Business Intelligence for Gang Scheduling
项目名称: Business Intelligence for Gang Scheduling
摘要: Railway tracks wear down and thus need to be constantly maintained. Groups of maintenance workers, called gangs, are responsible for such maintenance tasks. Throughout a year, a gang works for a few days in a particular track section and then reallocates to another section. Railways incur significant expenses related to gangs. They range from the direct costs such as salary and travel allowance to indirect costs consisting primarily of the impact to operational disruptions. It is thus of vital importance to railways to schedule the gangs as efficiently as possible. In conjunction with the Norfolk Southern Corporation (herein called NS), we have started developing a gang scheduling information system based on business intelligence and state-of-the-art analytics. At the core of the system there will be a sophisticated optimization algorithm considering the multi-objective nature of the problem and all of the underlying complexities. The algorithm will be composed of initially constructing a schedule and then iteratively refining the schedule based on state-of-the-art mathematical programming techniques combined with very large neighborhood local search strategies. After initially rolling out the system at NS, we plan to repackage the software around the Software-as-a-Service business model and offer it to other railways.
状态: Completed
资金: 67594.00
资助组织: Center for the Commercialization of Innovative Transportation Technology
开始时间: 20090101
实际结束时间: 20120312
主题领域: Administration and Management;Data and Information Technology;Maintenance and Preservation;Planning and Forecasting;Railroads
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