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The Applicability of Statistical Process Control to Systems Involving People Processes and Business Rhythms

机译：统计过程控制在涉及人员流程和业务节奏的系统中的适用性

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摘要

The operation and maintenance (O&M) activities of systems can account for 75% of total lifecycle cost. To effectively manage cost, optimize system "on" time, and mitigate defects/failures during the O&M phase of a system's lifecycle, the application of systems monitoring and control is encouraged. Statistical process control (SPC) in general, the control chart specifically, is the most common monitoring approach. The control chart provides alerts with respect to the behavior of systems and processes, as well as changes in process variability. Data applied to control charts is assumed to adhere to a normal distribution, a constraint often satisfied in manufacturing and similar industries where the natural variation in the process or system follows the Gaussian distribution. Systems involving people processes and business rhythms can compromise the normality assumption, reducing the reliability of SPC. Through the application of SPC, this paper proposes a novel approach to monitoring operational systems in the systems engineering O&M phase for the express purpose of reducing high costs by mitigating system discrepancies and uncovering inefficiencies. This paper focuses on processes that require 100% system data sampling due to the operational nature of the system.
机译：系统的运维（O＆M）活动可占总生命周期成本的75％。为了有效管理成本，优化系统“开机”时间并减轻系统生命周期的O＆M阶段的缺陷/故障，鼓励使用系统监视和控制。通常，统计过程控制（SPC），特别是控制图，是最常见的监视方法。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。假定应用于控制图的数据符合正态分布，这是制造和类似行业（过程或系统中的自然变化遵循高斯分布）经常满足的约束。涉及人员流程和业务节奏的系统可能会损害正常性假设，从而降低SPC的可靠性。通过SPC的应用，本文提出了一种新颖的方法来监视系统工程O＆M阶段中的操作系统，其明确目的是通过减轻系统差异和发现低效率来降低高成本。本文着重于由于系统的操作性质而需要100％系统数据采样的过程。

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