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The seven tools are: [3] [4] [5] Cause-and-effect diagram (also known as the "fishbone diagram" or Ishikawa diagram) Check sheet; Control chart; Histogram; Pareto chart; Scatter diagram; Stratification (alternatively, flow chart or run chart) The designation arose in postwar Japan, inspired by the seven famous weapons of Benkei. [6]
A control chart is a more specific kind of run chart. The control chart is one of the seven basic tools of quality control, which also include the histogram, pareto chart, check sheet, cause and effect diagram, flowchart and scatter diagram. Control charts prevent unnecessary process adjustments, provide information about process capability ...
Control-flow diagrams were developed in the 1950s, and are widely used in multiple engineering disciplines. They are one of the classic business process modeling methodologies, along with flow charts, drakon-charts, data flow diagrams, functional flow block diagram, Gantt charts, PERT diagrams, and IDEF. [2]
The first structured method for documenting process flow, the flow process chart, was introduced by Frank Gilbreth to members of ASME in 1921 as the presentation “Process Charts—First Steps in Finding the One Best Way”. Gilbreth's tools were quickly integrated into industrial engineering curricula.
The control chart is one of the seven basic tools of quality control. [6] Typically control charts are used for time-series data, also known as continuous data or variable data. Although they can also be used for data that has logical comparability (i.e. you want to compare samples that were taken all at the same time, or the performance of ...
A more sophisticated SPC chart may include "control limit" & "spec limit" % lines to indicate whether/what action should be taken. 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 ...
Analysis: In this step, various tools for quality analysis are used. This includes Control charts, Pareto charts, cause-and-effect diagrams, scatter diagrams, and histograms. 4. Action: Based on the analysis, an action is taken. 5. Study: The results are studied to see if they conform to what was expected and to learn from what was not expected ...
An introduction to MSA can be found in chapter 8 of Doug Montgomery's Quality Control book. [2] These tools and techniques are also described in the books by Donald Wheeler [3] and Kim Niles. [4] Advanced procedures for designing MSA studies can be found in Burdick et al. [5] Equipment: measuring instrument, calibration, fixturing.