| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910458624903321 |
|
|
Autore |
Taghizadegan Salman <1957-> |
|
|
Titolo |
Essentials of lean six sigma [[electronic resource] /] / Salman Taghizadegan |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Amsterdam ; ; Boston, Mass., : Elsevier, c2006 |
|
|
|
|
|
|
|
ISBN |
|
1-280-64141-X |
9786610641413 |
0-08-046232-4 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (294 p.) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
Six sigma (Quality control standard) |
Quality control - Standards |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Front cover; Title page; Copyright; Table of contents; Front matter; Preface; About this Book; Acknowledgments; About the Author; Body; Chapter 1: Introduction to Essentials of Lean Six Sigma (6s) Strategies; 1.1 Lean Six Sigma (6s) Concept Review; 1.1.1 The Philosophy; 1.1.2 Lean/Kaizen Six Sigma Engineering; 1.2 Six Sigma Background; 1.3 Some Six Sigma Successes; Chapter 2: Statistical Theory of Lean Six Sigma (6s) Strategies; 2.1 Normal Distribution Curve; 2.2 Six Sigma Process Capability Concepts; 2.2.1 Six Sigma Short-Term Capability; 2.2.2 Estimation of Six Sigma Long-Term Capability |
Chapter 3: Mathematical Concepts of Lean Six Sigma Engineering Strategies 3.1 Process Modeling-The Heart of Lean Six Sigma; 3.2 The Normal Distribution; 3.3 The Standard Normal Distribution; 3.4 t-Distribution; 3.4.1 Confidence Interval for the Difference of Two Means; 3.5 Binomial Distribution; 3.6 Poisson Distribution; 3.7 Exponential Distribution; 3.8 Hypergeometric Distribution; 3.9 Normality Tests; 3.9.1 Kurtosis; 3.9.2 Anderson Darling; 3.10 Reliability Engineering and Estimation; 3.11 Quality Cost; Chapter 4: Six Sigma Continuous Improvement |
|
|
|
|
|
|
|
|
|
|
|
4.1 Six Sigma Continuous Improvement Principles 4.2 Six Sigma Systems; 4.3 Six Sigma Improvement and Training Models; Chapter 5: Design for Six Sigma: Roadmap for Successful Corporate Goals; 5.1 Design for Six Sigma (DFSS) Principles; 5.2 Design for Six Sigma Steps; 5.3 Six Sigma Ergonomics; 5.4 Tools and Techniques; 5.5 Process Management; Chapter 6: Design for Lean/Kaizen Six Sigma; 6.1 Lean Six Sigma and Principles; 6.1.1 Elements of Lean Manufacturing/Production; 6.1.2 Waste Types in Lean Manufacturing; 6.1.3 The Five Lean Themes and Steps; 6.2 The Elements of Lean Performance Measurements |
6.2.1 Strategic Measurement Model 6.2.2 Key Elements That Make a Product Successful in the Marketplace; 6.3 Competitive Product Benchmarking Concepts; 6.4 Integration of Kaizen, Lean, and Six Sigma; 6.4.1 Six Sigma, Lean, and Kaizen Principles; 6.4.2 Prolong Production Performance (PPP); 6.4.3 A Lean Concept in Reduction of Lead Time; 6.5 Lean/Kaizen Six Sigma Infrastructure Evolution Tools and Highlights in Summary; 6.5.1 Corporate Commitment; 6.5.2 Steps to Achieve the Six Sigma Goals; 6.6 Mathematical Modeling of Lean Six Sigma Relations; 6.6.1 Lean Six Sigma Experimental Design |
Chapter 7: Roles and Responsibilities to Lean Six Sigma Philosophy and Strategy 7.1 The Roadmap to Lean Six Sigma Philosophy and Strategy; 7.2 Creation of Six Sigma Infrastructure; 7.2.1 Executive Sponsor; 7.2.2 Champion; 7.2.3 Master Black Belt; 7.2.4 Black Belt (Team Leader); 7.2.5 Green Belt (Team Participant); 7.2.6 Team Recognition/Compensation; Chapter 8: Road Map to Lean Six Sigma Continuous Improvement Engineering Strategies; 8.1 Six-Sigma Continuous Improvement Engineering; 8.2 Definition and Measurement; 8.2.1 Phase 0: Process Definition/Project Selection |
8.2.2 Phase I: Process Measurement |
|
|
|
|
|
|
Sommario/riassunto |
|
Six Sigma is a management program that provides tools that help manufacturers obtain efficient, stream-lined production to coincide with ultimate high quality products. Lean Six Sigma will show how the well-regarded analytical tools of Six Sigma quality control can be successfully brought into the well-established models of "lean manufacturing,? bringing efficient, stream-lined production and high quality product readily together. This book offers a thorough, yet concise introduction to the essential mathematics of Six Sigma, with solid case examples from a variety of industrial settings |
|
|
|
|
|
|
|
| |