A System Theory for Production Lines: Improvability

生产线的系统理论：可改进性

• 批准号: 9531694
• 负责人: Semyon Meerkov
• 金额: $ 35.8万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-05-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9531694&HistoricalAwards=false
• 关键词: System; Theory; Production; Lines; Improvability

9531694 Meerkov This research concerns the application of rigorous mathematical analysis from systems theory to improve output rate of production lines by better allocation of resources. It is an innovative approach to the "bottleneck " problem. The researchers have developed a theory of improvability, where a production system is considered improvable under constraints if limited resources such as work -in-process or workforce can be redistributed so that a performance index (usually production rate) can be increased. Here, improvement, rather than optimality, is looked for, since it is often impossible to determine optimality due to the extremely complex mathematical nature of production systems. The research will also investigate unconstrained improvability, namely determining the machine, device, or assembly station that impedes the systems performance in the strongest manner, i.e., the bottleneck. The approach of the research is based on sound mathematical principles which result in usable operating rules for the "shop" floor. The researchers have excellent industry ties, and the theoretical results are constantly evaluated in real industrial environments.

9531694梅尔科夫 本研究系应用系统论中严谨的数学分析方法，借由更佳的资源配置，来提高生产线的产出率。 这是解决“瓶颈“问题的创新方法。 研究人员开发了一种可改进性理论，其中生产系统被认为是在约束条件下可改进的，如果有限的资源，如在制品或劳动力可以重新分配，以便提高性能指标（通常是生产率）。 在这里，改进，而不是最优性，是寻找，因为它往往是不可能的，以确定最优性，由于极其复杂的数学性质的生产系统。 该研究还将调查无约束的可改进性，即确定以最强烈的方式阻碍系统性能的机器，设备或装配站，即，瓶颈。 研究的方法是基于健全的数学原理，导致可用的操作规则的“车间”地板。 研究人员有很好的行业联系，理论结果不断在真实的工业环境中进行评估。