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The Six Sigma concept has enjoyed triumphant success throughout the business world over the last 20 years, contributing significantly to renowned corporations improving their net income. For a number of years now this successful concept has been supplemented by the tools of Lean Management, an approach that has accelerated process speed, reduced inventories, and decreased lead times. As practiced by the authors of this book the Six Sigma+Lean approach combines the tried-and-tested tools of both worlds, which are linked together systematically in the proven DMAIC process model. The toolset is a comprehensive collection of the relevant Six Sigma+Lean tools necessary for successful project work. All of the tools are presented clearly and concisely in examples. The chronology matches that of the approach taken in a Six Sigma+Lean improvement project, following the steps Define, Measure, Analyze, Improve, and Control. This unique layout and structure has created a book ideal for practical use, enabling the reader to quickly find the right tools for a problem and concrete guidelines on how to apply them.
Economics/Management Science. --- Management/Business for Professionals. --- Organization/Planning. --- Economics. --- Industrial management. --- Business planning. --- Economie politique --- Gestion d'entreprise --- Projet d'entreprise --- Organizational effectiveness. --- Production management. --- Quality control --Statistical methods. --- Six sigma (Quality control standard). --- Total quality management. --- Management --- Business & Economics --- Management Styles & Communication --- Six sigma (Quality control standard) --- Quality management, Total --- TQM (Total quality management) --- Business. --- Management. --- Organization. --- Planning. --- Business and Management. --- Total quality control --- Quality control --- Standards
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The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices. .
Multivariate analysis. --- Quality control -- Statistical methods. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Quality control --- R (Computer program language) --- Statistical methods. --- Statistics. --- Mathematical optimization. --- Statistics and Computing/Statistics Programs. --- Statistics, general. --- Discrete Optimization. --- GNU-S (Computer program language) --- Domain-specific programming languages --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Mathematical statistics. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics . --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- R (Computer program language).
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The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "On-line Control" with subchapters 1.1 "Control Charts" and 1.2 "Surveillance Sampling and Sampling Plans" and Part 2:"Off-line Control".
Quality control -- Statistical methods -- Congresses. --- Sampling (Statistics) -- Congresses. --- Quality control --- Sampling (Statistics) --- Mathematics --- Mechanical Engineering --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Mathematical Statistics --- Industrial & Management Engineering --- Statistical methods --- Mathematics. --- Operations research. --- Decision making. --- Probabilities. --- Statistics. --- Industrial engineering. --- Production engineering. --- Probability Theory and Stochastic Processes. --- Operation Research/Decision Theory. --- Industrial and Production Engineering. --- Statistical Theory and Methods. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Standardization --- Quality assurance --- Quality of products --- Distribution (Probability theory. --- Mathematical statistics. --- Operations Research/Decision Theory. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Distribution functions --- Frequency distribution --- Characteristic functions --- Statistics . --- Manufacturing engineering --- Process engineering --- Mechanical engineering --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Probability --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Decision making
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The 10th International Workshop on Intelligent Statistical Quality Control took place in Seattle, USA, Aug 18-20, 2010. It was hosted by Professor C. M. Mastrangelo, Department of Industrial and Systems Engineering, University of Washington, Seattle. The workshop was jointly organized by Professors H.- J. Lenz, C. M. Mastrangelo, W. Schmid and P.-T. Wilrich. The twenty-seven papers in this volume were carefully selected by the scientific program committee, reviewed by its members, revised by the authors and, finally, adapted for this volume by the editors. The book is divided into two parts: Part I "On-line Control" covers fields like control charting, monitoring and surveillance as well as acceptance sampling. Part II "Off-line Control" is devoted to experimental design, process capability analysis and data quality. The purpose of the book is on the one hand to provide insights into important new developments in the area of statistical quality control – especially surveillance and monitoring – and on the other hand to critically discuss methods used in on-line and off-line statistical quality control.
Quality control -- Statistical methods. --- Sampling (Statistics). --- Quality control --- Mathematical statistics --- Mathematics --- Mechanical Engineering --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Industrial & Management Engineering --- Mathematical Statistics --- Statistical methods --- Sampling (Statistics) --- Statistics. --- Quality control. --- Reliability. --- Industrial safety. --- Statistical Theory and Methods. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Quality Control, Reliability, Safety and Risk. --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Standardization --- Quality assurance --- Quality of products --- Mathematical statistics. --- System safety. --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Prevention --- Statistics . --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life
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This handbook provides a comprehensive and detailed framework for the implementation of "Continuous Improvement" and Lean Six Sigma in a professional project management environment. For this purpose the book brings together Lean Six Sigma and the PMBOK standard for project management. It provides an integrated approach, which can be used for both transactional and manufacturing businesses to better define ways to reduce costs, enhance processes ,and achieve faster implementation and new product or service development. The reader is guided carefully and reliably through the detailed procedures introduced in this book using a comprehensive, conceptual and practical well-balanced approach.
Organizational change. --- Production management -- Statistical methods. --- Quality control -- Statistical methods. --- Six sigma (Quality control standard). --- Management --- Business & Economics --- Management Theory --- Six sigma (Quality control standard) --- Project management. --- Industrial project management --- Business. --- Leadership. --- Organization. --- Planning. --- Production management. --- Quality control. --- Reliability. --- Industrial safety. --- Business and Management. --- Operations Management. --- Quality Control, Reliability, Safety and Risk. --- Business Strategy/Leadership. --- Project Management. --- Quality control --- Standards --- System safety. --- Ability --- Command of troops --- Followership --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Organisation --- Manufacturing management --- Industrial management --- Prevention --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Creation (Literary, artistic, etc.) --- Executive ability --- Organization
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