Maintenance optimisation modelling to inform engineering capability investment

由于高度复杂的海军舰艇的寿命超过25年，维护一支现代舰队的终身成本对客户未来的预算分配构成了巨大的负担。维护优化和将经验反馈到设计管理循环的能力对于确保舰队服务业务的竞争力和未来的增强至关重要。这项研究将致力于以下目标：1.对当前的流程和信息流形成一个系统的观点。方法论可能包括软系统方法论、因果图和系统动力学。回顾船舶工程维修的现状3。建立数学模型以优化维护流程。方法包括数学规划、数据包络分析、搜索启发式、离散事件模拟、多准则决策分析和层次分析。建立包含优化流程的系统的模拟或系统动力学模型，以评估对当前实践的影响和改进。

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.