U.S.-Germany Cooperative Research: Stochastic Modeling and Statistical Analysis of Production Processes

美德合作研究：生产过程的随机建模和统计分析

• 批准号: 9603472
• 负责人: Richard Serfozo
• 金额: $ 2.02万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-04-15 至 2000-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9603472&HistoricalAwards=false
• 关键词: U.S.; Germany; Cooperative; Research; Stochastic

The aim of the research is to develop mathematical models for the design and control of production systems. Most research in this area has been for production networks where the services at nodes are independent of the other nodes. This research concentrates on networks with intricate dependencies between nodes, and on the intelligent, node- interdependent routing of parts. The object is to characterize the stationary probability distribution that describes throughput rates, bottlenecks, costs, and parts travel time for such networks. Such performance measures will form the core of a new generation of intelligent computer-monitored production flows in both large and small businesses.

研究的目的是建立数学模型，用于设计和控制 生产系统。 这一领域的大多数研究都是针对生产网络的， 节点处的服务独立于其它节点。 本研究集中于 网络与节点之间的复杂的依赖关系，并在智能，节点相互依赖的路由的部分。 目的是刻画平稳概率 分布，描述了生产率、瓶颈、成本和零件行程时间， 这样的网络。 这些业绩衡量标准将构成新一代 智能计算机监控大型和小型企业的生产流程。