J Ledolter
Statistical Quality Control – Stategies and Tools for Continual Improvement
Strategies and Tools for Continual Improvement
Paperback Engels 1998 9780471183785
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This text provides the reader with a general and widely–applicable problem solving strategy for use in quality improvement. It covers a variety of statistical and "non–statistical" problem–solving tools, and discusses techniques that are useful when problems are solved by groups or teams of people. It also shows how the success of problem solving is influenced by the style of management and the type of management–employee interaction.
Specificaties
ISBN13:9780471183785
Taal:Engels
Bindwijze:paperback
Aantal pagina's:544
Uitgever:John Wiley & Sons
Hoofdrubriek:Inkoop en logistiek, Algemeen management
Lezersrecensies
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Inhoudsopgave
<p>Introduction</p>
<p>Detecting and Prioritizing Problems</p>
<p>Problem–Solving Strategies</p>
<p>Group–Based Problem Solving</p>
<p>The Reward Structure: The Human Side of Problem Solving</p>
<p>Measurements and Their Importance for Quality</p>
<p>Analysis of Information: Graphical Displays and Numerical Summaries</p>
<p>Modeling Variability: An Introduction to Probability Distributions</p>
<p>Sample Surveys</p>
<p>Statistical Inference Under Simple Random Sampling</p>
<p>Acceptance Sampling Plans</p>
<p>Statistical Process Control: Control Charts</p>
<p>Process Capability and PRE–Control</p>
<p>Principles of Effective Experimental Design</p>
<p>Analysis of Data from Effective Experimental Designs and an Introduction to Factorial Experiments</p>
<p>Taguchi Design Methods for Product and Process Improvement</p>
<p>Regression Analysis: A Useful Tool for Modeling Relationships</p>
<p>Detecting and Prioritizing Problems</p>
<p>Problem–Solving Strategies</p>
<p>Group–Based Problem Solving</p>
<p>The Reward Structure: The Human Side of Problem Solving</p>
<p>Measurements and Their Importance for Quality</p>
<p>Analysis of Information: Graphical Displays and Numerical Summaries</p>
<p>Modeling Variability: An Introduction to Probability Distributions</p>
<p>Sample Surveys</p>
<p>Statistical Inference Under Simple Random Sampling</p>
<p>Acceptance Sampling Plans</p>
<p>Statistical Process Control: Control Charts</p>
<p>Process Capability and PRE–Control</p>
<p>Principles of Effective Experimental Design</p>
<p>Analysis of Data from Effective Experimental Designs and an Introduction to Factorial Experiments</p>
<p>Taguchi Design Methods for Product and Process Improvement</p>
<p>Regression Analysis: A Useful Tool for Modeling Relationships</p>
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