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Lean Six Sigma in the Age of Artificial Intelligence : Harnessing the Power of the Fourth Industrial Revolution /
"Since 2001, business leaders have been using Lean Six Sigma to drive improvements across industries, enabling their companies to reduce cost and cycle time, thus improving revenue and profits. In Lean Six Sigma in the Age of Artificial Intelligence, the world's most respected expert on LS...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, N.Y. :
McGraw-Hill Education,
[2019]
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| Edición: | First edition. |
| Colección: | McGraw-Hill's AccessEngineering.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 020 | |a 9781260135039 (print-ISBN) | ||
| 020 | |a 1260135039 (print-ISBN) | ||
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| 082 | 0 | 4 | |a 658.5 |2 23 |
| 100 | 1 | |a George, Michael L., |c Sr., |e author. | |
| 245 | 1 | 0 | |a Lean Six Sigma in the Age of Artificial Intelligence : |b Harnessing the Power of the Fourth Industrial Revolution / |c Michael L. George Sr., Daniel K. Blackwell, Michael L. George Jr., Dinesh Rajan. |
| 250 | |a First edition. | ||
| 264 | 1 | |a New York, N.Y. : |b McGraw-Hill Education, |c [2019] | |
| 264 | 4 | |c ?2019 | |
| 300 | |a 1 online resource (332 pages) : |b 50 illustrations. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a McGraw-Hill's AccessEngineering | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Cover -- |t Title Page -- |t Copyright Page -- |t Dedication -- |t Contents -- |t Author?s Note -- |t The Brain: Inspiration for the Neural Network and Deep Learning -- |t CHAPTER 1 AI Data Mining Guides an EBITDA Turnaround -- |t EXECUTIVE ACTIONS AND FINANCIAL RESULTS IN 2017 -- |t 1. MANAGEMENT TEAM -- |t 2. ARTIFICIAL INTELLIGENCE DATA MINING -- |t 3. CASH FLOW IMPROVEMENT -- |t 4. LABOR EFFICIENCY -- |t 5. QUALITY AND SCRAP COST -- |t 6. TOTAL PRODUCTIVE MAINTENANCE -- |t 7. SETUP TIME REDUCTION -- |t 8. EMPLOYEE MORALE -- |t 9. EBITDA -- |t 10. INVENTORY TURNS -- |t CONCLUSION -- |t CHAPTER 2 The Waste That Only Artificial Intelligence Can?Eliminate -- |t TOYOTA CYCLE TIME AND INVENTORY REDUCTION -- |t IMPACT OF SCRAP ON BATCH SIZE -- |t IMPACT OF MACHINE DOWNTIME ON BATCH SIZE -- |t COMBINED IMPACT OF SCRAP AND MACHINE?DOWNTIME -- |t PRODUCTION IN TOYOTA RAPID SETUP CELLS -- |t THE FOUR STEP RAPID SETUP METHOD OF TOYOTA -- |t ULTIMATE GOAL OF TOYOTA: EFFICIENT RANDOM PART?SEQUENCE PRODUCTION -- |t WHY MANUFACTURING CELLS ARE SUCCESSFUL AT?TOYOTA -- |t WHY MANUFACTURING CELLS ARE NOT SUCCESSFUL WITH A SINGLE EXTERNAL CUSTOMER -- |t HOW ARTIFICIAL INTELLIGENCE PROTECTS WASTE REDUCTION DESPITE THE LOSS OF A SINGLE CUSTOMER -- |t THE LARGER THE NEURAL NETWORK, THE LOWER THE WASTE COST -- |t SEQUENCING TO MINIMIZE THE COST OF JOB SHOP MANUFACTURING -- |t GENERIC SETUP REDUCTION -- |t AI FINDS WASTE HIDDEN FROM LEAN SIX SIGMA AND CREATES NEW TOOLS -- |t CONCLUSION -- |t CHAPTER 3 The Productivity Challenge of the Twenty-First Century -- |t INTERNET COMMERCE: A SOURCE OF PRICE?DEFLATION? -- |t FIRST MANUFACTURING REVOLUTION -- |t SECOND MANUFACTURING REVOLUTION -- |t THIRD MANUFACTURING REVOLUTION -- |t THE FOURTH MANUFACTURING REVOLUTION -- |t OVERCOMING THE OBSTACLES TO LEARNING ABOUT?ARTIFICIAL INTELLIGENCE -- |t THE DANGERS OF NOT IMPLEMENTING ARTIFICIAL?INTELLIGENCE -- |t CHAPTER 4 Why Is the Fourth Industrial Revolution Needed Now? -- |t WHY AI NOW? -- |t CHAPTER 5 AI Data Mining, Product Flow, and Cycle Time -- |t DATA MINING THE PROFIT OPPORTUNITY -- |t THE JOB SHOP FLOW PROBLEM -- |t SUMMARY -- |t CHAPTER 6 Executive Overview of the Fourth Manufacturing?Revolution -- |t DIVIDE AND CONQUER -- |t THE FIRST STEP: MODIFICATION OF?THE LEAN SIX SIGMA PULL SYSTEM TO ARTIFICIAL INTELLIGENCE PULL -- |t THE TRAVELING SALESMAN PROBLEM: BRANCH AND BOUND TRAINING OF THE NEURAL NETWORK -- |t EXECUTIVE OVERVIEW OF NEURAL NETWORKS AND DEEP?LEARNING -- |t AI PLANT LAYOUT: DECOMPOSITION OF WIP BY LIKE-MACHINE GROUPS -- |t SUMMARY -- |t CHAPTER 7 Introduction to Deep Learning and Neural Networks -- |t EXAMPLE 1 -- |t EXAMPLE 2 -- |t SUMMARY -- |t CHAPTER 8 Specific Applications of Deep Learning in Manufacturing -- |t 1. JOB SHOP SCHEDULING -- |t 2. TESTING AND QUALITY CONTROL -- |t 3. PROCESSING/TOOL ORDER DETERMINATION FOR NEW PRODUCTS -- |t CHAPTER 9 AI Pull System Development -- |t PULL SYSTEMS -- |t WIP CONTROL PULL SYSTEMS -- |t THE DYNAMISM OF JOB SHOPS -- |t REPLENISHMENT PULL SYSTEMS -- |t CONCLUSION -- |t CHAPTER 10 Conducting an AI Readiness Assessment -- |t PERFORMANCE FACTORS TO ASSESS -- |t TRIAGING PRIORITY ACTIONS -- |t ASSESSMENT AND ACTION AT THE "AEROSPACE"?COMPANY -- |t SHAPING AN EFFECTIVE DEPLOYMENT -- |t CHAPTER 11 AI Lean Six Sigma in Process Industries -- |t CONCLUSION -- |t A SHORT HISTORY OF SEMICONDUCTORS -- |t CHAPTER 12 AI in Predictive Maintenance to Prevent Machine?Downtime -- |t MEASURING VIBRATION -- |t CHAPTER 13 AI in Project Management and Product Development -- |t DISASTROUS IMPACT OF SCHEDULING 40 HOURS OF?WORK PER WEEK -- |t NEURAL NETWORKS FOR PROJECT MANAGEMENT -- |t MANAGEMENT ENGAGEMENT IS REQUIRED -- |t DATA MINING PAST PROJECTS -- |t INPUTS FOR THE NEURAL NETWORK -- |t SUMMARY -- |t Endnotes -- |t Index -- |t A -- |t B -- |t C -- |t D -- |t E -- |t F -- |t G -- |t H -- |t I -- |t J -- |t K -- |t L -- |t M -- |t N -- |t O -- |t P -- |t Q -- |t R -- |t S -- |t T -- |t U -- |t V -- |t W -- |t X -- |t Z. | |
| 520 | 0 | |a "Since 2001, business leaders have been using Lean Six Sigma to drive improvements across industries, enabling their companies to reduce cost and cycle time, thus improving revenue and profits. In Lean Six Sigma in the Age of Artificial Intelligence, the world's most respected expert on LSS, Michael George, shows how to harness the power of Artificial Intelligence to dramatically enhance any LSS management program. This game-changing guide takes you through the process of using AI to unlock maximum speed, solve complex manufacturing challenges, reduce waste, increase company profits, and ultimately outflank your competition at every turn. With Lean Six Sigma in the Age of Artificial Intelligence, you'll take this revolutionary approach to its limits--and that will make all the difference between business success and failure in the coming decades."--Publisher's description. | |
| 530 | |a Also available in print edition. | ||
| 533 | |a Electronic reproduction. |b New York, N.Y. : |c McGraw Hill, |d 2019. |n Mode of access: World Wide Web. |n System requirements: Web browser. |n Access may be restricted to users at subscribing institutions. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | |a Description based on e-Publication PDF. | ||
| 650 | 0 | |a Production management |x Quality control. | |
| 650 | 0 | |a Six sigma (Quality control standard) | |
| 650 | 0 | |a Process control. | |
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Production & Operations Management |2 bisacsh. | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Management |2 bisacsh. | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Industries / Automobile Industry |2 bisacsh. | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Industries / Manufacturing |2 bisacsh. | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Industrial Management |2 bisacsh. | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Strategic Planning |2 bisacsh. | |
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a Blackwell, Daniel K., |e author. | |
| 700 | 1 | |a George, Michael L., |c Jr., |e author. | |
| 700 | 1 | |a Rajan, Dinesh, |e author. | |
| 776 | 0 | |i Print version: |t Lean Six Sigma in the Age of Artificial Intelligence : Harnessing the Power of the Fourth Industrial Revolution. |b First edition. |d New York, N.Y. : McGraw-Hill Education, 2019 |w (OCoLC)1046602096 | |
| 830 | 0 | |a McGraw-Hill's AccessEngineering. | |
| 856 | 4 | 0 | |u https://accessengineeringlibrary.uam.elogim.com/content/book/9781260135039 |z Texto completo |