• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >The applicability of statistical process control to systems involving people processes and business rhythms.
【24h】

The applicability of statistical process control to systems involving people processes and business rhythms.

机译：统计流程控制对涉及人员流程和业务节奏的系统的适用性。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Systems are increasing in size and becoming more complex, an ongoing trend for decades. Systems monitoring and control is a vital element of systems engineering that provides information on the behavior patterns of the system. This information has various purposes, including, but not limited to, managing and improving the system.;Systems go through various lifecycle phases from concept definition to operations and maintenance (O&M). As O&M activities can cost as much as 75% of a product's lifecycle cost, it is therefore important to effectively manage cost, optimize system "on" time, and mitigate defects/failures.;Statistical process control (SPC) in general, and control charts specifically, are the most widely used monitoring methods. The control chart provides alerts with respect to the behavior of systems and processes and changes in process variability, but relies on the normality of the underlying data. This constraint is easily satisfied in manufacturing and similar industries, where the natural variation in the process or system follows the Gaussian distribution.;Many systems today, particularly ones involving people processes and business rhythms, compromise the normality assumption and therefore appear to be poor candidates for SPC. This doctoral research focuses on the applicability and use of SPC in the O&M phase of a system where the analyzed data deviates from normality, for the express purpose of reducing the high costs by mitigating problems and uncovering inefficiencies. The target system is the Lockheed Martin Service Desk, and the challenges are the determination of the state of the process (in or out of control), and, additionally, when the process is out of control, which variable is the causing agent. Preliminary discoveries and results will be presented as part of this discussion.
机译：系统的规模不断扩大，变得越来越复杂，这是数十年来的趋势。系统监视和控制是系统工程的重要组成部分，可提供有关系统行为模式的信息。该信息具有多种目的，包括但不限于管理和改进系统。系统经历从概念定义到运营和维护（O＆M）的各个生命周期阶段。由于运维活动的成本可能高达产品生命周期成本的75％，因此有效管理成本，优化系统“开机”时间并减少缺陷/故障非常重要。;一般而言，统计过程控制（SPC）和控制特别是图表，是使用最广泛的监视方法。控制图提供有关系统和流程的行为以及流程可变性变化的警报，但要依赖基础数据的正常性。在制造和类似行业中，过程或系统的自然变化遵循高斯分布，很容易满足此约束条件；当今的许多系统，特别是涉及人员过程和业务节奏的系统，会损害正态性假设，因此似乎不适合用于SPC。这项博士研究专注于SPC在系统的O＆M阶段的适用性和使用，在该阶段，分析的数据与正常情况有所不同，其明确目的是通过减轻问题和发现低效率来降低高成本。目标系统是洛克希德·马丁公司的服务台，面临的挑战是确定过程状态（处于控制状态或处于失控状态），此外，当过程失控时，哪个变量将成为原因。初步发现和结果将作为此次讨论的一部分。

著录项

  • 作者

    Dever, Jason Robert.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Statistics.;Engineering System Science.;Information Science.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 131 p.
  • 总页数 131
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 统计学;信息与知识传播;系统科学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号