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Networking in Japanese Factory Automation
— —
Koichi Kishimoto
Networking in Japanese Factory Automation by Koichi Kishimoto at Abbey's Bookshop,

Networking in Japanese Factory Automation

Koichi Kishimoto



International economics;
Business & management;
International business;
Production engineering;
Computer networking & communications


106 pages

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In Japan information technology has been a vital part of manufacturing for decades. A central factory computer provides a production plan and shop minicomputers and microcomputers in the factory run machines that manufacture products. It has become necessary to connect computers installed at different locations to enable information exchange between different sections. This volume discusses the ring-type LAN; the TOSLINE-8000 high-speed optical data highway for high-speed real-time control systems; the TOSLINE-2000E, a compact, low-cost independent local area network; the status of MAP, a communications protocol for manufacturing automation established by General Motors and MAP activities in Japan

Edited by:   Koichi Kishimoto
Imprint:   Routledge
Country of Publication:   United Kingdom
Dimensions:   Height: 235mm,  Width: 159mm,  Spine: 234mm
Weight:   318g
ISBN:   9780415587181
ISBN 10:   0415587182
Series:   Routledge Library Editions: Japan
Pages:   106
Publication Date:   September 2010
Audience:   College/higher education ,  Professional and scholarly ,  Professional & Vocational ,  Further / Higher Education ,  A / AS level
Format:   Hardback
Publisher's Status:   Active

Foreword xiii Preface xv Chapter 1 Where?s the Value? 1 Some Basics 1 What Is Analytics? 2 Two Values 4 Analytic Capabilities 4 Analytic Value Chain 6 Analytic Model 8 Typical Application 14 Training Value Measurement Model 15 Inside the Data 16 Notes 19 Chapter 2 Getting Started 21 Go-to-Market Models 22 Assessment 23 Developmental Experiences 23 Financial Connections 24 Sample Case 26 Focusing on the Purpose 26 Present-Day Needs 28 How Human Capital Analytics Is Being Used 29 Turning Data into Information 30 Three Value Paths 30 Solving a Problem 31 Essential Step 31 Prime Question 32 Case in Point 32 Preparing for an Analytics Unit 33 Ten Steps for an Analytics Unit 35 Structure and Team Building 36 Developing an Analytics Culture 37 Notes 37 Chapter 3 What You Will Need 39 Dealing with the C Level 40 Breaking Through 41 Research 41 Recruiting a Sponsor or Champion 42 Making the Sale 43 Selling Example 44 Working with Consultants and Coaches 46 Designing and Delivering Reports 48 Making an Impact 50 Process Management 50 Preparation 52 Notes 54 Chapter 4 Data Issues 55 Efficiency Measures 56 Effectiveness Measures 61 Business Outcome Measures 67 Note 69 Chapter 5 Predictive Statistics Examples 71 Begin with the End in Mind 71 Go Back to the Beginning 74 Who Owns Data, and Will They Share It? 75 What Will You Do with the Data? 77 What Form Is the Data In? 79 Is the Data Quality Sufficient? 80 Note 82 Chapter 6 Predictive Analytics in Action 83 First Step: Determine the Key Performance Indicators 83 Second Step: Analyze and Report the Data 89 Relationships, Optimization, and Predictive Analytics 96 Predictive Analytics 97 Interpreting the Results 102 Predicting the Future 111 Structural Equation Modeling 113 Notes 114 Chapter 7 Predicting the Future of Human Capital Analytics 115 What Does the Future Look Like? 116 Bringing It All Together 126 Predictive Analytics for HR in Action 126 Notes 128 Epilogue 129 Appendix: Example Measures of Efficiency, Effectiveness, and Outcomes 133 About the Authors 135 Index 137

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