Introduction to Engineering Statistics and Lean Sigma Statistical Quality Control and Design of Experiments and Systems /

• Main Author: Allen, Theodore T. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London, 2010.
• Edition: Second Edition.
• Subjects: Engineering.; Economics > Statistics.; Engineering economy.; Business planning.; Engineering Economics, Organization, Logistics, Marketing.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Operations Research/Decision Theory.; Organization/Planning.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84996-000-7

Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success...

Table of Contents:

• Statistical Quality Control and Six Sigma
• Define Phase and Strategy
• Measure Phase and Statistical Charting
• Analysze Phase
• Improve or Design Phase
• Control or Verify Phase
• Advanced SQC Methods
• SQC Case Studies
• SQC Theory
• DOE: The Jewel of Qualtiy Engineering
• DOE: Screening Using Fractional Factorials
• DOE: Response Surface Methods
• DOE: Robust Design
• Regression
• Advanced Regression and Alternatives
• DOEs and Regression Case Studies
• DOE and Regression Theory
• Optimization and Strategy
• Tolerance Design
• Design for Six Sigma
• Lean Sigma Project Design.