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和全面的运输和仓储服务。Transport Bourassa正在扩大其服务并提高其能力，为更多客户提供服务。这种扩张应该得到控制，避免错误的决策。因此，Transport Bourassa需要新的策略和工具来优化码头门分配和调度，以决定码头给定码头门的进出卡车的顺序。该研究项目将导致优化技术的开发和采用，以提高交叉码头的生产率，降低成本，避免延误。这个创新的解决方案将被称为交叉对接终端的自动优化和模拟，并将使公司更好地为客户服务。为了实现这一目标，本项目将开发三个主要的研究主题：第一个主题将针对进出货卡车到接收和运输码头的停靠顺序模型的开发，以最小化总操作时间或最大化交叉对接系统的吞吐量。从进站卡车到出站卡车的产品分配也与进站和出站卡车的对接顺序同时决定，沿着。作为模型验证的第一步，我们将用一个小规模的问题对模型进行测试，以验证案例研究所需信息的可用性;在第二个主题中，我们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。该算法将与真实的数据进行测试，可在Transport Bourassa。第三个主题将侧重于开发一个基于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，