Connected, Intelligent, Automated

Nicole Radziwill

Description

Quality 4.0 is for all industries, and this book is for anyone who wants to learn how Industry 4.0 and Quality 4.0 can help improve quality and performance in their team or company. This comprehensive guide is the culmination of 25 years of research and practice-exploring, implementing, and critically examining the quality and performance improvement aspects of Industry 4.0 technologies. Navigate the connected, intelligent, and automated ecosystems of infrastructure, people, objects, machines, and data. Sift through the noise around AI, AR, big data, blockchain, cybersecurity, and other rising technologies and emerging issues to find the signals for your organization. Discover the value proposition of Quality 4.0 and the leading role for quality professionals to drive successful digital transformation initiatives. The changes ahead are powerful, exciting, and overwhelming-and we can draw on the lessons from past work to mitigate the risks we face today.Connected, Intelligent, Automated provides you with the techniques, philosophies, and broad overall knowledge you need to understand Quality 4.0, and helps you leverage those things for the future success of your enterprise.
Chapter 1: Quality 4.0 and the Fourth Industrial Revolution
Chapter 2: Connected Ecosystems
Chapter 3: Intelligent Agents and Machine Learning
Chapter 4: Automation: From Manual Labor to Autonomy
Chapter 5: Quality 4.0 Use Cases Across Industries
Chapter 6: From Algorithms to Advanced Analytics
Chapter 7: Delivering Value and Impact Through Data Science
Chapter 8: Data Quality and Data Management
Chapter 9: Software Applications & Data Platforms
Chapter 10: Blockchain
Chapter 11: Performance Excellence
Chapter 12: Environment, Health, Safety, Quality (EHSQ), and Cybersecurity
Chapter 13: Voice of the Customer (VoC)
Chapter 14: Elements of a Quality 4.0 Strategy
Chapter 15: Playbook for Transformation
N. M. Radziwillspan is Senior VP of Quality and Strategy at Ultranauts, a professional services firm specializing in quality assurance and quality engineering for software, data science, and digital transformation. Radziwill is editor of the journal, Software Quality Professional, an ASQ fellow, and an ASQ-certified Six Sigma Black Belt. Radziwill is one of ASQ's Influential Voices and blogs.

Sujets

• Business
• Qualité, hygiène, sécurité, environnement
• Techniques
• Automatisation et Contrôle
• Contrôle des processus
• Automatisation
• Automate
• AR
• Automation
• AI
• Artificial intelligence
• Engineering
• Technology
• Sciences et techniques

Informations

• Publié par: ASQ Quality Press
• Date de parution: 01 février 2020
• Nombre de lectures: 0
• EAN13: 9781951058029
• Langue: English
• Poids de l'ouvrage: 13 Mo

Extrait

CONNECTED, INTELLIGENT, AUTOMATED

DATA QUAïT Y TïTES FROM QUAïT Y PRESS

Data Quaîty: Dîmensîons, Measurement, Strategy, Management, and Governance Rupa Maantî

Data ïntegrîty and Compîance: A Prîmer or Medîca Product Manuacturers José Rodríguez-Pérez

NEW FROM QUAïT Y PRESS

ïSO 56000: Buîdîng an ïnnovatîon Management System: Brîng Creatîvîty and Curîosîty to Your QMS Peter Merrî

Foundatîons o Quaîty Rîsk Management Jayet Moon

Cuture ïs Everytîng: How to Become a True Cuture Warrîor and Lead Your Organîzatîon to Vîctory Jef Veyera

Spîttîng te DMAïC: Uneasîng te Power o Contînuous ïmprovement Tom Quîck

Root Cause Anaysîs: he Core o Probem Sovîng and Correctîve Actîon, Second Edîtîon Duke Okes

Uneas Quaîty: Buîdîng a Wînnîng Strategy or a Cuture o Quaîty tat Wî Uneas Your Growt and ProIt Potentîa Arron S. Ange

he ASQ CertîIed Manager o Quaîty/Organîzatîona Exceence Handbook, Fît Edîtîon Dougas Wood and Sandra . Furterer, eds.

he ASQ CertîIed Quaîty Audîtor Handbook, Fît Edîtîon ance B. Coeman Sr., ed.

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CONNECTED, INTELLIGENT, AUTOMATED

The Definitive Guide to Digital Transformation and Quality .

N. M. RADZIWILL

Fîrst Edîtîon

Quaîty Press Mîwaukee, Wîsconsîn

Connected, ïnteîgent, Automated © 2020 by Nîcoe Radzîwî

A rîgts reserved. Pubîsed 2020

Prînted în te Unîted States o Amerîca 23 22 21 20 5 4 3 2 1 Pubîser’s Cataogîng-în-Pubîcatîon Data

Names: Radzîwî, Nîcoe M., autor. Tîte: Connected, înteîgent, automated : te deInîtîve guîde to dîgîta transormatîon and quaîty 4.0, Irst edîtîon / Nîcoe Radzîwî. Descrîptîon: ïncudes bîbîograpîca reerences and îndex. | Mîwaukee, Wï: Quaîty Press, 2020. ïdentîIers: CCN: 2019953974 | ïSBN: 978-1-951058-005 (pbk.) | 978-1-951058-01-2 (ebook) | 978-1-951058-02-9 (pd ) Subjects: CSH Tota quaîty management. | Organîzatîona efectîveness. | Productîon management. | ArtîIcîa înteîgence—ïndustrîa appîcatîons. | Computer întegrated manuacturîng systems. | System anaysîs. | Decîsîon makîng. | ïnormatîon tecnoogy. | BïSAC TECHNOOGY & ENGïNEERïNG / Automatîon | COMPUTERS / ArtîIcîa ïnteîgence / Genera | TECHNOOGY & ENGïNEERïNG / Quaîty Contro | BUSïNESS & ECONOMïCS / Tota Quaîty Management | TECHNOOGY & ENGïNEERïNG / Tecnîca & Manuacturîng ïndustrîes & Trades CassîIcatîon: CC HD62.15 .R335 2020 | DDC 658.4/013—dc23

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Prînted on acîd-ree paper

TABLEOFCONTENTS

AB OU T THïS B O OK

PREFACE

Wo hîs Book ïs For Quaîty 4.0 ïs or A ïndustrîes WyïWrotehîsBook My ïndustry 4.0/Quaîty 4.0 Story How hîs Book ïs Structured Movîng Forward Reerences

CHAPTER ONE Quality 4.0 and the Fourth Industrial Revolution

he Fourt ïndustrîa Revoutîon Wy Now? he ïmpact o ïndustry 4.0 on Quaîty Quaîty 4.0: he Next Generatîon o Exceence

Connectedness 10 ïnteîgence 12 Automatîon 13

Dîscovery: he New Roe o Quaîty Vaue Proposîtîons or Quaîty 4.0 Quaîty Proessîonas: eadîng te Transormatîon Brave New Word he Bottom îne Reerences

v

xvîî

xxî

xxîî xxîîî xxîîî xxîîî xxv xxvîî xxvîî



3 7 8 10

15 16 17 18 19 20

CHAPTER TWO Connected Ecosystems

vi | Table of Contents

Natura and Organîzatîona Ecosystems ïnrastructure

Connectîvîty and 5G Networks 28 ïnternet Protoco Versîon 6 (ïPv6) 29 Coud Computîng 29 Sotware-DeIned Systems 30 Edge Computîng 31 Cyber-Pysîca Systems (CPS) 32

Peope

Protocos and Procedures 33 Socîa Medîa and Engagement 34 Catbots and ïnteîgent Conversatîona Agents 35 Random Coîsîons o Unusua Suspects (RCUS) 35

Objects and Macînes

Operatîons Tecnoogy (OT) 36 ïndustrîa ïnternet o hîngs (ïïoT) 37 ïnternet o hîngs (ïoT) 37 Sensors, Actuators, and Mîcrocontroers 38 Radîo Frequency ïdentîIcatîon (RFïD) and Beacons Dîgîta Twîns 38 Robotîcs 40 Wearabes 40 3D Prîntîng 40 Smart Materîas and 4D Prîntîng 41 Neurotecnoogîes 41

Data

38

Structured and Unstructured Data 42 Streamîng Data and Anaysîs Pîpeînes 43 Data Lakes and Data Wareouses 43 Vîrtua, Augmented, and Dîmînîsed Reaîty (VR/AR/DR)

44





25 27

33

36

42

he Bottom îne Reerences

Table of Contents | vii

CHAPTER THREE Intelligent Agents and Machine Learning

Modes Drîve Contînuous ïmprovement

Wat ïs Learnîng? 53 Learnîng Fues Contînuous ïmprovement Macîne Learnîng 55 ArtîIcîa ïnteîgence 56 he Hype 57 he Reaîty: Strong and Weak Aï 58 ïnteîgent Agents 59

Exampes o Aï

54

ML Probem Types 61 Fîndîng Patterns (Unsupervîsed Learnîng) 62 ïdentîyîng Key Predîctors (Data Reductîon) 64 ïdentîyîng ïrreguarîtîes (Anomay Detectîon) 65 Learnîng rom Exampes (Supervîsed Learnîng) 66 Learnîng rom Experîence (Reînorcement Learnîng)

he Socîa Context o ïnteîgent, Connected Systems

67

Sîy and Embarrassîng 68 Potentîay Damagîng ï Used ïncorrecty 70 Potentîay Trauma ïnducîng, Hostîe, or Deady 71 Caengîng to Socîa Norms, Beavîors, and Reguatîons

he Bottom îne Reerences

CHAPTER FOUR Automation: From Manual Labor to Autonomy

Mecanîzatîon and Automatîon

ïnnovatîon Happens at te Edges Reasons or Automatîon 84

82

72

44 45

4



5

6

2

0

6

8

74 75



81

viii | Table of Contents

Buîdîng Bocks or Automatîon ïndustrîa Contro System (ïCS)

eves o Automatîon

85 88

Were Automatîon Occurs 89 Wat Kînd o Automatîon Can Be Done 90 How Humans, Macînes, and Computers Automate

Exampes o Automatîon

Robotîc Automatîon 94 Robotîc Process Automatîon (RPA) Desîgn Automatîon 95 Automatîc Code Generatîon 96 Test Automatîon 96

Automatîon Acceptance

94

Preservîng Agency and Counterîng Resîstance Tecnoogy Foows Beavîor 98 Workorce ïmpîcatîons 99

he Bottom îne Reerences

CHAPTER FIVE Quality 4.0 Use Cases across Industries

Connected, ïnteîgent, and Automated Key hemes în ïndustry 4.0 and Quaîty 4.0

Patents: 1990–2014 107 ïndustry 4.0 Use Cases 108 Lîterature Revîew and Text Anaysîs

New Busîness Modes Quaîty 4.0 Case Studîes

Case 1: Heaty Operator 4.0 118 Case 2: Augmented Worker 118 Case 3: Logîstîcs 4.0 119

109

97

92

89

9

2

97

100 101

0

105 107

113 115

Anaytîcs and Busîness ïnteîgence

he Bottom îne Acknowedgments Reerences

he Cascadîa Story

Case 4: Leaner Management 120 Case 5: Smart Labes 121 Case 6: Predîctîve Maîntenance/Smart Asset Management Case 7: Raî Accîdent Preventîon 122 Case 8: Oîve Oî Suppy Caîn 123 Case 9: Medîca Process Contro wît Bockcaîn 124 Case 10: Parma 4.0 124

129

125 126 126

Anaog Computîng and Agorîtms 136 Exampes o Agorîtms and Non-Agorîtms

132

From Anaytîcs to Advanced Anaytîcs 130 Descrîptîve, Dîagnostîc, Predîctîve, Prescrîptîve Busîness ïnteîgence 134

138

Wat ïs an Agorîtm?

Table of Contents | ix

147

ïnvestîgatîng te Gost Forest 148 ïnsîgts rom Hîstorîca Records 149 Lessons rom Cascadîa 149

CHAPTER SEVEN Delivering Value and Impact through Data Science

4

139

143 144 144

136



122

ïntroducîng Data Scîence

he Bottom îne Acknowedgments Reerences

Quaîty Consîderatîons 141 Lessons or Quaîty Assurance

CHAPTER SIX From Algorithms to Advanced Analytics

143