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

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随机变量。 它的分布既表征了产量，又表征了产量的变异性。 许多出版物对产量进行了分析。 相比之下，生产变异性已经在最近的几篇文章中进行了研究，其中大部分生产差异已经得到解决。 虽然是一个有用的性能指标，但它只提供了生产可变性的一般理论表征。事实上，方差的知识还没有指定的概率与whicha固定的航运时间表是满意的。最近，一种新的可变性措施，称为交货期性能（DTP）和定义为概率，以满足航运计划，已被引入。 本项目的目标是从DTP的角度开发生产系统的分析和设计方法，并将这些方法应用于汽车行业。 具体来说，以下分析问题将被解决：给定一个生产系统，开发一个建设性的，分析技术DTP评估。将研究两个设计问题。 直接问题：根据机器的可靠性特点和客户对装运间隔和装运尺寸的要求，设计产品交付系统，以满足DTP要求。 逆问题：给定客户要求和产品交付系统，确定满足给定DTP所需的机器的可靠性特征。 如果成功，该项目将提供严格的工程工具，分析和设计的生产系统在精益制造环境中的拉动制度。 它们的实施将导致有可能“计算”一个产品交付系统，而不是根据今天使用的临时技术来选择。

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.