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Record Nr. |
UNINA9910809768303321 |
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Titolo |
Practitioner's guide for statistics and lean six sigma for process improvement / / Mikel J. Harry [and four others] |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : Wiley, , 2010 |
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©2010 |
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ISBN |
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Descrizione fisica |
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1 online resource (1870 p.) |
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Classificazione |
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Disciplina |
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Soggetti |
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Process control - Statistical methods |
Six sigma (Quality control standard) |
Statistics - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Cover; Title; copyright; Preface; 1: Principles of Six Sigma; 1.1 OVERVIEW; 1.2 SIX SIGMA ESSENTIALS; 1.3 QUALITY DEFINITION; 1.4 VALUE CREATION; 1.5 BUSINESS, OPERATIONS, PROCESS, AND INDIVIDUAL (BOPI) GOALS; 1.6 UNDERPINNING ECONOMICS; 1.7 PERFORMANCE METRICS; 1.8 PROCESS; 1.9 DESIGN COMPLEXITY; 1.10 NATURE AND PURPOSE OF SIX SIGMA; 1.11 NEEDS THAT UNDERLIE SIX SIGMA; 1.12 WHY FOCUSING ON THE CUSTOMER IS ESSENTIAL TO SIX SIGMA; 1.13 SUCCESS FACTORS; 1.14 SOFTWARE APPLICATIONS; GLOSSARY; REFERENCES; 2: Six Sigma Installation; 2.1 OVERVIEW; 2.2 SIX SIGMA LEADERSHIP-THE FUEL OF SIX SIGMA |
2.3 DEPLOYMENT PLANNING2.4 APPLICATION PROJECTS; 2.5 DEPLOYMENT TIMELINE; 2.6 DESIGN FOR SIX SIGMA (DFSS) PRINCIPLES; 2.7 PROCESSING FOR SIX SIGMA (PFSS) PRINCIPLES; 2.8 MANAGING FOR SIX SIGMA (MFSS) PRINCIPLES; 2.9 PROJECT REVIEW; 2.10 SUMMARY; GLOSSARY; REFERENCES AND NOTES; 3: Lean Sigma Projects; 3.1 OVERVIEW; 3.2 INTRODUCTION; 3.3 PROJECT DESCRIPTION; 3.4 PROJECT GUIDELINES; 3.5 PROJECT SELECTION; 3.6 PROJECT SCOPE; 3.7 PROJECT LEADERSHIP; 3.8 PROJECT TEAMS; 3.9 PROJECT FINANCIALS; 3.10 PROJECT MANAGEMENT; 3.11 PROJECT PAYBACK; 3.12 PROJECT MILESTONES; 3.13 PROJECT ROADMAP |
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3.14 PROJECT CHARTERS (GENERAL)3.15 SIX SIGMA PROJECTS; Summary; 3.16 PROJECT SUMMARY; GLOSSARY; REFERENCES; 4: Lean Practices; 4.1 OVERVIEW; 4.2 INTRODUCTION; 4.3 THE IDEA OF LEAN THINKING; 4.4 THEORY OF CONSTRAINTS (TOC); 4.5 LEAN CONCEPT; 4.6 VALUE-ADDED VERSUS NON-VALUE-ADDED ACTIVITIES; 4.7 WHY COMPANIES THINK LEAN; 4.8 VISUAL CONTROLS-VISUAL FACTORY; 4.9 THE IDEA OF PULL (KANBAN); 4.10 5S-6S APPROACH; 4.11 THE IDEA OF PERFECTION (KAIZEN); 4.12 REPLICATION-TRANSLATE; 4.13 POKA-YOKE SYSTEM-MISTAKEPROOFING; 4.14 SMED SYSTEM; 4.15 7W þ 1 APPROACH-SEVEN PLUS ONE DEADLY WASTE(S) |
4.16 6M APPROACH4.17 SUMMARY; GLOSSARY; REFERENCES AND NOTES; 5: Value Stream Mapping; 5.1 OVERVIEW; 5.2 INTRODUCTION; 5.3 VALUE STREAM MAPPING; 5.4 FOCUSED BRAINSTORMING; 5.5 GRAPHICAL REPRESENTATION OF A PROCESS IN A VALUE STREAM MAP; 5.6 EFFECTIVE WORKING TIME; 5.7 CUSTOMER DEMAND; 5.8 TAKT TIME; 5.9 PITCH TIME; 5.10 QUEUING TIME; 5.11 CYCLE TIME; 5.12 TOTAL CYCLE TIME; 5.13 CALCULATION OF TOTAL LEAD TIME(S); 5.14 VALUE-ADDED PERCENTAGE AND SIX SIGMA LEVEL; 5.15 DRAWING THE CURRENT-VALUE-STREAM MAP; 5.16 DRAWING THE VALUE STREAM MAP; 5.17 WHAT MAKES A VALUE STREAM LEAN |
5.18 THE FUTURE VALUE STREAM MAP5.19 SUMMARY; GLOSSARY; REFERENCES AND NOTES; 6: Introductory Statistics and Data; 6.1 OVERVIEW; 6.2 INTRODUCTION; 6.3 GENETIC CODE OF STATISTICS; 6.4 POPULATIONS AND SAMPLES; 6.5 THE IDEA OF DATA; 6.6 NATURE OF DATA; 6.7 DATA COLLECTION; 6.8 THE IMPORTANCE OF DATA COLLECTION; 6.9 SAMPLING IN SIX SIGMA; 6.10 SOURCES OF DATA; 6.11 DATABASE; 6.12 SUMMARY; GLOSSARY; REFERENCES; 7: Quality Tools; 7.1 OVERVIEW; 7.2 INTRODUCTION; 7.3 NATURE OF SIX SIGMA VARIABLES; 7.4 QUALITY FUNCTION DEPLOYMENT (QFD); 7.5 SCALES OF MEASUREMENT; 7.6 DIAGNOSTIC TOOLS |
7.7 ANALYTICAL METHODS |
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Sommario/riassunto |
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This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies. Emphasizing applications and the implementation of data analyses as |
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