05361nam 2200613 450 991078906630332120230725052645.01-118-21021-2(CKB)3400000000021172(EBL)819129(OCoLC)778339071(SSID)ssj0000614506(PQKBManifestationID)12204959(PQKBTitleCode)TC0000614506(PQKBWorkID)10604401(PQKB)11533669(MiAaPQ)EBC819129(EXLCZ)99340000000002117220160408h20102010 uy 0engur|n|---|||||txtccrPractitioner's guide for statistics and lean six sigma for process improvement /Mikel J. Harry [and four others]Hoboken, New Jersey :Wiley,2010.©20101 online resource (1870 p.)Description based upon print version of record.0-470-11494-0 Includes bibliographical references at the end of each chapters and index.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 SIGMA2.3 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 ROADMAP3.14 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 LEAN5.18 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 TOOLS7.7 ANALYTICAL METHODSThis 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 Process controlStatistical methodsSix sigma (Quality control standard)StatisticsData processingProcess controlStatistical methods.Six sigma (Quality control standard)StatisticsData processing.658.4013QP 321rvkHarry Mikel J.MiAaPQMiAaPQMiAaPQBOOK9910789066303321Practitioner's guide for statistics and lean six sigma for process improvement3822299UNINA