Lean Six Sigma and statistical tools for engineers and engineering managers /:
This book is intended to be a textbook for advanced undergraduate students, graduate students in engineering, and mid-career engineering professionals. It can also be a reference book, or be used to prepare for the Six Sigma Green Belt and Black Belt certifications by organizations such as American...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York [New York] (222 East 46th Street, New York, NY 10017) :
Momentum Press,
2016.
|
| Ausgabe: | First edition. |
| Schriftenreihe: | Engineering management collection.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | This book is intended to be a textbook for advanced undergraduate students, graduate students in engineering, and mid-career engineering professionals. It can also be a reference book, or be used to prepare for the Six Sigma Green Belt and Black Belt certifications by organizations such as American Society for Quality. The book focuses on the introduction of the basic concepts, processes, and tools used in Lean Six Sigma. A unique feature of this book is the detailed discussion on Design for Six Sigma aided by computer modeling and simulation. The authors present several sample projects in which Lean Six Sigma and Design for Six Sigma were used to solve engineering problems or improve processes based on their own research and development experiences in engineering design and analysis. |
| Beschreibung: | Appendices -- Index. Title from PDF title page (viewed on December 10, 2015). |
| Beschreibung: | 1 online resource (1 PDF (xii, 255 pages)) : illustrations. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781606504932 1606504932 |
| ISSN: | 2376-4902 |
Internformat
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| 100 | 1 | |a Zhan, Wei, |e author. | |
| 245 | 1 | 0 | |a Lean Six Sigma and statistical tools for engineers and engineering managers / |c Wei Zhan, Xuru Ding. |
| 250 | |a First edition. | ||
| 264 | 1 | |a New York [New York] (222 East 46th Street, New York, NY 10017) : |b Momentum Press, |c 2016. | |
| 300 | |a 1 online resource (1 PDF (xii, 255 pages)) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Engineering management collection, |x 2376-4902 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 1. Introduction -- 1.1 History of Lean Six Sigma -- 1.2 Optimal quality cost -- 1.3 Benefits of Lean Six Sigma. | |
| 505 | 8 | |a 2. Probability and statistics -- 2.1 Why is statistics relevant to engineers? -- 2.2 Probability, sampling, and random variables -- 2.3 Set theory -- 2.4 Calculus of probabilities -- 2.5 System probability as a function of subsystem probabilities -- 2.6 Law of total probability and Bayes' theorem -- 2.7 Probability distributions and cumulative distribution functions -- 2.8 Expected value and variance -- 2.9 Probability distributions -- 2.10 The central limit theorem -- 2.11 Statistical data analysis -- 2.12 Graphical methods. | |
| 505 | 8 | |a 3. DMAIC: the process of Lean Six Sigma -- 3.1 Introduction -- 3.2 Six Sigma as a statistical measure -- 3.3 The DMAIC process. | |
| 505 | 8 | |a 4. Lean Six Sigma tools -- 4.1 SWOT, affinity diagram, SIPOC, VOC, CTQ -- 4.2 Cp, Cpk, GR & R, Pareto diagram, prioritization matrix, normality check, Monte Carlo analysis -- 4.3 Confidence intervals, hypothesis testing, cause-and-effect analysis, FMEA, DOE, VSM -- 4.4 RSM, regression -- 4.5 Statistical process control. | |
| 505 | 8 | |a 5. Excel, MATLAB, Minitab, and other simulation tools -- 5.1 Excel -- 5.2 MATLAB -- 5.3 Minitab -- 5.4 R and other software tools. | |
| 505 | 8 | |a 6. Lean Six Sigma projects: strategic planning and project execution -- 6.1 Strategic planning and deployment -- 6.2 Project selection -- 6.3 Lean Six Sigma team -- 6.4 Project scope and project management -- 6.5 Milestones, deliverables, and project summary. | |
| 505 | 8 | |a 7. Design for Six Sigma -- 7.1 Overview: quality at low costs -- 7.2 Process of DFSS -- 7.3 Implementing DFSS -- 7.4 Conclusions. | |
| 505 | 8 | |a 8. Case studies -- 8.1 Lean Six Sigma project, pulse width modulation control for motor speed -- 8.2 DFSS project, vehicle-occupant safety robust design for frontal impact -- 8.3 DFSS project, reliability improvement of car window regulator operation. | |
| 500 | |a Appendices -- Index. | ||
| 520 | 3 | |a This book is intended to be a textbook for advanced undergraduate students, graduate students in engineering, and mid-career engineering professionals. It can also be a reference book, or be used to prepare for the Six Sigma Green Belt and Black Belt certifications by organizations such as American Society for Quality. The book focuses on the introduction of the basic concepts, processes, and tools used in Lean Six Sigma. A unique feature of this book is the detailed discussion on Design for Six Sigma aided by computer modeling and simulation. The authors present several sample projects in which Lean Six Sigma and Design for Six Sigma were used to solve engineering problems or improve processes based on their own research and development experiences in engineering design and analysis. | |
| 500 | |a Title from PDF title page (viewed on December 10, 2015). | ||
| 650 | 0 | |a Six sigma (Quality control standard) |0 http://id.loc.gov/authorities/subjects/sh2002000565 | |
| 650 | 0 | |a Lean manufacturing. |0 http://id.loc.gov/authorities/subjects/sh2008007591 | |
| 650 | 0 | |a Production management |x Quality control. | |
| 650 | 6 | |a Six Sigma. | |
| 650 | 6 | |a Production allégée. | |
| 650 | 6 | |a Production |x Gestion |x Qualité |x Contrôle. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Industrial Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management Science. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Organizational Behavior. |2 bisacsh | |
| 650 | 7 | |a Lean manufacturing |2 fast | |
| 650 | 7 | |a Production management |x Quality control |2 fast | |
| 650 | 7 | |a Six sigma (Quality control standard) |2 fast | |
| 653 | |a Lean | ||
| 653 | |a Six Sigma | ||
| 653 | |a Design for Six Sigma | ||
| 653 | |a statistics | ||
| 653 | |a probability | ||
| 653 | |a DMAIC | ||
| 653 | |a engineering | ||
| 653 | |a management | ||
| 653 | |a optimization | ||
| 653 | |a process improvement | ||
| 653 | |a quality control | ||
| 653 | |a design of experiment | ||
| 653 | |a response surface method | ||
| 653 | |a Monte Carlo analysis | ||
| 653 | |a hypothesis test | ||
| 653 | |a robust design | ||
| 653 | |a computer-aided design | ||
| 653 | |a data analysis | ||
| 700 | 1 | |a Ding, Xuru, |e author. | |
| 758 | |i has work: |a Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers (Text) |1 https://id.oclc.org/worldcat/entity/E39PCYHM3CDhGTg9PcW89qtP6X |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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Datensatz im Suchindex
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| _version_ | 1826942107044020224 |
| adam_text | |
| any_adam_object | |
| author | Zhan, Wei Ding, Xuru |
| author_facet | Zhan, Wei Ding, Xuru |
| author_role | aut aut |
| author_sort | Zhan, Wei |
| author_variant | w z wz x d xd |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TS156 |
| callnumber-raw | TS156 .Z425 2016 |
| callnumber-search | TS156 .Z425 2016 |
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| contents | 1. Introduction -- 1.1 History of Lean Six Sigma -- 1.2 Optimal quality cost -- 1.3 Benefits of Lean Six Sigma. 2. Probability and statistics -- 2.1 Why is statistics relevant to engineers? -- 2.2 Probability, sampling, and random variables -- 2.3 Set theory -- 2.4 Calculus of probabilities -- 2.5 System probability as a function of subsystem probabilities -- 2.6 Law of total probability and Bayes' theorem -- 2.7 Probability distributions and cumulative distribution functions -- 2.8 Expected value and variance -- 2.9 Probability distributions -- 2.10 The central limit theorem -- 2.11 Statistical data analysis -- 2.12 Graphical methods. 3. DMAIC: the process of Lean Six Sigma -- 3.1 Introduction -- 3.2 Six Sigma as a statistical measure -- 3.3 The DMAIC process. 4. Lean Six Sigma tools -- 4.1 SWOT, affinity diagram, SIPOC, VOC, CTQ -- 4.2 Cp, Cpk, GR & R, Pareto diagram, prioritization matrix, normality check, Monte Carlo analysis -- 4.3 Confidence intervals, hypothesis testing, cause-and-effect analysis, FMEA, DOE, VSM -- 4.4 RSM, regression -- 4.5 Statistical process control. 5. Excel, MATLAB, Minitab, and other simulation tools -- 5.1 Excel -- 5.2 MATLAB -- 5.3 Minitab -- 5.4 R and other software tools. 6. Lean Six Sigma projects: strategic planning and project execution -- 6.1 Strategic planning and deployment -- 6.2 Project selection -- 6.3 Lean Six Sigma team -- 6.4 Project scope and project management -- 6.5 Milestones, deliverables, and project summary. 7. Design for Six Sigma -- 7.1 Overview: quality at low costs -- 7.2 Process of DFSS -- 7.3 Implementing DFSS -- 7.4 Conclusions. 8. Case studies -- 8.1 Lean Six Sigma project, pulse width modulation control for motor speed -- 8.2 DFSS project, vehicle-occupant safety robust design for frontal impact -- 8.3 DFSS project, reliability improvement of car window regulator operation. |
| ctrlnum | (OCoLC)939718464 |
| dewey-full | 658.4013 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4013 |
| dewey-search | 658.4013 |
| dewey-sort | 3658.4013 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | First edition. |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn939718464 |
| illustrated | Illustrated |
| indexdate | 2025-03-18T14:22:45Z |
| institution | BVB |
| isbn | 9781606504932 1606504932 |
| issn | 2376-4902 |
| language | English |
| oclc_num | 939718464 |
| open_access_boolean | |
| owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource (1 PDF (xii, 255 pages)) : illustrations. |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Momentum Press, |
| record_format | marc |
| series | Engineering management collection. |
| series2 | Engineering management collection, |
| spelling | Zhan, Wei, author. Lean Six Sigma and statistical tools for engineers and engineering managers / Wei Zhan, Xuru Ding. First edition. New York [New York] (222 East 46th Street, New York, NY 10017) : Momentum Press, 2016. 1 online resource (1 PDF (xii, 255 pages)) : illustrations. text txt rdacontent electronic isbdmedia online resource cr rdacarrier Engineering management collection, 2376-4902 Includes bibliographical references and index. 1. Introduction -- 1.1 History of Lean Six Sigma -- 1.2 Optimal quality cost -- 1.3 Benefits of Lean Six Sigma. 2. Probability and statistics -- 2.1 Why is statistics relevant to engineers? -- 2.2 Probability, sampling, and random variables -- 2.3 Set theory -- 2.4 Calculus of probabilities -- 2.5 System probability as a function of subsystem probabilities -- 2.6 Law of total probability and Bayes' theorem -- 2.7 Probability distributions and cumulative distribution functions -- 2.8 Expected value and variance -- 2.9 Probability distributions -- 2.10 The central limit theorem -- 2.11 Statistical data analysis -- 2.12 Graphical methods. 3. DMAIC: the process of Lean Six Sigma -- 3.1 Introduction -- 3.2 Six Sigma as a statistical measure -- 3.3 The DMAIC process. 4. Lean Six Sigma tools -- 4.1 SWOT, affinity diagram, SIPOC, VOC, CTQ -- 4.2 Cp, Cpk, GR & R, Pareto diagram, prioritization matrix, normality check, Monte Carlo analysis -- 4.3 Confidence intervals, hypothesis testing, cause-and-effect analysis, FMEA, DOE, VSM -- 4.4 RSM, regression -- 4.5 Statistical process control. 5. Excel, MATLAB, Minitab, and other simulation tools -- 5.1 Excel -- 5.2 MATLAB -- 5.3 Minitab -- 5.4 R and other software tools. 6. Lean Six Sigma projects: strategic planning and project execution -- 6.1 Strategic planning and deployment -- 6.2 Project selection -- 6.3 Lean Six Sigma team -- 6.4 Project scope and project management -- 6.5 Milestones, deliverables, and project summary. 7. Design for Six Sigma -- 7.1 Overview: quality at low costs -- 7.2 Process of DFSS -- 7.3 Implementing DFSS -- 7.4 Conclusions. 8. Case studies -- 8.1 Lean Six Sigma project, pulse width modulation control for motor speed -- 8.2 DFSS project, vehicle-occupant safety robust design for frontal impact -- 8.3 DFSS project, reliability improvement of car window regulator operation. Appendices -- Index. This book is intended to be a textbook for advanced undergraduate students, graduate students in engineering, and mid-career engineering professionals. It can also be a reference book, or be used to prepare for the Six Sigma Green Belt and Black Belt certifications by organizations such as American Society for Quality. The book focuses on the introduction of the basic concepts, processes, and tools used in Lean Six Sigma. A unique feature of this book is the detailed discussion on Design for Six Sigma aided by computer modeling and simulation. The authors present several sample projects in which Lean Six Sigma and Design for Six Sigma were used to solve engineering problems or improve processes based on their own research and development experiences in engineering design and analysis. Title from PDF title page (viewed on December 10, 2015). Six sigma (Quality control standard) http://id.loc.gov/authorities/subjects/sh2002000565 Lean manufacturing. http://id.loc.gov/authorities/subjects/sh2008007591 Production management Quality control. Six Sigma. Production allégée. Production Gestion Qualité Contrôle. BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Lean manufacturing fast Production management Quality control fast Six sigma (Quality control standard) fast Lean Six Sigma Design for Six Sigma statistics probability DMAIC engineering management optimization process improvement quality control design of experiment response surface method Monte Carlo analysis hypothesis test robust design computer-aided design data analysis Ding, Xuru, author. has work: Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers (Text) https://id.oclc.org/worldcat/entity/E39PCYHM3CDhGTg9PcW89qtP6X https://id.oclc.org/worldcat/ontology/hasWork Print version: 9781606504925 Engineering management collection. 2376-4902 |
| spellingShingle | Zhan, Wei Ding, Xuru Lean Six Sigma and statistical tools for engineers and engineering managers / Engineering management collection. 1. Introduction -- 1.1 History of Lean Six Sigma -- 1.2 Optimal quality cost -- 1.3 Benefits of Lean Six Sigma. 2. Probability and statistics -- 2.1 Why is statistics relevant to engineers? -- 2.2 Probability, sampling, and random variables -- 2.3 Set theory -- 2.4 Calculus of probabilities -- 2.5 System probability as a function of subsystem probabilities -- 2.6 Law of total probability and Bayes' theorem -- 2.7 Probability distributions and cumulative distribution functions -- 2.8 Expected value and variance -- 2.9 Probability distributions -- 2.10 The central limit theorem -- 2.11 Statistical data analysis -- 2.12 Graphical methods. 3. DMAIC: the process of Lean Six Sigma -- 3.1 Introduction -- 3.2 Six Sigma as a statistical measure -- 3.3 The DMAIC process. 4. Lean Six Sigma tools -- 4.1 SWOT, affinity diagram, SIPOC, VOC, CTQ -- 4.2 Cp, Cpk, GR & R, Pareto diagram, prioritization matrix, normality check, Monte Carlo analysis -- 4.3 Confidence intervals, hypothesis testing, cause-and-effect analysis, FMEA, DOE, VSM -- 4.4 RSM, regression -- 4.5 Statistical process control. 5. Excel, MATLAB, Minitab, and other simulation tools -- 5.1 Excel -- 5.2 MATLAB -- 5.3 Minitab -- 5.4 R and other software tools. 6. Lean Six Sigma projects: strategic planning and project execution -- 6.1 Strategic planning and deployment -- 6.2 Project selection -- 6.3 Lean Six Sigma team -- 6.4 Project scope and project management -- 6.5 Milestones, deliverables, and project summary. 7. Design for Six Sigma -- 7.1 Overview: quality at low costs -- 7.2 Process of DFSS -- 7.3 Implementing DFSS -- 7.4 Conclusions. 8. Case studies -- 8.1 Lean Six Sigma project, pulse width modulation control for motor speed -- 8.2 DFSS project, vehicle-occupant safety robust design for frontal impact -- 8.3 DFSS project, reliability improvement of car window regulator operation. Six sigma (Quality control standard) http://id.loc.gov/authorities/subjects/sh2002000565 Lean manufacturing. http://id.loc.gov/authorities/subjects/sh2008007591 Production management Quality control. Six Sigma. Production allégée. Production Gestion Qualité Contrôle. BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Lean manufacturing fast Production management Quality control fast Six sigma (Quality control standard) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2002000565 http://id.loc.gov/authorities/subjects/sh2008007591 |
| title | Lean Six Sigma and statistical tools for engineers and engineering managers / |
| title_auth | Lean Six Sigma and statistical tools for engineers and engineering managers / |
| title_exact_search | Lean Six Sigma and statistical tools for engineers and engineering managers / |
| title_full | Lean Six Sigma and statistical tools for engineers and engineering managers / Wei Zhan, Xuru Ding. |
| title_fullStr | Lean Six Sigma and statistical tools for engineers and engineering managers / Wei Zhan, Xuru Ding. |
| title_full_unstemmed | Lean Six Sigma and statistical tools for engineers and engineering managers / Wei Zhan, Xuru Ding. |
| title_short | Lean Six Sigma and statistical tools for engineers and engineering managers / |
| title_sort | lean six sigma and statistical tools for engineers and engineering managers |
| topic | Six sigma (Quality control standard) http://id.loc.gov/authorities/subjects/sh2002000565 Lean manufacturing. http://id.loc.gov/authorities/subjects/sh2008007591 Production management Quality control. Six Sigma. Production allégée. Production Gestion Qualité Contrôle. BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Lean manufacturing fast Production management Quality control fast Six sigma (Quality control standard) fast |
| topic_facet | Six sigma (Quality control standard) Lean manufacturing. Production management Quality control. Six Sigma. Production allégée. Production Gestion Qualité Contrôle. BUSINESS & ECONOMICS Industrial Management. BUSINESS & ECONOMICS Management. BUSINESS & ECONOMICS Management Science. BUSINESS & ECONOMICS Organizational Behavior. Lean manufacturing Production management Quality control |
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