Short-Term Joint Maintenance and Production Decision Support Tool of Manufacturing Systems

该奖项的研究目标是为复杂制造系统的短期联合维护和生产决策支持工具开发建模和分析的科学方法。对于具有不可靠机器和有限内部缓冲器的制造系统，需要有效的短期真实的时间控制策略，以满足各种系统性能要求，例如吞吐量、可靠性、质量和成本效益。本研究将开发一个实时的短期生产和维护控制系统的基础上，新的数据驱动的瞬时瓶颈检测方法，维护机会规划和维护任务优先级，而不使用仿真模型。拟议的系统将研究缓解生产的不确定性，以减少计划外停机时间和有效利用有限的工厂资源的生产系统的生产系统的关键部分通过检测瓶颈。这种联合维护和生产决策优化的目标是实现一个几乎平衡的生产线状态为任何给定的生产option.If成功的，本研究的结果将建立一个科学的知识库，并提供一个机会，创造最佳的维护策略，可用于有效地提高复杂的制造系统以及许多其他使命关键工程系统的性能。发达国家？聪明吗联合生产和维护决策可以对汽车生产系统等工业应用产生重大影响，其结果将被传播，以使工业从业者能够应用这些方法来提高生产效率、降低成本和提高竞争力。研究生和本科工程专业的学生将受益于课堂教学和参与研究。参与这项研究的学生将大大受益于该项目中预期的跨学科研究环境，其中机械，工业和电气工程科学将交织在一起。

The research objective of this award is to develop scientific methods for modeling and analysis of short-term joint maintenance and production decision support tools for complex manufacturing systems. For manufacturing systems with unreliable machines and finite internal buffers, there is a need for effective short-term real time control policies in order to satisfy various system performance requirements, such as throughput, reliability, quality and cost effectiveness. This research will develop a real-time short-term production and maintenance control system based on novel data-driven instantaneous bottleneck detection methods, maintenance opportunity planning and maintenance task prioritization without using simulation models. The proposed system will investigate the mitigation of production uncertainties to reduce unscheduled downtime and the effective utilization of finite factory resources on the throughput-critical sections of a production system by detecting bottlenecks. This goal for such proposed joint maintenance and production decision optimization is to achieve a nearly balanced line status for any given production operation.If successful, the results of this research will establish a scientific knowledge base and provide an opportunity for creating optimal maintenance policies that can be used to effectively improve the performance of complex manufacturing systems as well as many other mission critical engineering systems. The developed ?smart? joint production and maintenance decision-making can have a significant impact for industrial applications such as automotive production systems.The results will be disseminated to allow industrial practitioners to apply these methods to achieve increased production efficiency, reduced cost, and improved competitiveness. Graduate and undergraduate engineering students will benefit through classroom instruction and involvement in the research. Students involved in this research will greatly benefit from the interdisciplinary research environment anticipated in this project, where mechanical, industrial, and electrical engineering science will be intertwined.