GOALI: Quality Analysis in Flexible Manufacturing Systems: A Systems Approach

GOALI：柔性制造系统中的质量分析：系统方法

• 批准号: 1114263
• 负责人: Jingshan Li
• 金额: $ 12.48万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-30 至 2011-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1114263&HistoricalAwards=false
• 关键词: GOALI; Quality; Analysis; Flexible; Manufacturing

This Grant Opportunity for Academic Liaison with Industry (GOALI) award provides funding for the establishment of an analytical framework to investigate the impact of flexibility on product quality in flexible manufacturing systems and application of the results to production systems at General Motors. Specifically, the work includes deriving a method to address the analytical modeling for quality performance in flexible manufacturing systems, developing an approach to Identify the machine and the product type that impede the quality performance in the strongest manner, i.e., bottleneck machine and product, investigating the appropriate batch size or production sequence so that both the quality requirements and customer orders are satisfied, and finally, implementing the techniques to the painting and machining operations at General Motors manufacturing plants. The approach of the research would be based on analytical investigation of Markov processes that describe the flexible systems at hand. Quality performance will be modeled as a function of transitions among multiple states characterized by product types and sequences, and propagation of quality variations among the machines. The challenge of this research lies in discovering an appropriate mathematical description of such function and its arguments.If successful, the results of this research will establish a novel analytical method to study the interaction between flexibility and quality, and to provide insights for production system design from the point of view of quality. Such a method will enable us to evaluate quality performance, identify bottlenecks, and design scheduling policies (sequencing and batching) to achieve the best quality and reliable demand satisfaction. The successful completion of this research will open up a new direction in manufacturing systems research and build a solid foundation for integrated study of cost, productivity, quality and flexibility. Furthermore, it will provide production engineers with quantitative tools for analysis, improvement, and design of flexible manufacturing systems with respect to quality. Finally, the results obtained will be applicable not only to automotive but also to other manufacturing industries (e.g., semiconductor, appliance, etc.) as well.

该“学术与工业联络机会”(GOALI) 奖项为建立分析框架提供资金，以研究柔性制造系统中灵活性对产品质量的影响以及将结果应用于通用汽车的生产系统。具体来说，这项工作包括推导一种方法来解决柔性制造系统中质量性能的分析建模问题，开发一种方法来识别以最强方式阻碍质量性能的机器和产品类型，即瓶颈机器和产品，研究适当的批量大小或生产顺序，以满足质量要求和客户订单，最后将该技术应用于通用汽车制造工厂的喷漆和机加工操作。研究方法将基于对描述现有灵活系统的马尔可夫过程的分析研究。质量性能将被建模为以产品类型和序列为特征的多个状态之间的转换以及机器之间质量变化的传播的函数。这项研究的挑战在于找到这种函数及其论证的适当数学描述。如果成功，这项研究的结果将建立一种新颖的分析方法来研究灵活性和质量之间的相互作用，并从质量的角度为生产系统设计提供见解。这种方法将使我们能够评估质量绩效、识别瓶颈并设计调度策略（排序和批处理），以实现最佳质量和可靠的需求满足。该研究的成功完成将为制造系统研究开辟新的方向，为成本、生产率、质量和灵活性的综合研究奠定坚实的基础。此外，它还将为生产工程师提供定量工具，用于分析、改进和设计柔性制造系统的质量。最后，获得的结果不仅适用于汽车，也适用于其他制造行业（例如半导体、家电等）。