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Data visualization. Volume II, Uncovering the hidden pattern in data using basic and new quality tools / Amar Sahay.

By: Material type: TextTextSeries: Quantitative approaches to decision making collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2017Edition: First editionDescription: 1 online resource (xii, 155 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781631577321
Other title:
  • Uncovering the hidden pattern in data using basic and new quality tools
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 001.4226 23
LOC classification:
  • QA76.9.I52 S2532 2017
Online resources:
Contents:
Graphical and visual tools for improving product and service quality -- 1. Overview and data visualization -- 2. Data and data analysis concepts -- 3. Systems processes and variation -- 4. Current trends in data visualization -- 5. Data visualization concepts and applications -- 6. Seven basic quality tools: graphical tools to solve quality problems -- 7. The seven new tools for quality improvement -- 8. Other visual information tools in quality improvement -- Bibliography -- Index.
Abstract: The focus of this book is on data visualization and information visualization tools--two major categories of data visualization. The first part discusses the concepts and applications related to data analysis, visualization, and the current trend in data visualization. A discussion of systems and processes is provided as all data are collected from systems and processes. A section emphasizes the importance of variation in data analysis since almost all data show variation and the visual tools are an excellent way to study, analyze, and reduce the variation in the processes. Applications illustrate how the visual tools are an excellent means of viewing the current state of the process and provide the opportunities for improvement. The second part of the book is devoted to quality tools, a set of graphical and information visualization tools in data analysis, decision making, and Lean Six Sigma quality programs. The key application areas of visual tools including the business process improvement, business data analysis, health care, finance, manufacturing engineering, process improvement, and product and process design are discussed. The two categories of visualization tools--seven basic tools and seven new tools of quality-- are discussed with their applications. The basic quality tools are Process Maps, Check Sheets, Histograms, Scatter Diagrams, Run Charts, Control Charts, Cause-and-Effect (Ishikawa) Diagrams, and Pareto Charts/ Analysis. The seven new tools of quality--a set of visuals used to solve quality problems using graphical and analytical techniques--include the Affinity Diagram, Interrelationship Digraph, Tree Diagram, Prioritizing Matrices, Matrix Diagram, Process Decision Program Chart, and Activity Network Diagram. Other information processing tools, such as QFD-- the quality function deployment/house of quality--and multivari charts, are discussed using commonly used software.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Ebrary Online Books Ebrary Online Books Colombo Available CBEBK70004120
Ebrary Online Books Ebrary Online Books Jaffna Available JFEBK70004120
Ebrary Online Books Ebrary Online Books Kandy Available KDEBK70004120
Total holds: 0

Enhanced descriptions from Syndetics:

This book discusses data and information visualization techniques-the decision-making tools with applications in health care, finance, manufacturing engineering, process improvement, product design, and others. These tools are an excellent means of viewing the current state of the process and improving them. The initial chapters discuss data analysis, the current trends in visualization, the concepts of systems and processes from which data are collected. The second part is devoted to quality tools-a set of graphical and information visualization tools in data analysis, decision-making, and Lean Six-Sigma quality. The eight basic tools of quality discussed are the Process Maps, Check Sheets, Histograms, Scatter Diagrams, Run Charts, Control Charts, Cause-and-Effect Diagrams, and Pareto Charts. The new quality tools presented are the Affinity, Tree, and Matrix Diagrams, Interrelationship Digraph, Prioritizing Matrices, Process Decision Program Chart, and Activity Network Diagram along with Quality Function Deployment (QFD) and Multivari Charts.

Includes bibliographical references (pages 147-149) and index.

Graphical and visual tools for improving product and service quality -- 1. Overview and data visualization -- 2. Data and data analysis concepts -- 3. Systems processes and variation -- 4. Current trends in data visualization -- 5. Data visualization concepts and applications -- 6. Seven basic quality tools: graphical tools to solve quality problems -- 7. The seven new tools for quality improvement -- 8. Other visual information tools in quality improvement -- Bibliography -- Index.

Access restricted to authorized users and institutions.

The focus of this book is on data visualization and information visualization tools--two major categories of data visualization. The first part discusses the concepts and applications related to data analysis, visualization, and the current trend in data visualization. A discussion of systems and processes is provided as all data are collected from systems and processes. A section emphasizes the importance of variation in data analysis since almost all data show variation and the visual tools are an excellent way to study, analyze, and reduce the variation in the processes. Applications illustrate how the visual tools are an excellent means of viewing the current state of the process and provide the opportunities for improvement. The second part of the book is devoted to quality tools, a set of graphical and information visualization tools in data analysis, decision making, and Lean Six Sigma quality programs. The key application areas of visual tools including the business process improvement, business data analysis, health care, finance, manufacturing engineering, process improvement, and product and process design are discussed. The two categories of visualization tools--seven basic tools and seven new tools of quality-- are discussed with their applications. The basic quality tools are Process Maps, Check Sheets, Histograms, Scatter Diagrams, Run Charts, Control Charts, Cause-and-Effect (Ishikawa) Diagrams, and Pareto Charts/ Analysis. The seven new tools of quality--a set of visuals used to solve quality problems using graphical and analytical techniques--include the Affinity Diagram, Interrelationship Digraph, Tree Diagram, Prioritizing Matrices, Matrix Diagram, Process Decision Program Chart, and Activity Network Diagram. Other information processing tools, such as QFD-- the quality function deployment/house of quality--and multivari charts, are discussed using commonly used software.

Title from PDF title page (viewed on March 9, 2017).

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