Seven Basic Tools of Quality - Quality Control
ConceptDraw PRO diagramming and vector drawing software extended with Seven Basic Tools of Quality solution from the Quality area of ConceptDraw Solution Park provides effective tools for quality control and helps design any types of quality-related diagrams.Seven Basic Tools of Quality
Manage quality control in the workplace, using fishbone diagrams, flowcharts, Pareto charts and histograms, provided by the Seven Basic Tools of Quality solution.
Seven Basic Tools of Quality - Histogram
A histogram is a chart which visually displays a distribution of numerical data. ConceptDraw PRO diagramming and vector drawing software offers a powerful Seven Basic Tools of Quality solution from the Quality area of ConceptDraw Solution Park which contains a set of useful tools for easy drawing Histogram and other quality related diagrams of any complexity.TQM Diagram Tool
The Total Quality Management Diagram solution helps you and your organization visualize business and industrial processes. Create Total Quality Management diagrams for business process with ConceptDraw software.Probability Quality Control Tools
The Total Quality Management Diagram solution helps your organization visualize business and industrial processes. Create Total Quality Management diagrams for business process with ConceptDraw software.Quality Management System
ConceptDraw PRO diagramming and vector drawing software extended with Total Quality Management (TQM) Diagrams solution from the Quality area of ConceptDraw Solution Park perfectly suits for development and visually representing a Quality Management System.Total Quality Management with ConceptDraw
Total Quality Management (TQM) system is the management method where the confidence in quality of all organization processes is placed foremost. The given method is widely used in production, in educational system, in government organizations and so on.Organizational Structure Total Quality Management
The Total Quality Management Diagram solution helps you and your organization visualize business and industrial processes. Create Total Quality Management diagrams for business process with ConceptDraw software.A Study of the Business Value of Total Quality Management
The Total Quality Management Diagram solution helps your organization visualize business and industrial processes. Create Total Quality Management diagrams for business process with ConceptDraw software.Best Value — Total Quality Management
The Total Quality Management Diagram solution helps your organization visualize business and industrial processes. Create Total Quality Management diagrams for business process with ConceptDraw software.Quality Improvement
Constant improvement of key performance indicators that are related to quality is a step in the right direction for a company interested in market growth.Total Quality Management
The desire to encourage the production of competitive goods led to the establishment of new method of continuous quality improvement of all organizational processes, production and service. This method successfully launched in Japan and the USA was named Total Quality Management (TQM). Now, the TQM is a dynamically developed concept, a strategic approach to management that is based on manufacturing goods or services of the best quality among innovative counterparts from the point of view of consumers. The main idea of TQM is that the company should work not only on the product quality, but also on the quality of company's work, including the work of staff. The constant parallel improvement of product quality, quality of organization processes, level of qualification the personnel allow to achieve more rapid and effective business development. Mind Maps are effective in a field of quality management and allow to structure all key quality points on one page. This Mind Map designed in ConceptDraw MINDMAP software illustrates the well-known Total Quality Management (TQM) methodology.Quality Mind Map
This solution extends ConceptDraw MINDMAP software with Quality Management Mind Maps (Presentations, Meeting Agendas, Problem to be solved).
This example was drawn on the base of fig. 13 "Scatter plot of DCAPE versus 0-6 km mean wind" from the article "Examination of Derecho Environments Using Proximity Soundings" by Jeffry S. Evans on the website of Storm Prediction Center, National Oceanic and Atmospheric Administration.
"Figure 13 suggests the existence of an inverse relationship between DCAPE and mean wind when considering all derechos. Careful examination of this figure shows that this is the result of the separation into SF, WF, and hybrid categories; the SF cases are found in the upper left part of the figure, the WF cases are found in the lower right part, and the hybrid cases are in between, with some hint that they are more like the WF cases than the SF cases." [spc.noaa.gov/ publications/ evans/ bowpaper/ bowpaper.htm]
"In stratified sampling, the population is partitioned into non-overlapping groups, called strata and a sample is selected by some design within each stratum. ...
The principal reasons for using stratified random sampling rather than simple random sampling include:
1. Stratification may produce a smaller error of estimation than would be produced by a simple random sample of the same size. This result is particularly true if measurements within strata are very homogeneous.
2. The cost per observation in the survey may be reduced by stratification of the population elements into convenient groupings.
3. Estimates of population parameters may be desired for subgroups of the population. These subgroups should then be identified." [onlinecourses.science.psu.edu/ stat506/ node/ 27]
The multiserial scatterplot "Starification diagram example" was created using the ConceptDraw PRO software extended with the Seven Basic Tools of Quality solution from the Quality area of ConceptDraw Solution Park.
"Figure 13 suggests the existence of an inverse relationship between DCAPE and mean wind when considering all derechos. Careful examination of this figure shows that this is the result of the separation into SF, WF, and hybrid categories; the SF cases are found in the upper left part of the figure, the WF cases are found in the lower right part, and the hybrid cases are in between, with some hint that they are more like the WF cases than the SF cases." [spc.noaa.gov/ publications/ evans/ bowpaper/ bowpaper.htm]
"In stratified sampling, the population is partitioned into non-overlapping groups, called strata and a sample is selected by some design within each stratum. ...
The principal reasons for using stratified random sampling rather than simple random sampling include:
1. Stratification may produce a smaller error of estimation than would be produced by a simple random sample of the same size. This result is particularly true if measurements within strata are very homogeneous.
2. The cost per observation in the survey may be reduced by stratification of the population elements into convenient groupings.
3. Estimates of population parameters may be desired for subgroups of the population. These subgroups should then be identified." [onlinecourses.science.psu.edu/ stat506/ node/ 27]
The multiserial scatterplot "Starification diagram example" was created using the ConceptDraw PRO software extended with the Seven Basic Tools of Quality solution from the Quality area of ConceptDraw Solution Park.
TQM Diagram — Professional Total Quality Management
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