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DMAIC. DMAIC or define, measure, analyze, improve and control[ 1] (pronounced dÉ™-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 ...
Earned value management is a project management technique for measuring project performance and progress. It has the ability to combine measurements of the project management triangle: scope, time, and costs. In a single integrated system, EVM is able to provide accurate forecasts of project performance problems, which is an important aspect of ...
Beta distribution is a combination of probability theory and statistics, most commonly used in project management for time allocation and to analyse random variables. Critical path drag is a project management metric used to schedule analysis and compression in the critical path method of scheduling. Drag cost is the reduction in the expected ...
The program evaluation and review technique ( PERT) is a statistical tool used in project management, which was designed to analyze and represent the tasks involved in completing a given project . PERT was originally developed by Charles E. Clark for the United States Navy in 1958; it is commonly used in conjunction with the Critical Path ...
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 ...
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.
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 ...
In project management, trend analysis is a mathematical technique that uses historical results to predict future outcome. This is achieved by tracking variances in cost and schedule performance. In this context, it is a project management quality control tool. [4] [5]
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