Process Control in Batch Manufacturing: Dynamics and Coordination

批量制造中的过程控制：动态与协调

• 批准号: 9523029
• 负责人: David Yao
• 金额: $ 18.9万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-10-01 至 1999-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9523029&HistoricalAwards=false
• 关键词: Process; Control; Batch; Manufacturing; Dynamics

This research is focused on the problem of quality control in a batch manufacturing system. Its aim is to develop techniques for identifying policies and control measures to apply to quality control problems. The techniques are described as dynamic in the sense that they are not limited to parametric designs but also consider the finding of policies and controls. The focus is on sequential techniques. Sequential techniques make use of the dynamic information that result from testing and process monitoring. Process control will be studied with other related logistics issues in batch manufacturing. In particular, the research will proceed along the following directions: (1) inter-stage coordination under capacity constraint, (2) coordination among production, inspection, and process revision, (3) coordination among subassembly operations and substitutable components, and (4) computation, approximation, and aggregation techniques. The research also aims at identifying certain optimal sequential procedures and revealing their structural properties, particularly, optimal sequential policie s with threshold structures. The basic methodology underlying the research emphasis is Markovian decision programming incorporated with the use of stochastic comparison techniques, including those based on the notion of stochastic convexity and stochastic submodularity. This research will yield several benefits if successful. It will advance the state of knowledge in quality control in batch manufacturing. In particular, the effectiveness of the sequential contrml policies, the importance of quality dynamics, and the coordination of process control with other production logistics represent key contributions. In addition, there will be new industrial technology findings based on the research. Finally, there are some educational gains as well. The research will present new teaching materials for an engineering course in dynamic process control. This way, next generation engineers will benefit from the research by taking the knowledge gained from the course to their various employing organizations.

本文主要研究了批量制造系统中的质量控制问题。它的目的是开发用于识别政策和控制措施的技术，以应用于质量控制问题。这些技术被描述为动态的，因为它们不仅限于参数设计，还考虑了政策和控制的发现。重点放在顺序技术上。顺序技术利用测试和过程监控产生的动态信息。过程控制将与批量生产中的其他相关物流问题一起研究。具体地说，研究将沿着以下方向进行：(1)能力约束下的阶段间协调；(2)生产、检验和工艺修订之间的协调；(3)子装配操作和可替代部件之间的协调；(4)计算、近似和聚合技术。研究还旨在找出某些最优序列过程并揭示它们的结构性质，特别是具有阈值结构的最优序列策略S。研究重点的基本方法是马尔可夫决策规划，结合使用随机比较技术，包括基于随机凸性和随机子模数概念的技术。如果成功，这项研究将产生几个好处。对提高批量生产中质量控制的知识水平有一定的参考价值。特别是，顺序控制政策的有效性、质量动态的重要性以及过程控制与其他生产物流的协调是关键贡献。此外，根据这项研究，还将有新的工业技术发现。最后，还有一些教育上的收获。本研究将为工程课程《动态过程控制》提供新的教材。这样，下一代工程师将从研究中受益，将从课程中学到的知识带到他们的各个雇佣组织。