课题基金 / 基金详情

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

Short-Term Joint Maintenance and Production Decision Support Tool of Manufacturing Systems
制造系统短期联合维护和生产决策支持工具
批准号:
0825789
负责人:
Jun Ni
金额:
$27.87万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-01-01 至 2012-12-31

项目摘要

项目成果

Jun Ni的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Joining of Dissimilar Materials through a Novel Hybrid Friction Stir Resistance Spot Welding Process
GOALI: Precision Measurement and Control of Machined Surfaces using Digital Holographic Data
I/UCRC FRP: Collaborative Research on Event-based Analytics for Enhanced Prognostics Design in a Big Data Environment
Investigation of Electro-Plastic Effect on Advanced High Strength Steels and Its Application in Friction Stir Joining of Dissimilar Material
国内基金
海外基金
区域碳交易试点的运行机制及其经济影响研究---基于Term-Co2模型