Due-Time Performance in Production Systems with Finished Good Buffers: A Systems Approach

具有成品良好缓冲区的生产系统的到期性能：系统方法

• 批准号: 9820580
• 负责人: Semyon Meerkov
• 金额: $ 39.54万
• 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: 1999
• 资助国家: 美国
• 起止时间: 1999-06-01 至 2003-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9820580&HistoricalAwards=false
• 关键词: Due; Time; Performance; Production; Systems

In production systems with unreliable machines, the number of parts produced during a fixed interval of time is a random variable. Its distribution characterizes both the production volume and the productionvariability. The production volume has been analyzed in many publications. In contrast, the production variability has been studied in just a few recent articles where mostly production variance has been addressed. Although a useful measure of performance, it offers only a general, theoretical characterization of the production variability. Indeed, knowledge of the variance does not yet specify the probability with whicha fixed shipping schedule is satisfied. Recently, a new variability measure, referred to as the Due-Time Performance (DTP) and defined as the probability to satisfy a shipping schedule, has been introduced. The goal of this project is to develop methods for analysis and design of production systems from the point of DTP and to apply these methods in the automotive industry. Specifically, the following analysis problem will beaddressed: Given a production system, develop a constructive, analytical technique for DTP evaluation. Two design problems will be investigated. Direct problem: Given the reliability characteristics of the machines and the customer requirements on the shipping interval and shipment size, design a product delivery system so that DTP requirements are satisfied. Inverse problem: Given the customer requirements and the product delivery system, determine reliability characteristics of the machines required to satisfy a given DTP. If successful, this project will provide rigorous engineering tools for analysis and design of production systems in lean manufacturing environment operating in the pull regime. Their implementation will leadto a possibility of "calculating" a product delivery system rather than selecting it on the basis of ad hoc techniques in use today.

在具有不可靠机器的生产系统中，在固定时间间隔内生产的零件数量是一个随机变量。其分布特点是产量和生产变异性。许多出版物对产量进行了分析。相比之下，最近的几篇文章研究了产品的可变性，其中主要讨论了产品的可变性。虽然是一种有用的性能度量，但它只能提供生产变异性的一般理论特征。事实上，对方差的了解还不能指定满足固定运输计划的概率。最近，引入了一种新的可变性度量，称为准时性能（DTP），定义为满足运输计划的概率。该项目的目标是从DTP的角度开发分析和设计生产系统的方法，并将这些方法应用于汽车工业。具体来说，以下分析问题将被解决：给定一个生产系统，开发一种建设性的分析技术来评估DTP。我们将研究两个设计问题。直接问题：考虑到机器的可靠性特点和客户对发货间隔和发货规模的要求，设计一个满足DTP要求的产品交付系统。反问题：给定客户需求和产品交付系统，确定满足给定DTP所需的机器的可靠性特性。如果成功，该项目将为精益生产环境中生产系统的分析和设计提供严格的工程工具。它们的实现将导致“计算”产品交付系统的可能性，而不是根据目前使用的特殊技术来选择它。