Failure Pattern Recognition and Extended Tactical Spare Parts Supply Chain Planning

巴西-德国研究联盟响应第三次BRAGECRIM呼吁，提交了拟议的项目扩展-集成智能维护系统和备件供应链（I2MS2C）。整个项目的扩展旨在通过集成智能维护系统（IMS）领域的进一步先进技术，提高复杂技术系统备件供应链（SPSC）管理活动的有效性和效率，为数据分析和供应链规划的新方法提供信息，以及迄今为止开发的解决方案。在巴西方面，分布式IMS的发展应该提高其对变化的操作条件的适应性，从而更好地预测单个机器的短期和长期故障，并在维护情况下优化服务技术人员的支持。项目扩展的德国部分的目标是通过整合分布式IMS和服务技术人员提供的故障模式和状态监测信息，进一步改进战术SPSC规划结果，包括成本和服务水平。此外，协作规划（CP）概念将被分析并适应SPSC的具体情况。采用数据分析方法对大型状态监测数据集进行分析，以检测由操作条件引起的故障模式。发展故障预测方法，将已识别的故障模式与状态监测信息相结合，以提高故障预测的质量。这些预测可作为基于I2MS2C项目第一阶段开发的方法计算备件需求的基础，从而实现高质量的SPSC规划。鉴于战术SPSC规划方法在项目的第一个阶段被开发，在考虑的规划领域中有更高的差异化，以实现对整个供应链更精确和可行的计划。因此，开发的集成计划方法将通过集成维护服务和生产计划领域来扩展。此外，不应孤立地看待SPSC的行动者，但他们的合作是实现预期效率和效益收益的明确研究主题。因此，将分析现有CP概念在整个SPSC的战术和作战规划中的适用性，并使用在第一项目阶段开发的建模和评估框架进行相应的调整。所有结果的性能将基于三个工业案例的模拟进行评估。这些案例之间的比较将有助于调查德国和巴西SPSCs之间的异同。

The proposed extension of the project - Integrating Intelligent Maintenance Systems and Spare Parts Supply Chains - (I2MS2C) is submitted by a Brazilian-German research consortium responding to the third BRAGECRIM call. The overall project extension aims to improve the effectiveness and efficiency of spare parts supply chain (SPSC) management activities for complex technical systems by the integration of further advanced technologies in the area of Intelligent Maintenance Systems (IMS) providing information utilized by new methods from data analytics and supply chain planning in addition to the developed solutions so far. On the Brazilian side the development of a distributed IMS should improve their adaptability to change operational conditions, resulting in a better short and long term failure forecasting of a single machine and the optimized support of the service technicians during maintenance situations. The German part of the project extension is targeting at the further improvement of tactical SPSC planning results regarding costs and service level by incorporating failure patterns and condition monitoring information provided by distributed IMS and the service technicians. Furthermore, collaborative planning (CP) concepts will be analysed and adapted to the specifics of SPSC. The large condition monitoring data sets are analyzed by adapted methods from data analytics in order to detect failure patterns stemming from operational conditions. Failure forecasting methods will be developed, being able to integrate the recognized failure patterns and the condition monitoring information in order to enhance the quality of failure forecasts. These predictions serve as a foundation for the calculation of the spare parts demand based on the methods developed in the first phase of the I2MS2C project, enabling a high quality SPSC planning. In view of the tactical SPSC planning method being developed in the first project phase a higher differentiation in the considered planning domains is aspired in order to achieve a plan being more exact and feasible for the whole supply chain. For that reason, the developed integrated planning method will be extended by integrating the domains of maintenance service and production planning. Furthermore, the actors of the SPSC shall not be regarded in an isolated way, but their collaboration is an explicit research subject for achieving the intended efficiency and effectiveness gains. Therefore, existing CP concepts will be analysed regarding their applicability in tactical and operational planning across the whole SPSC and adapted accordingly, using the modelling and evaluation framework developed in the first project phase. The performance of all results will be evaluated based on a simulation of three industrial cases. A comparison between these cases will allow an investigation of the differences and similarities between German and Brazilian SPSCs.