Maintenance optimisation modelling to inform engineering capability investment

维护优化建模为工程能力投资提供信息

• 批准号: 1928376
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1928376
• 关键词: Maintenance; optimisation; modelling; inform; engineering

With highly complex naval ships having a lifespan in excess of 25 years, the through-life cost of maintaining a modern fleet represents a substantial burden on the customer future budget allocation. Maintenance optimisation and the ability to feed experience back in to the design management loop are imperative in ensuring the competitiveness and future enhancement of the Fleet Service business. The research will address the following objectives: 1. To develop a systems view of the current process and information flows. Methodologies might include soft systems methodology, causal mapping and system dynamics.2. Review the current state of the art in engineering maintenance of ships3. Build mathematical models to optimise the maintenance process. Methodologies might include mathematical programming, data envelopment analysis, search heuristics, discrete event simulation, multiple-criteria decision analysis and analytic hierarchy process.4. Build a simulation or system dynamics model of the system incorporating the optimised processes to evaluate impact and improvement over current practice.

由于高度复杂的海军舰船的使用寿命超过25年，因此维护现代化舰队的全寿命成本对客户未来的预算分配构成了巨大负担。维护优化和将经验反馈到设计管理循环的能力对于确保车队服务业务的竞争力和未来增强至关重要。本研究的主要目的是：1.建立当前流程和信息流的系统视图。方法学可能包括软系统方法学、因果映射和系统动力学。回顾船舶工程维修的当前状况3。建立数学模型以优化维护过程。方法学包括数学规划、数据挖掘分析、搜索引擎、离散事件模拟、多准则决策分析和层次分析法.建立一个系统的模拟或系统动力学模型，结合优化的过程，以评估对当前实践的影响和改进。