Industry 4.1. Группа авторов

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      Preface

      In the era of global competition, improving productivity and increasing yield of the manufacturing industries through information and communication as well as cloud computing technologies, big data analytics, and cyber‐physical systems (CPS) are the common goals for the manufacturers worldwide. For instance, Germany proposed Industry 4.0 in hopes to construct Smart Factory so as to enhance its global competitiveness and continue to take the lead in manufacturing. The Advanced Manufacturing Partnership issued by the United States aimed to regain the leadership in international manufacturing competitiveness for attracting the manufacturing industries back to the United States. Chinese government brought out the plan called “Made in China 2025” in 2015, where the guidelines and strategies of becoming one of the countries with strong manufacturing power by 2025 were clearly stated. Facing the United States‐China trade war that began in 2018, even though Chinese government stopped to mention Made in China 2025 in public to not intensify the conflict, they claimed that their goals of enhancing Intelligent Manufacturing have not been changed. Adjustments on the strategies in accordance with the international trend would be made, which is considered as the new version of Made in China 2025.

Overview and Goals

      The current Industry 4.0 related technologies emphasize on productivity improvement but not on quality enhancement; in other words, they can only keep the faith of achieving nearly Zero‐Defects (ZD) state without realizing this goal. The key reason for this inability is the lack of an affordable online and real‐time Total Inspection technology. By adopting the Automatic Virtual Metrology (AVM) that has been certified with the invention patents from six countries (Taiwan ROC, USA, Japan, Germany, China, and Korea) developed by the research team of Fan‐Tien Cheng, the Editor and main author of this book, ZD can be achieved as AVM can provide the Total Inspection data of all products online and in real time. A defective product will be discarded once it is detected by AVM; in this way, all of the deliverables will be ZD. Further, the Key‐variable Search Algorithm (KSA) of the Intelligent Yield Management (IYM) system developed by our research team can be utilized to find out the root causes of the defects for continuous improvement on those defective products. As such, ZD of all products can be achieved. Therefore, once AVM and IYM are integrated into the successfully developed Industry 4.0 platform constituting of Internet of things (IoT), CPS, big data analytics, and cloud computing, the state of ZD can be realized, which is defined as Industry 4.1 by Fan‐Tien Cheng. The concepts of Industry 4.1 were disclosed in IEEE Robotics and Automation Letters in January 2016.

To realize and promote Intelligent Manufacturing, National Cheng Kung University (NCKU) established the Intelligent Manufacturing Research Center (iMRC) with Professor Fan‐Tien Cheng being its Director. Based on the platform of Advanced Manufacturing Cloud of Things (AMCoT) that won IEEE Conference on Automation Science and Engineering (CASE) 2017 Best Application Paper Award, iMRC integrates cross‐disciplinary research resources, utilizes various Intelligent‐Manufacturing related technologies, and implements Intelligent Manufacturing services [including AVM, IYM, Intelligent Predictive Maintenance (IPM), …, etc.] to develop the so‐called Intelligent Factory Automation (iFA) System Platform. Through implementing the iFA System Platform to the manufacturing tools and production lines of high‐tech (e.g. semiconductor, TFT‐LCD, and solar cell) and traditional industries (e.g. machine tool, aerospace, blow molding machine, and carbon fiber), ZD of all products as well as highly efficient and flexible intelligence capabilities (single‐machine intelligence, production‐line intelligence, and global‐fab intelligence) can be accomplished for improving the competitiveness and profits of all Intelligent‐Manufacturing related industries.

Organization and Features

      To promote Intelligent Manufacturing and carry out the vision of Industry 4.1, our research team decided to include the survey and introduction of Intelligent Manufacturing, as well as the intact concept and the core technologies of Industry 4.1, along with the successful cases of iFA implementation for Industry 4.1 in different industries all in this book. This book contains 11 chapters in total. Chapters 1–5 describe the evolution of automation and the development strategy of Intelligent Manufacturing and introduce the mandatory components and fundamental technologies for constructing Intelligent Manufacturing. Chapter 6 introduces the overall concept of iFA integrated by the AMCoT framework with pluggable modules of AVM, IPM, and IYM intelligent services. Two versions of the iFA System Platform are provided for different business models. Chapter 7 illustrates the AMCoT framework for constructing the advanced cloud manufacturing platform. Chapters 8–10 address the principles and implementation of AVM, IPM, and IYM, respectively. Finally, the actual Intelligent‐Manufacturing implementation and application cases adopting all the techniques mentioned above in seven industries, including flat panel display, solar cell, semiconductor, automobile, aerospace, carbon fiber, and blow molding, are presented in Chapter 11. Moreover, all the major patents related to AMCoT, СКАЧАТЬ