Research Initiation: Complexity in Manufacturing Systems --Impact on Design, Operations, and System Performance

研究启动：制造系统的复杂性——对设计、操作和系统性能的影响

• 批准号: 9410078
• 负责人: Abhijit Deshmukh
• 金额: $ 10万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-01 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9410078&HistoricalAwards=false
• 关键词: Research; Initiation; Complexity; Manufacturing; Systems

9410078 Deshmukh This research addresses the problem of decision making difficulty or complexity in a manufacturing system characterized by the integration of several subsystems. The underlying premise to the proposed study is that integration of multiple functions and elements in manufacturing increases a system's complexity or the difficulty of making decisions regarding the system. Specifically, the research will define complexity, establish metrics for measuring complexity, study the relationship between design and control parameters and complexity, and suggest methods for controlling complexity. The outcome of the research will improve the understanding of the effects of integration on decision making difficulty in manufacturing systems. Furthermore, the quality of decisions made as the complexity of a system changes can be analyzed and perhaps, have confidence levels attached to them. Improved understanding of the effect of integration on manufacturing complexity can lead to better modeling and analysis of manufacturing systems.

9410078 Deshmukh这项研究解决了以多个子系统集成为特征的制造系统中的决策难度或复杂性问题。拟议研究的基本前提是，制造业中多种功能和要素的集成增加了系统的复杂性或系统决策的难度。具体地说，研究将定义复杂性，建立衡量复杂性的度量标准，研究设计和控制参数与复杂性之间的关系，并提出控制复杂性的方法。研究结果将有助于加深对集成对制造系统决策难度影响的理解。此外，可以分析随着系统变化的复杂性而做出的决策的质量，并且可能具有附加的置信度。更好地理解集成对制造复杂性的影响可以导致更好地对制造系统进行建模和分析。