Pareto diagram


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Software Quality Management
Anna University Syllabus
About Pareto Diagram

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Pareto diagram

  1. 1. Pareto chart 1 Pareto chart Pareto chart One of the Seven Basic Tools of Quality First described by Joseph M. Juran Purpose To assess the most frequently-occurring defects by category† A Pareto chart, named after Vilfredo Pareto, is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the cumulative total is represented by the line. The left vertical axis is the frequency of occurrence, but it can alternatively represent cost or another important unit of measure. The right vertical axis is the cumulative percentage of the total number of occurrences, total cost, or total of the particular unit of measure. Because the reasons are in decreasing order, the cumulative function is a concave function. To take the example above, in order to lower the amount of late arriving by 80%, it is sufficient to solve the first three issues. The purpose of the Pareto chart is to highlight the most important among a Simple example of a Pareto chart using hypothetical data showing the relative frequency (typically large) set of factors. In of reasons for arriving late at work quality control, it often represents the most common sources of defects, the highest occurring type of defect, or the most frequent reasons for customer complaints, and so on. These charts can be generated by simple spreadsheet programs, such as Calc and Microsoft Excel and specialized statistical software tools as well as online quality charts generators. The Pareto chart is one of the seven basic tools of quality control.[1]
  2. 2. Pareto chart 2 References [1] Nancy R. Tague (2004). "Seven Basic Quality Tools" (http:/ / www. asq. org/ learn-about-quality/ seven-basic-quality-tools/ overview/ overview. html). The Quality Toolbox. Milwaukee, Wisconsin: American Society for Quality. p. 15. . Retrieved 2010-02-05. Further reading • Hart, K. M., & Hart, R. F. (1989). Quantitative methods for quality improvement. Milwaukee, WI: ASQC Quality Press. • Juran, J. M. (1962). Quality control handbook. New York: McGraw-Hill. • Juran, J. M., & Gryna, F. M. (1970). Quality planning and analysis. New York: McGraw-Hill. • Montgomery, D. C. (1985). Statistical quality control. New York: Wiley. • Montgomery, D. C. (1991). Design and analysis of experiments, 3rd ed. New York: Wiley. • Pyzdek, T. (1989). What every engineer should know about quality control. New York: Marcel Dekker. • Vaughn, R. C. (1974). Quality control. Ames, IA: Iowa State Press.
  3. 3. Article Sources and Contributors 3 Article Sources and Contributors Pareto chart  Source:  Contributors: A. B., AbsolutDan, Anonymous Dissident, AugPi, BlckKnght, Boxplot, Celique, Ck lostsword, Cootha, Craigwb, DanielPenfield,, DylanW, Elbac14, Feureau, Gribeco, Hu12, Imroy, Irishguy, Kormie, LilHelpa, MBlakley, MdG, Melcombe, Metacomet, Michael Hardy, NajaB, NawlinWiki, Nbarth, Nlskrg, Noe, Nubiatech, ParetoDaddy, PhilKnight, Pm master, Pscott22, Ronz, Rupertb, Seav, Srleffler, Stevegallery, Stillnotelf, SueHay, T-turtle, Taffykins, Takahashi J, Top Jim, Tuyvan, Verne Equinox, Waycool27, WoodenBooks, 85 anonymous edits Image Sources, Licenses and Contributors Image:Pareto chart of titanium investment casting defects.svg  Source:  License: GNU Free Documentation License  Contributors: User:DanielPenfield File:Pareto.PNG  Source:  License: Public Domain  Contributors: Original uploader was Metacomet at en.wikipedia License Creative Commons Attribution-Share Alike 3.0 Unported http:/ / creativecommons. org/ licenses/ by-sa/ 3. 0/