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Six Sigma Templates

Excel six sigma templates for process management

Excel Six Sigma Templates

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Six Sigma Templates for Excel are a focused collection of Excel templates for six sigma and statistical quality management purposes. A template menu is provided to allow the creation of a six sigma or quality control analysis and chart that automatically calculates with input data or data linked from other sources.

Key Excel six sigma templates include:
  • X-bar and R Chart - for monitoring and analyzing data collected at regular intervals from business and industrial processes.
  • X-bar and Chart - for measuring multiple observations and outcomes on an interval scale.
  • Individual and Moving Charts - for monitoring variable data from business and manufacturing processes where impractical to use rational subgroups.
  • c-Chart - for monitoring the number of nonconforming attributes per unit total number of events occurring during a period of time.
  • u-Chart - for monitoring the average number of nonconforming attributes in process data where the sample size is greater than one unit.
  • p-Chart - for monitoring proportions of nonconforming units in samples as a ratio to total sample size.
  • np-Chart - for monitoring the number of nonconforming units in a process based on real numbers of units as opposed to a proportion.
  • Histogram Chart - for visualizing the distribution of data in processes.
  • Pareto Chart - for combining individual values as bars in descending order and the cumulative total as a line.
  • Radar Chart - for visualizing multivariate process data within a two-dimensional chart of three or more quantitative variables represented on axes starting from the same base point.
  • Performance Gap Analysis Chart – for comparing actual performance with potential performance.
  • Positioning Chart - for displaying the relationships among aspects of a process problem in terms of their relative position within a two dimensional scale.
  • Scatter Chart - for creating a analyzing the spread and convergence of process data using Cartesian coordinates to display values for two variables.
  • Benchmarking Chart - for monitoring aspects of process performance against standardized base values.
  • Cost of Quality Analysis - for displaying a tree model detailing the cost of good quality (conformance) and the cost of poor quality (non-conformance).
  • Force Field Analysis- for developing a framework to analyze factors and forces that influence a process.
  • Baldrige Scorecard - for developing development of a strategy map and aligned balanced scorecard as a framework for process improvement.
  • One page Dashboard Report - an executive summary report of six sigma metrics.
  • SIPOC - for mapping the flow and relationships between suppliers, inputs, process, outputs and customers.
  • House of Quality - for defining the relationships between customer requirements and the process capabilities.
  • Check Sheet - for monitoring and resolving errors, defects and problems within processes
  • Fishbone Cause and Effect Diagram - for tracking causal diagrams to identify quality defect prevention and potential factors causing an overall effect in a process.

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(Updated on 2024-05-01)

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