The Resource Introduction to Engineering Statistics and Lean Sigma : Statistical Quality Control and Design of Experiments and Systems, by Theodore T. Allen, (electronic resource)

Introduction to Engineering Statistics and Lean Sigma : Statistical Quality Control and Design of Experiments and Systems, by Theodore T. Allen, (electronic resource)

Label
Introduction to Engineering Statistics and Lean Sigma : Statistical Quality Control and Design of Experiments and Systems
Title
Introduction to Engineering Statistics and Lean Sigma
Title remainder
Statistical Quality Control and Design of Experiments and Systems
Statement of responsibility
by Theodore T. Allen
Creator
Author
Author
Subject
Language
  • eng
  • eng
Summary
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 of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners
http://library.link/vocab/creatorName
Allen, Theodore T
Dewey number
620.0072
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
3O10kS0OmEY
Language note
English
LC call number
TA1-2040
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Engineering
  • Distribution (Probability theory
  • Operations research
  • Engineering economy
  • Statistics
  • Engineering, general
  • Probability Theory and Stochastic Processes
  • Operations Research/Decision Theory
  • Engineering Economics, Organization, Logistics, Marketing
  • Statistics for Business, Management, Economics, Finance, Insurance
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Label
Introduction to Engineering Statistics and Lean Sigma : Statistical Quality Control and Design of Experiments and Systems, by Theodore T. Allen, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Statistical Quality Control -- Statistical Quality Control and Six Sigma -- Define Phase and Strategy -- Measure Phase and Statistical Charting -- Analyze Phase -- Improve or Design Phase -- Control or Verify Phase -- Advanced SQC Methods -- SQC Case Studies -- SQC Theory -- Design of Experiments (DOE) and Regression -- DOE: The Jewel of Quality Engineering -- DOE: Screening Using Fractional Factorials -- DOE: Response Surface Methods -- DOE: Robust Design -- Regression -- Advanced Regression and Alternatives -- DOE and Regression Case Studies -- DOE and Regression Theory -- Optimization and Strategy -- Optimization and Strategy -- Tolerance Design -- Design for Six Sigma -- Lean Sigma Project Design
Dimensions
unknown
Edition
2nd ed.
Extent
1 online resource (572 p.)
Form of item
online
Isbn
9781849960007
Media category
computer
Media type code
c
Other control number
10.1007/978-1-84996-000-7
Specific material designation
remote
System control number
  • (CKB)2550000000011226
  • (EBL)3065229
  • (SSID)ssj0000449731
  • (PQKBManifestationID)11295855
  • (PQKBTitleCode)TC0000449731
  • (PQKBWorkID)10434467
  • (PQKB)10863447
  • (DE-He213)978-1-84996-000-7
  • (EXLCZ)992550000000011226
Label
Introduction to Engineering Statistics and Lean Sigma : Statistical Quality Control and Design of Experiments and Systems, by Theodore T. Allen, (electronic resource)
Publication
Note
Description based upon print version of record
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Statistical Quality Control -- Statistical Quality Control and Six Sigma -- Define Phase and Strategy -- Measure Phase and Statistical Charting -- Analyze Phase -- Improve or Design Phase -- Control or Verify Phase -- Advanced SQC Methods -- SQC Case Studies -- SQC Theory -- Design of Experiments (DOE) and Regression -- DOE: The Jewel of Quality Engineering -- DOE: Screening Using Fractional Factorials -- DOE: Response Surface Methods -- DOE: Robust Design -- Regression -- Advanced Regression and Alternatives -- DOE and Regression Case Studies -- DOE and Regression Theory -- Optimization and Strategy -- Optimization and Strategy -- Tolerance Design -- Design for Six Sigma -- Lean Sigma Project Design
Dimensions
unknown
Edition
2nd ed.
Extent
1 online resource (572 p.)
Form of item
online
Isbn
9781849960007
Media category
computer
Media type code
c
Other control number
10.1007/978-1-84996-000-7
Specific material designation
remote
System control number
  • (CKB)2550000000011226
  • (EBL)3065229
  • (SSID)ssj0000449731
  • (PQKBManifestationID)11295855
  • (PQKBTitleCode)TC0000449731
  • (PQKBWorkID)10434467
  • (PQKB)10863447
  • (DE-He213)978-1-84996-000-7
  • (EXLCZ)992550000000011226

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