Automated Optimization and Simulation of a Cross-Docking Terminal

越库转运终端的自动优化和仿真

• 批准号: 514633-2017
• 负责人: Chaabane, Amin
• 金额: $ 1.82万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639428
• 关键词: Automated; Optimization; Simulation; Cross; Docking

Transport Bourassa is a Canadian Based company that provides high quality and comprehensive transport andstorage services for a wide range of customers located in Canada and United States. Transport Bourassa isexpanding their services and increase its capacity to offer services for more customers. This expansion shouldbe controlled and avoid wrong decisions. Thus, Transport Bourassa needs new strategies and tools to optimizedock door assignment and scheduling to decide on the sequence of inbound and outbound trucks at given set ofdock doors of the terminal. The research project will lead to the development and adoption of optimizationtechniques to increase the productivity of the cross dock, reduce cost and avoid delay. This innovative solutionwill be called Automated Optimization and Simulation of a Cross Docking Terminal, and will allow thecompany to better serves its customers. In order to achieve this objective, three main research themes will bedeveloped in this project.The first theme will target the development of model for the docking sequences of the inbound and outboundtrucks to the receiving and shipping docks in order to minimize total operation time or in order to maximize thethroughput of the cross docking system. The product assignments from the inbound trucks to the outboundtrucks are also decided upon simultaneously, along with the docking sequences of the inbound and outboundtrucks. As first step for model validation, we will test the model with a small size problem to validate theavailability of information that we need for the case study.In the scond theme, will propose new heuristic algorithm in order to improve the efficiency in solving mediumto large problems. The algorithm will be tested with real data available at Transport Bourassa.The third theme will focus on the development of an optimization platform based on Excel spreadsheetprogramming and will perform all the basic features of connecting to the existent system of the company to

Transport Bourassa 是一家加拿大公司，为加拿大和美国的广大客户提供高质量、全面的运输和仓储服务。 Transport Bourassa 正在扩大服务范围并提高为更多客户提供服务的能力。这种扩张应该受到控制并避免错误的决定。因此，Bourassa 运输公司需要新的策略和工具来优化码头门分配和调度，以决定在码头给定的一组码头门处进出卡车的顺序。该研究项目将促进优化技术的开发和采用，以提高交叉转运的生产率、降低成本并避免延误。这一创新解决方案将被称为交叉对接终端的自动优化和模拟，将使该公司能够更好地为客户提供服务。为了实现这一目标，该项目将开发三个主要研究主题。第一个主题将针对进出卡车到收货和装运码头的停靠顺序模型的开发，以最大限度地减少总操作时间或以便最大限度地提高交叉转运系统的吞吐量。从进站卡车到出站卡车的产品分配以及进站和出站卡车的停靠顺序也同时决定。作为模型验证的第一步，我们将用小规模问题测试模型，以验证案例研究所需信息的可用性。在第二个主题中，将提出新的启发式算法，以提高解决中型到大型问题的效率问题。该算法将使用 Transport Bourassa 提供的真实数据进行测试。第三个主题将侧重于开发基于 Excel 电子表格编程的优化平台，并将执行连接到公司现有系统的所有基本功能