PECASE: A Unified Methodology for Variation Management and Reduction in Multistage Manufacturing Processes

提案标题：PECASE：多阶段制造过程中的变化管理和减少的统一方法机构：亚利桑那大学这个PECASE赠款赞助研究和教学工作，在开发一个统一的方法，在多阶段制造过程中的变化管理和减少（MMP）。MMP通常涉及生产产品的多个操作，其可以在许多工业过程中找到，例如汽车车身装配、加工线、渐进冲压和半导体制造。在MMP中，每个操作在没有故障发生时将固有的设计变化添加到工件变化，并且在故障发生时将特殊的可分配变化添加到工件变化。一个操作的输出工件是下一个操作的输入。最终产品差异是所有操作差异的累积。因此，在MMPs中，变异传播的特性非常复杂，取决于产品和工艺设计。该项目的研究工作将开发方法，通过同时解决设计和制造问题，以最小的差异实现目标生产。研究重点是开发：（a）一个基于数学的模型来描述在MMP的变化传播;（B）通过设计综合和优化的变化管理的综合方法;和（c）由工程模型驱动的统计方法，用于快速根本原因识别和产品缺陷预防。除了研究之外，还将开发新的课程和课程。项目将与业界、国际大学和K-12学校在研究和教育方面进行各种合作。如果成功，项目成果将丰富MMPs减少变异和过程控制方法的科学基础和技术，包括：MMP变化及其传播的（而不是经验的）建模;（B）合成（而不是分析）产品/过程公差，以优化固有设计变化的管理，最大限度地减少其对最终产品的影响;（c）实时根本原因识别（而不是变化检测），用于制造过程控制和持续改进;以及（d）在整个制造寿命期间预防缺陷的自动化（而不是缺陷检查）。开发的统一方法将在使用MMPs的工业部门产生重大的经济影响。该项目最初作为CAREER奖获得资助，并于2004年5月转换为总统工程师和科学家早期职业奖（PECASE）奖。

Proposal Title: PECASE: A Unified Methodology for Variation Management and Reduction in Multistage Manufacturing ProcessesInstitution: University of ArizonaThis PECASE grant sponsors research and teaching efforts in developing a unified methodology for variation management and reduction in Multistage Manufacturing Processes (MMPs). A MMP generally involves multiple operations to produce a product, which can be found in many industrial processes such as automotive body assembly, machining lines, progressive stamping, and semiconductor manufacturing. In a MMP, each operation adds inherent design variation when no fault occurs, and special assignable variation when a fault occurs, to the workpiece variation. The output workpiece of one operation is the input of the next operation. The final product variation is an accumulation of variation from all operations. Therefore, the characteristics of variation propagation is very complex in MMPs, depending on both product and process design. The research efforts in the project will develop methodologies to achieve on-target production with minimum variance by addressing both design and manufacturing concurrently. The research focus is to develop: (a) a math-based model to describe the variation propagation in a MMP; (b) an integrated methodology for variation management through design synthesis and optimization; and (c) statistical methods driven by engineering models for quick root cause identification and product defect prevention. In addition to research, new curriculums and courses will be developed. Various collaborative efforts with industry, international universities, and K-12 schools will be conducted in research and education in the project.If successful, the project results will enrich the science base and technologies in variation reduction and process control methodologies for MMPs, which include: (a) analytical (rather than empirical) modeling of MMP variation and its propagation; (b) synthesis (rather than analysis) of product/process tolerance for optimal management of inherent design variation to minimize their impact on final products; (c) real-time root-cause identification (rather than change detection) for manufacturing process control and continuous improvement; and (d) prognostics (rather than defect inspection) for defect prevention throughout the manufacturing lifetime. The developed unified methodology will generate significant economic impacts in industrial sectors where MMPs are used.This project was originally funded as a CAREER award, and was converted to a Presidential Early Career Award for Engineers and Scientists (PECASE) award in May 2004.