network modeling, agent-based simulation, and machine learning. These hierarchical decision-making processes can aid businesses in optimizing loading and sorting, dispatching, and routing operations, . Unlike existing schemes that have only partial near-optimal routing, and do not effectively take feedback from the different elements of the supply chain (e.g., customers, drivers, etc.), the proposed technology scheme also includes packing, loading and sorting optimization in synchronization with dispatching and routing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

I-Corps 项目更广泛的影响是开发一个包含地理、天气和行为信息的软件系统，为物流运营提供及时、交互式和持续的改进结果。 该工具面向食品和饮料分销商、商业和服务公司，以及需要准时交货和卓越可预测性的零售行业人士。 送货上门业务约占零售业物流总成本的 53%。该项目将为最后一英里配送行业开发一个解决方案，预计到 2025 年该行业将达到 55 B 美元。设想的解决方案将通过降低成本和最大限度地利用资源来提高客户满意度和强大的经济价值。该 I-Corps 项目将使用网络建模、基于代理的模拟和机器学习，使用分层和分布式决策来推进和自动化城市环境中车辆的组织、调度和路由。这些分层决策流程可以帮助企业优化装载和分拣、调度和路线操作。与仅具有部分接近最佳路线的现有方案不同，并且不能有效地从供应链的不同要素（例如客户、司机等）获取反馈，所提出的技术方案还包括与调度和路线同步的包装、装载和分拣优化。该奖项反映了 NSF 的法定使命，并通过利用基金会的智力优势和更广泛的评估，被认为值得支持。 影响审查标准。