摘要(英) |
The development of the Internet has made the world smaller, the establishment of communication infrastructure has made information transmission convenient, the popularity and miniaturization of sensors/conductors have made data collection convenient, and the application of big data has allowed us to expand differently. Vision. We stand on the edge of the technological revolution, which will revolutionize the way we live, work and connect with each other. In terms of its size, scope and complexity, the transformation will be different from anything that humans have experienced before. We don′t know how it will unfold, but one thing is clear. Its response must be comprehensive and comprehensive, involving all stakeholders around the world, from the public and private sectors to academia and civil society.
The first industrial revolution used water and steam power to mechanize production. The second use of electricity to create mass production. The third time using electronic and information technology to achieve production automation. Now, the fourth industrial revolution is building a digital revolution that has been taking place since the middle of the last century. It is characterized by a technique that combines the boundaries between the physical, digital and biological domains. The fourth industrial revolution is developing at an exponentially and non-linear rate. Moreover, it almost disrupts every industry in every country. The breadth and depth of these changes heralds a shift in the entire production, management and governance system.
Industry 4.0 The era of smart manufacturing is coming. The production mode of Industry 4.0 is based on new technologies such as Internet of Things, Big Data, Cloud System, AI, 5G, etc., and data convergence is connected to every link of the industrial value chain, emphasizing cross-domain virtual and real integration, breaking Production and services and the boundaries of the company are re-deconstructing the value chain and shaping the global manufacturing division. How do companies use data to make decisions? At present, most business models use limited data and information to predict product demand and build capacity. Before and after receiving orders, they first produce a batch and then sell it. To meet the needs of orders and increase capacity utilization. Since the production data and the terminal market data are not fully linked, in the end, there will be a phenomenon of both inventory and shortage due to the gap between supply and demand. The core concept of Industry 4.0 is based on flexible decision making and smart production under big data. In other words, we connect the needs of each customer with the smart manufacturing system with flexible decision-making capabilities, and integrate every link through social media such as the Internet of Things and the Internet, so that data flows through the entire value chain, and manufacturers are in the industry. Under the premise of chain big data and various needs, “there is demand to produce”, on the one hand, it meets the needs of a small variety of market and even extreme personalization, which makes the added value of products higher. That is to say, relying on information technology and the Internet to enable enterprises to develop a system that can predict human behavior habits, the ability to detect changes and make timely decisions, from individual enterprise departments and companies to the entire manufacturing network, and to the industrial chain. The end.
Finally, the fourth industrial revolution will not only change our behavior, but also change our essence. It will affect our identity and all the issues related to it, our privacy, our ownership concept, our consumption patterns, the time we put into work and leisure, and how we develop our careers. It is already changing everything about us. Technology and the consequent destruction are not external forces beyond human control. All of us have a responsibility to guide their development. Therefore, we should seize the opportunity and strength to shape the fourth industrial revolution and lead it to a future that reflects our common goals and values. |
參考文獻 |
1.Klaus Schwab, The Fourth Industrial Revolution, REUTERS, December 12, 2015.
2.簡禎富 Chen-Fu Chien,如何先打造出「工業3.5」的能力,台北,哈佛商業評論,2017。
3.Michael E. PorterJames E. Heppelmann, How Smart, Connected Products Are Transforming Companies, Harvard Business Review, OCTOBER 2015
4.Shiyong Wang, Jiafu Wan, Di Li, Chunhua Zhang, Implementing Smart Factory of Industrie 4.0: An Outlook, January 19, 2016
5.Erik Brynjolfsson, Andrew McAfee, The Business Of Artificial Intelligence, 2017/10/18
6.Rick Burke, Adam Mussomeli, Stephen Laaper, Marty Hartigan, Brenna Sniderman, Deloitte analysis report, 2018/Jun
7.Agnieszka Radziwona et al., The smart factory: Exploring adaptive and flexible manufacturing solutions, ProcediaEngineering69(2014)
8.Henning Kagermann Wolf-Dieter Lukas, Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution, 1. April 2011
9.IBM 工業4.0智慧製造 (2015)
10.Dr. Mark Cotteleer, How Industrial IoT Will Reshape Manufacturing – And The Bottom Line, April 27, 2017
11.Dan Wellers, Timo Elliott, Markus Noga, 8 Ways Machine Learning Is Improving Companies′ Work Processes, 2017/6/28
12.Tractica Artificial Intelligence Market Forecasts, Artificial Intelligence Software Market to Reach $105.8 Billion in Annual Worldwide Revenue by 2025, August 20, 2018
13.Markus Lorenz , Daniel Küpper , Michael Rüßmann , Ailke Heidemann , and Alexandra Bause, Time to Accelerate in the Race Toward Industry 4.0, May 19, 2016
14.Philipp Gerbert , Markus Lorenz , Michael Rüßmann , Manuela Waldner , Jan Justus , Pascal Engel , and Michael Harnisch, Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries, April 9, 2015
15.Tomas Kellner, An Epiphany Of Disruption: GE Additive Chief Explains How 3D Printing Will Upend Manufacturing, Nov 13, 2017
16.Plattform Industrie 4.0, Digital Transformation „Made in Germany“, 2018/3/16
17.Dave Perkon, Understand IIoT technology for a Smart Factory future, Jan 24, 2017
18.Günther Schuh, Reiner Anderl, Jürgen Gausemeier, Michael ten Hompel, Wolfgang Wahlster (Eds.), Industrie 4.0 Maturity Index: Managing the Digital Transformation of Companies, 25. April 2017
19.Wikipedia, GDPR General Data Protection Regulation, 2016/5/4
20.Paul DeBeasi, Kirk Knoernschild, 2019 Planning Guide Overview: Architecting Your Digital Ecosystem, 05 October 2018
21.Wikipedia, Rolls-Royce’s pioneering “power-by-the-hour” model, 2012/Oct/30.
22.Sysmex, McKesson Medical-Surgical to Offer New Sysmex Device That Provides Blood Test Results at Point of Care in Minutes, February 05, 2018
23.Diebold Nixdorf, Diebold Software Innovation Slashes Fraud Exposure Through Secure Onboarding To Digital Payments, 21 October 2015
24.Caterpillar Inc., New CAT® remote services reduce equipment diagnostics and update time to improve jobsite efficiency, November 2018
25. Andy Greenberg (Forbes Staff), DARPA-Funded Researchers Help You Learn To Hack A Car For A Tenth The Price, Apr 8, 2014
26.Venkat Atluri Saloni Sahni, and Satya Rao, The trillion-dollar opportunity for the industrial sector: How to extract full value from technology, November 2018
27.Thomas H. Davenport, Rajeev Ronanki, Artificial Intelligence for the Real World, Jan-Feb 2018
28.H. James Wilson, Paul R. Daugherty, Collaborative Intelligence: Humans and AI Are Joining Forces, 2018/7/21
29.Khari Johnson, Koko raises $2.5 million to put human empathy inside every virtual assistant, 2016/8/8
30.3D Printing Media Network, Autodesk Dreamcatcher Generative Tools Will be Integrated into Netfabb 2018, 2017/6/26
31.Sophie Charara, The Cortana smart home: Your need-to-know on Microsoft′s voice assistant, 2018/11/6
32.SEB news, Burning passion to use AI for world-class service, 2017/8/21
33. Hyundai news, Hyundai showcases Advanced Wearable Robots at 2017 Geneva Motor Show, 7 March 2017
34. Bern Elliot, Whit Andrews, A Framework for Applying AI in the Enterprise, 28 June 2017
35.Carlton Sapp, Laying the Foundation for Artificial Intelligence and Machine Learning: A Gartner Trend Insight Report, 20 September 2018
36.David Cearley, Brian Burke, Top 10 Strategic Technology Trends for 2019, 15 October 2018
37.Christian Plagemann, Introducing the Udacity Data Scientist Nanodegree Program, 2018/5/25
38.Ed Tittel, Google and Coursera Introduce New IT Support Training and Certificate, 2018/1/16
39.Mariya Yao, Artificial Intelligence Education Transforms The Developing World, 2017/4/10
40.Erik Brynjolfsson, Andrew McAfee, The Second Machine Age Work, Progress, and Prosperity in a Time of Brilliant Technology, 2014/1/20
41.Wikipedia, General Electric Company History, 2019/1/25
42.Wikipedia, General Electric timeline, 2018/6/19
42.Andrew Thompson, General Electric’s (GE) Vision Statement and Mission Statement, 20 October, 2017
43.Justin Young, General Electric Company (GE) Operations Management Areas: 10 Decisions, Productivity, 19 October, 2017
44.Andrew Thompson, General Electric’s (GE) Organizational Structure for Diversification & Generic Strategy & Intensive Growth Strategies, 8 September, 2018
45.Jeffrey R. Immelt, How I Remade GE and What I Learned Along the Way, 2017/8/30
46.GE Digital, PREDIX The Industrial IoT Application Platform, 2018
47.GE Reports Canada, What is FastWorks?, November 16, 2017
48.GE Addtive, Scan and fix: GE Aviation uses additive technology to fast track engine component repairs, July 10, 2018
49.GE Report-Maggie Sieger, Trust Yourself, Then Take The Leap: A Former Demolitions Expert Is Building Up The Leaders Of Tomorrow, Sep 27, 2017
50.Matthew Chapman, Leadership Excellence Within GE, 05 Apr 2016
51.Mark Egan, Digital Energy: How The Cloud Is Helping This Desert Utility Keep The Lights On, Mar 29, 2016
52.Todd Alhart, Laser Focus: Machine Learning Will Give 3D Printers Eyes, Jan 21, 2019
53. Randy Bean and Thomas H. Davenport, How AI And Machine Learning Are Helping Drive The GE Digital Transformation, 2017/6/17
54.Barb Darrow, GE Saved Millions by Using This Data Startup′s Software, May 17, 2017
55.Michael E Porter, Porter five forces analysis, 1979
56.François Barbier, 5 trends for the future of manufacturing, 22 Jun 2017
57. Detlef Zühlke, Dominic Gorecky, The internet of things will disrupt manufacturing for ever, but are you ready?, 04 Jan 2017
58.James Manyika, Michael Chui, Peter Bisson, Jonathan Woetzel, Richard Dobbs, Jacques Bughin, and Dan Aharon, Unlocking the potential of the Internet of Things, McKinsey Global Institute June 2015
59.Daniel Alsen, Mark Patel, and Jason Shangkuan, The future of connectivity: Enabling the Internet of Things, November 2017
60.WASHINGTON, FCC BOOSTS SATELLITE BROADBAND CONNECTIVITY
AND COMPETITION IN THE UNITED STATES, November 15, 2018
61.Michael Wedd, What Is Cellular IoT?, August 23, 2018
62.BBC NEWS, Robot automation will ′take 800 million jobs by 2030′ - report, 29 November 2017
63. Ani Bhalekar, Karel Eloot, Unlock value with an Industrial IoT technology stack that scales, October 16, 2018
64.James Manyika, Susan Lund, Michael Chui, Jacques Bughin, Jonathan Woetzel, Parul Batra, Ryan Ko, and Saurabh Sanghvi, Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages, McKinsey Global Institute November 2017
65.Michael Chui , James Manyika, Mehdi Miremadi, The Countries Most (and Least) Likely to be Affected by Automation, 2017/5/13
66.Michael Chui,James Manyika,Mehdi Miremadi,Nicolaus Henke,Rita Chung,Pieter Nel, Sankalp Malhotra, Notes from the AI frontier: Applications and value of deep learning, September 2018
67.World economic forum Global Agenda Council on the Future of Software & Society, Deep Shift Technology Tipping Points and Societal Impact, September 2015
68. Carl Benedikt Frey and Michael Osborne, "The Future of Employment: How Susceptible Are jobs to Computerisation?", University of Oxford, 17 September 2013.
69.Jeff Desjardins, 10 skills you′ll need to survive the rise of automation, 02 Jul 2018 |