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Statistical process control ( SPC) or statistical quality control ( SQC) is the application of statistical methods to monitor and control the quality of a production process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste scrap. SPC can be applied to any process where ...
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [ 1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
DMAIC. DMAIC or define, measure, analyze, improve and control[ 1] (pronounced də-MAY-ick) refers to a data-driven improvement cycle used for optimizing and stabilizing business processes and designs. The DMAIC improvement cycle is the core tool used to drive Six Sigma projects. However, DMAIC is not exclusive to Six Sigma and can be used as ...
The process capability is a measurable property of a process to the specification, expressed as a process capability index (e.g., C pk or C pm) or as a process performance index (e.g., P pk or P pm ). The output of this measurement is often illustrated by a histogram and calculations that predict how many parts will be produced out of ...
Consider a quality characteristic with a target of 100.00 μm and upper and lower specification limits of 106.00 μm and 94.00 μm, respectively. If, after carefully monitoring the process for a while, it appears that the process is out of control and producing output unpredictably (as depicted in the run chart below), one can't meaningfully estimate its mean and standard deviation.
Performance measurement is the process of collecting, analyzing and/or reporting information regarding the performance of an individual, group, organization, system or component. [dubious – discuss][ 1] Definitions of performance measurement tend to be predicated upon an assumption about why the performance is being measured. [ 2]
In addition, data from the process can be used to predict the future performance of the process. If the chart indicates that the monitored process is not in control, analysis of the chart can help determine the sources of variation , as this will result in degraded process performance. [ 4 ]
The process areas below and their maturity levels are listed for the CMMI for Development model: Maturity Level 2 - Managed. CM - Configuration Management. MA - Measurement and Analysis. PMC - Project Monitoring and Control. PP - Project Planning. PPQA - Process and Product Quality Assurance. REQM - Requirements Management.