Scheduling and coordinating ongoing asset maintenance projects

安排和协调正在进行的资产维护项目

• 批准号: 472078-2014
• 负责人: Beck, Christopher
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=564613
• 关键词: Scheduling; coordinating; ongoing; asset; maintenance

The maintenance of public infrastructure such as roads, sewer systems, and transit systems is an ongoing, costly expense for any municipality. Similarly large capital intensive corporations in areas important to Canada (e.g., mining) are faced with the challenge of maintaining their equipment. Riva Modeling, the industrial partner in this proposal, markets software that allows such organizations to create maintenance plans for their different classes of assets over a 100 year time-frame. In this project, we will address the reality that large organizations often manage many simultaneous and competing maintenance projects. For example, a city may need to balance among ongoing maintenance on roads, sewers, and the urban forest. Using the output from Riva's existing software, we will investigate the problem of scheduling asset maintenance projects over a 10 year time-frame when the projects compete for the same budget, the same resources (e.g., labour force), and the same risk limitations. Using real data, we will develop and empirically compare a number of mathematical programming models using different technology (mixed integer programming, constraint programming, constraint integer programming, heuristics) and develop prototype software that will integrate with and complement Riva's existing software. This prototype will automatically transform the set of maintenance project plans plus some company data into a mathematical programming model that will then be solved, providing an optimal schedule while balancing annuals costs, resource usage, and risk.

道路、下水道系统和交通系统等公共基础设施的维护对任何市政当局来说都是一项持续且昂贵的费用。同样，对加拿大很重要的领域(例如采矿)的大型资本密集型公司也面临维护其设备的挑战。Riva建模是本提案的行业合作伙伴，它销售的软件允许这些组织在100年的时间范围内为其不同类别的资产创建维护计划。在这个项目中，我们将解决这样一个现实，即大型组织经常管理许多同时和竞争的维护项目。例如，一个城市可能需要在道路、下水道和城市森林的持续维护之间取得平衡。使用Riva现有软件的输出，我们将调查当资产维护项目争夺相同的预算、相同的资源(例如，劳动力)和相同的风险限制时，在10年时间框架内安排资产维护项目的问题。使用真实数据，我们将使用不同的技术(混合整数规划、约束规划、约束整数规划、启发式)开发和经验性地比较多个数学规划模型，并开发将与Riva现有软件集成和补充的原型软件。此原型将自动将维护项目计划集加上一些公司数据转换为数学规划模型，然后将其求解，从而在平衡年度成本、资源使用和风险的同时提供最佳计划。