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A STUDY OF THE EFFECT OF VARIOUS DESIGN FACTORS ON THE PERFORMANCE OF COMPLEX PRODUCTION LINES.

机译:各种设计因素对复杂生产线性能的影响研究。

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摘要

This dissertation is a study of the effect of various design factors on the performance of production lines. A reveiw of past research on production lines reveals that the majority of production line models reported in the literature assume single server production stages with limited storage, and that although some analytical studies provide closed-form solutions, the study of manufacturing systems and the complex interactions between the stochastic design variables necessitates the use of simulation techniques. Historically, there have been few studies reported on the behavior of actual production lines.;A balanced, multi-server production line with an equal number of servers per stage, equal finite interstage storage capacity and line length varying from five to twenty-five production stages is studied to observe the effects of line length, in-process inventory capacity, number of servers per stage and worktime variability on the performance of the line. Worktime variability is measured by the coefficient of variation for the probability distribution governing worktimes. The effects of these factors on performance measures such as server utilization, average blocked time per server and average in-process inventory per stage are observed using a combination of simulation and statistical experimental design techniques. Regression predictor equations are developed to provide quantitative estimates of the performance measures in terms of the significant design factors.;Next, for purposes of comparison between actual and ideal production systems, a GEMS model of an operating production line is developed using actual data. Additional experimentation on constituent lines, within the main production line, shows the sensitivity of the production lines to changes in various parameters. The model incorporates complex situations such as machine failures, multiple product processing, and material rejections; and serves to illustrate GEMS modeling features and problem-solving capabilities. Further, the model development process illustrates the difference between actual and ideal systems.;Finally, an abstract production line model is used to analyze the steady-state and transient behavior of a special class of production systems known as ordered entry, multi-channel, heterogeneous server systems. A Runge-Kutta-England numerical integration technique is used to draw conclusions regarding the behavior of two, three, and four-channel systems with respect to the arrival rate of work material, number of service channels, in-process inventory capacity and heterogeneous service rates.;The availability of a new simulation technique known as GEMS (Generalized Manufacturing Simulator), recently developed at Texas A&M University, in part facilitated this study of production lines. A brief review of GEMS concepts and notation essential to the understanding of this work is included in this presentation.;The analysis of different types of production lines including an actual case study serves to illustrate the differences and similarities between actual and ideal systems. At the same time, this analysis provides significant information regarding their behavior.
机译:本文研究了各种设计因素对生产线性能的影响。对过去对生产线的研究的回顾表明,文献中报道的大多数生产线模型都假设单个服务器生产阶段的存储空间有限,并且尽管一些分析研究提供了封闭形式的解决方案,但制造系统的研究和复杂的相互作用随机设计变量之间必须使用仿真技术。从历史上看,很少有关于实际生产线性能的研究报告。平衡的多服务器生产线,每个阶段具有相等数量的服务器,相等的有限级间存储容量,生产线长度从五到二十五个不等研究阶段以观察生产线长度,过程中库存容量,每个阶段的服务器数量以及工作时间可变性对生产线性能的影响。工作时间变异性是由控制工作时间的概率分布的变异系数来衡量的。使用模拟和统计实验设计技术的组合,可以观察到这些因素对性能度量的影响,例如服务器利用率,每台服务器的平均阻塞时间和每个阶段的平均进程中库存。开发回归预测器方程,以便根据重要的设计因素对性能指标进行定量评估。接下来,为了比较实际生产系统和理想生产系统,使用实际数据开发了运行生产线的GEMS模型。在主生产线内对组成线进行的附加实验显示了生产线对各种参数变化的敏感性。该模型包含了复杂的情况,例如机器故障,多种产品处理和材料报废;并用于说明GEMS建模功能和解决问题的能力。进一步,模型开发过程说明了实际系统与理想系统之间的差异。最后,使用抽象生产线模型来分析特殊类型的生产系统(称为有序输入,多渠道,异构服务器系统。使用Runge-Kutta-England数值积分技术得出关于两个,三个和四个通道系统的行为的结论,这些系统关于工作物料到达率,服务通道数,过程中库存容量和异构服务德州农工大学最近开发了一种称为GEMS(通用制造仿真器)的新仿真技术,在某种程度上促进了对生产线的研究。本演示包括对GEMS概念和理解该工作必不可少的符号的简要回顾。包括实际案例研究在内的对不同类型生产线的分析有助于说明实际系统与理想系统之间的异同。同时,此分析提供了有关其行为的重要信息。

著录项

  • 作者

    DHARIA, VIJAY KALARAM.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Engineering Industrial.
  • 学位 Ph.D.
  • 年度 1980
  • 页码 241 p.
  • 总页数 241
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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