{"product_id":"the-lean-six-sigma-pocket-toolbook-a-quick-reference-guide-to-nearly-100-tools-for-improving-quality-and-speed","title":"The Lean Six SIGMA Pocket Toolbook: A Quick Reference Guide to Nearly 100 Tools for Improving Quality and Speed","description":"\u003ctable align=\"center\" border=\"0\" cellpadding=\"2\" cellspacing=\"0\" width=\"100%\"\u003e\n\u003ctr\u003e\n\u003ctd class=\"productDetailSmallElements\"\u003e\n\u003cp\u003e\n\u003cstrong\u003eBiographical Note\u003c\/strong\u003e:\u003cbr\u003e\n\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMichael L. George \u003c\/b\u003e is the president of George Group and author of \u003ci\u003eLean Six Sigma \u003c\/i\u003eand \u003ci\u003eLean Six Sigma for Service\u003c\/i\u003e. \u003cb\u003eJohn Maxey \u003c\/b\u003eis a director at George Group. \u003cb\u003eDavid Rowlands \u003c\/b\u003eis the vice president of Lean Six Sigma for the North American Solutions Group, the sales, service, and marketing arm of Xerox. \u003cb\u003eMalcolm Upton \u003c\/b\u003eis a Lean Six Sigma Master Black Belt with George Group.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eJacket Description\/Back\u003c\/strong\u003e:\u003cbr\u003e\n\u003cp\u003eVital tools for implementing Lean Six Sigma--what they are, how they work, and which to use \u003c\/p\u003e\n\u003cp\u003e\"The Lean Six Sigma Pocket Toolbook \"is today's most complete and results-based reference to the tools and concepts needed to understand, implement, and leverage Lean Six Sigma. The only guide that groups tools by purpose and use, this hands-on reference provides: Analyses of nearly 100 tools and methodologies--from DMAIC and Pull Systems to Control Charts and Pareto Charts Detailed explanations of each tool to help you know how, when, and why to use it for maximum efficacy Sections for each tool explaining how to create it, how to interpret what you find, and expert tips \u003c\/p\u003e\n\u003cp\u003eLean Six Sigma is today's leading technique to maximize production efficiency and maintain control over each step in the managerial process. With \"The Lean Six Sigma Pocket Toolbook,\" you'll discover how to propel your organization to new levels of competitive success--one tool at a time.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eMarc Notes\u003c\/strong\u003e:\u003cbr\u003e\n\t\t\t\t\t\t\t\tIncludes index.;Title from title screen.;The Lean Six Sigma Pocket Toolbook blends Lean and Six Sigma tools and concepts, providing expert advice on how to determine which tool within a family is best for different purposes. Packed with detailed examples and step-bystep instructions, it's the ideal handy reference guide to help Green and Black Belts make the transition from the classroom to the field. Features brief summaries and examples of the 70 most important tools in Lean Six Sigma, such as Pull, Heijunka, and Control Charts Groups tools by purpose and usage Offers a quick, easy reference on using the DMAIC improvement cycle Provides comprehensive coverage in a compact, portable format.;EBSCO complete collection.\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eTable of Contents\u003c\/strong\u003e:\u003cbr\u003e\n\t\t\t\t\t\t\t\tChapter 1: Using DMAIC to Improve Speed, Quality, and Cost \n\u003cbr\u003e Define \n\u003cbr\u003e Measure \n\u003cbr\u003e Analyze \n\u003cbr\u003e Improve \n\u003cbr\u003e Control \n\u003cbr\u003e Kaizen DMAIC \n\u003cbr\u003e Project selection \n\u003cbr\u003e Chapter 2: Working With Ideas \n\u003cbr\u003e Brainstorming \n\u003cbr\u003e Affinity diagrams \n\u003cbr\u003e Multivoting \n\u003cbr\u003e Chapter 3: Value Stream Mapping and Process Flow Tools \n\u003cbr\u003e Process mapping \n\u003cbr\u003e Process observation \n\u003cbr\u003e SIPOC \n\u003cbr\u003e Process mapping steps \n\u003cbr\u003e Transportation and spaghetti (workflow) diagrams \n\u003cbr\u003e Swim-lane (deployment) flowcharts \n\u003cbr\u003e Value stream maps (basic) \n\u003cbr\u003e Flowchart and value stream symbols \n\u003cbr\u003e Value-add (VA) vs. non-value-add (NVA) analysis \n\u003cbr\u003e Time value maps \n\u003cbr\u003e Value-add chart (task time or takt time chart) \n\u003cbr\u003e Chapter 4: Voice of the Customer (VOC) \n\u003cbr\u003e Customer segmentation \n\u003cbr\u003e Sources of customer data \n\u003cbr\u003e Collecting VOC: Interviews \n\u003cbr\u003e Collecting VOC: Point-of-use observation \n\u003cbr\u003e Collecting VOC: Focus groups \n\u003cbr\u003e Collecting VOC: Surveys \n\u003cbr\u003e Kano analysis \n\u003cbr\u003e Developing critical-to-quality requirements \n\u003cbr\u003e Chapter 5: Data Collection \n\u003cbr\u003e Types of data \n\u003cbr\u003e Input vs. output data \n\u003cbr\u003e Data collection planning \n\u003cbr\u003e Measurement selection matrix \n\u003cbr\u003e Stratification factors \n\u003cbr\u003e Operational definitions \n\u003cbr\u003e Cautions on using existing data \n\u003cbr\u003e Making a checksheet \n\u003cbr\u003e Basic checksheets \n\u003cbr\u003e Frequency plot checksheet \n\u003cbr\u003e Traveler checksheet \n\u003cbr\u003e Location checksheet \n\u003cbr\u003e Sampling basics \n\u003cbr\u003e Factors in sample selection \n\u003cbr\u003e Stable process (and population) sampling \n\u003cbr\u003e Formulas for determining minimum sample size (population or stable process) \n\u003cbr\u003e Measurement System Analysis (MSA) and Gage R\u0026amp;R Overview \n\u003cbr\u003e Gage R\u0026amp;R: Collecting the data \n\u003cbr\u003e Interpreting Gage R\u0026amp;R Results \n\u003cbr\u003e MSA: Evaluating bias \n\u003cbr\u003e MSA: Evaluating stability \n\u003cbr\u003e MSA: Evaluating discrimination \n\u003cbr\u003e MSA for attribute\/discrete data \n\u003cbr\u003e Chapter 6: Descriptive Statistics and Data Displays \n\u003cbr\u003e Statistical term conventions \n\u003cbr\u003e Measures of central tendency (mean, median, mode) \n\u003cbr\u003e Measures of spread (range, variance, standard deviation) \n\u003cbr\u003e Boxplots \n\u003cbr\u003e Frequency plot (histogram \n\u003cbr\u003e Normal distribution \n\u003cbr\u003e Non-normal distributions and the Central Limit Theorem \n\u003cbr\u003e Chapter 7: Variation Analysis \n\u003cbr\u003e Review of variation concepts \n\u003cbr\u003e Time series plots (Run charts) \n\u003cbr\u003e Run chart table \n\u003cbr\u003e Control chart basics \n\u003cbr\u003e Selecting a control chart \n\u003cbr\u003e Control charts for continuous data \n\u003cbr\u003e Subgrouping for continuous data \n\u003cbr\u003e Control limit formulas for continuous data \n\u003cbr\u003e Factors for Control Chart Formulas \n\u003cbr\u003e Creating an ImR Chart \n\u003cbr\u003e Creating X, R charts or X, S charts \n\u003cbr\u003e Control charts for attribute data \n\u003cbr\u003e Creating p-, np-, c-, and u-charts \n\u003cbr\u003e Control limit formulas for attribute data \n\u003cbr\u003e Assumptions for interpreting control charts \n\u003cbr\u003e Interpreting control charts (Tests for Special Cause Variation) \n\u003cbr\u003e Background on process capability calculations \n\u003cbr\u003e Confusion in short-term vs. long-term process capability calculations \n\u003cbr\u003e Calculating process capability \n\u003cbr\u003e Chapter 8: Identifying and Verifying Causes \n\u003cbr\u003e PART A: Identifying potential causes \n\u003cbr\u003e Pareto charts \n\u003cbr\u003e 5 Whys \n\u003cbr\u003e Cause-and-effect diagrams (fishbone or Ishikawa diagrams) \n\u003cbr\u003e C\u0026amp;E Matrix \n\u003cbr\u003e PART B: Tools for confirming causal effects \n\u003cbr\u003e Stratified data charts \n\u003cbr\u003e Testing quick fixes or obvious solutions \n\u003cbr\u003e Scatter plots \n\u003cbr\u003e Hypothesis testing overview \n\u003cbr\u003e Confidence intervals \n\u003cbr\u003e Type I and Type II errors, Confidence, Power, and p-values \n\u003cbr\u003e Confidence intervals and sample size \n\u003cbr\u003e t-test Overview \n\u003cbr\u003e 1-Sample t-test \n\u003cbr\u003e 2-Sample t-test \n\u003cbr\u003e Overview of correlation \n\u003cbr\u003e Correlation statistics (coefficients) \n\u003cbr\u003e Regression overview \n\u003cbr\u003e Simple linear regression \n\u003cbr\u003e Multiple regression \n\u003cbr\u003e ANOVA (ANalysis Of VAriance) \n\u003cbr\u003e One-way ANOVA \n\u003cbr\u003e Degrees of Freedom \n\u003cbr\u003e ANOVA assumptions \n\u003cbr\u003e Two-way ANOVA \n\u003cbr\u003e Chi-Square test \n\u003cbr\u003e Design of Experiments (DOE) notation and terms \n\u003cbr\u003e Planning a designed experiment \n\u003cbr\u003e DOE: Full-factorial vs. \n\u003cbr\u003e Fractional-factorials (and notations) \n\u003cbr\u003e Interpreting DOE results \n\u003cbr\u003e Chapter 9: Reducing Lead Time and Non-Value-Add Cost \n\u003cbr\u003e Basic Lean concepts \n\u003cbr\u003e Metrics of time efficiency \n\u003cbr\u003e Time Traps vs. Capacity Constraints \n\u003cbr\u003e Identifying Time Traps and Capacity Constraints \n\u003cbr\u003e 5S Overview \n\u003cbr\u003e Implementing 5S \n\u003cbr\u003e Generic Pull System \n\u003cbr\u003e Replenishment Pull Systems \n\u003cbr\u003e Two-Bin Replenishment System \n\u003cbr\u003e Computing minimum safe batch sizes \n\u003cbr\u003e Four Step Rapid Setup Method \n\u003cbr\u003e Adapting Four Step Rapid Setup for service processes \n\u003cbr\u003e Total Productive Maintenance (TPM) \n\u003cbr\u003e Mistake proofing \u0026amp; prevention (Poka-yoke) \n\u003cbr\u003e Process balancing design principles \n\u003cbr\u003e Work cell optimization \n\u003cbr\u003e Visual Process Controls \n\u003cbr\u003e Chapter 10: Complexity Value Stream Mapping and Complexity Analysis \n\u003cbr\u003e Product\/service family grid \n\u003cbr\u003e Complexity Value Stream Map (CVSM) \n\u003cbr\u003e Process Cycle Efficiency (PCE) \n\u003cbr\u003e The Complexity Equation \n\u003cbr\u003e Complexity matrix \n\u003cbr\u003e PCE destruction calculations (for a Complexity Matrix) \n\u003cbr\u003e Substructure analysis \n\u003cbr\u003e \"What-if\" analyses with Complexity Matrix data \n\u003cbr\u003e Chapter 11: Selecting and Testing Solutions \n\u003cbr\u003e Sources of solution ideas \n\u003cbr\u003e Benchmarking \n\u003cbr\u003e Tips on solution selection \n\u003cbr\u003e Developing and using evaluation criteria \n\u003cbr\u003e Solution selection matrix \n\u003cbr\u003e Pairwise ranking \n\u003cbr\u003e Cost evaluation \n\u003cbr\u003e Impact\/effort matrix \n\u003cbr\u003e Pugh matrix \n\u003cbr\u003e Other evaluation techniques \n\u003cbr\u003e Controls assessment matrix \n\u003cbr\u003e Failure Modes and Effects Analysis (FMEA) \n\u003cbr\u003e Pilot testing \n\u003cbr\u003e Index\u003cbr\u003e\u003cbr\u003e\n\n\u003cbr\u003e\n\u003cp\u003e\n\u003cstrong\u003eContributor Bio:\u003c\/strong\u003eGeorge, Michael L\u003cbr\u003e\n\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMichael L. George \u003c\/b\u003e is the president of George Group and author of \u003ci\u003eLean Six Sigma \u003c\/i\u003eand \u003ci\u003eLean Six Sigma for Service\u003c\/i\u003e. \u003cb\u003eJohn Maxey \u003c\/b\u003eis a director at George Group. \u003cb\u003eDavid Rowlands \u003c\/b\u003eis the vice president of Lean Six Sigma for the North American Solutions Group, the sales, service, and marketing arm of Xerox. \u003cb\u003eMalcolm Upton \u003c\/b\u003eis a Lean Six Sigma Master Black Belt with George Group.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eContributor Bio:\u003c\/strong\u003eMaxey, John\u003cbr\u003e\n\t\t\t\t\t\t\t\tMcGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eContributor Bio:\u003c\/strong\u003eRowlands, David T\u003cbr\u003e\n\t\t\t\t\t\t\t\tMcGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide\u003cbr\u003e\u003cbr\u003e\n\u003cstrong\u003eContributor Bio:\u003c\/strong\u003ePrice, Mark\u003cbr\u003e\n\t\t\t\t\t\t\t\tRichard Leifer, Christopher M. McDermott, Gina Colarelli O'Connor, Lois S. Peters, Mark Rice and Robert W. Veryzer are all faculty members in the Lally School of Management and Technology, Rensselaer Polytechnic Institute.\u003cbr\u003e\u003cbr\u003e\n\n\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003cp\u003e\u003cb\u003eAuthor:\u003c\/b\u003e George, Michael L\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e McGraw-Hill Companies\u003cbr\u003e\u003cb\u003eBinding:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePub Date:\u003c\/b\u003e 2004-09-01\u003cbr\u003e\u003cb\u003eBISAC:\u003c\/b\u003e Business \u0026amp; Economics|Management|General|Business \u0026amp; Economics|Training|Business \u0026amp; Economics|Industries|Manufacturing|Business \u0026amp; Economics|Decision Making \u0026amp; Problem Solving\u003cbr\u003e\u003cb\u003eSubjects:\u003c\/b\u003e Quality control|Production management|Six sigma (Quality control standard)\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.55 lbs\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780071441193\u003cbr\u003e\u003cb\u003eASIN:\u003c\/b\u003e -\u003cbr\u003e\u003cb\u003eSKU:\u003c\/b\u003e SP-9780071441193\u003c\/p\u003e","brand":"McGraw-Hill Companies","offers":[{"title":"Default Title","offer_id":51154254463254,"sku":"SP-9780071441193","price":32.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0857\/9910\/8886\/files\/9780071441193_spiral.png?v=1774939555","url":"https:\/\/lusper.myshopify.com\/products\/the-lean-six-sigma-pocket-toolbook-a-quick-reference-guide-to-nearly-100-tools-for-improving-quality-and-speed","provider":"Lusperbooks","version":"1.0","type":"link"}