Abstract
The outputs or products of an economy can be divided into services products and goods products (due to manufacturing, construction, agriculture and mining). To date, the services and goods products have, for the most part, been separately mass produced. However, in contrast to the first and second industrial revolutions which respectively focused on the development and the mass production of goods, the next — or third — industrial revolution is focused on the integration of services and/or goods; it is beginning in this second decade of the 21st Century. The Third Industrial Revolution (TIR) is based on the confluence of three major technological enablers (i.e., big data analytics, adaptive services and digital manufacturing); they underpin the integration or mass customization of services and/or goods. As detailed in an earlier paper, we regard mass customization as the simultaneous and real-time management of supply and demand chains, based on a taxonomy that can be defined in terms of its underpinning component and management foci. The benefits of real-time mass customization cannot be over-stated as goods and services become indistinguishable and are co-produced — as “servgoods” — in real-time, resulting in an overwhelming economic advantage to the industrialized countries where the consuming customers are at the same time the co-producing producers.
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Allen, B., Bresnahan, J., Childers, L., Foster, I., Kandaswamy, G., Kettimuthu, R., Kordas, J., Link, M., Martin, S., Pickett, K. & Tuecke, S. (2012). Software as a service for data scientists. Communications of the ACM, 556(2): 81–88
Anand, K.S., Pac, M.F. & Veeraraghavan, S. (2011). Quality-speed conundrum: trade-offs in customer-intensive services. Management Science, 576(1): 40–56
Barbot, S., Lapusta, N. & Avouac, J.-P. (2012). Under the hood of the earthquake machine: toward predictive modeling of the seismic cycle. Science, 336: 707–710
Carr, N. (2010). The Shallows: What the Internet Is Doing to Our Brains. Norton, New York, NY
Davenport, T.H. & Harris, J.G. (2007). Competing on Analytics: The New Science of Winning. Harvard Business School Press, Cambridge, MA
Davis, S.M. (1987). Future Perfect. Addison-Wesley Publishing, MA
Futardo, P. (2009). A survey of parallel and distributed data warehouses. International Journal of Data Warehousing and Mining, 56(2): 57–77
Hattori, H., Nakajima, Y. & Ishida, T. (2011). Learning from humans: agent modeling with individual human behaviors. IEEE Transactions on Systems, Man and Cybernetics — Part A, 416(1): 1–9
Haug, A., Ladeby, K. & Kasper, E. (2009). From engineer-to-order to mass customization. Management Research News, 326(7): 633–644
Hodges, A. (2012). Beyond Turing’s machines. Science, 336: 163–164
Jacobs, A. (2009). The pathologies of big data. Communications of the ACM, 526(8): 36–44
Kaplan, E.H., Craft, D.L. & Wein, L.M. (2002). Emergency response to a smallpox attack: the case for mass vaccination. In: Proceedings of the National Academy of Sciences, 996(16): 10935–10940
Krishnamurthy, A., Suri, R. & Vernon, M. (2000). A new approach for analyzing queuing models of material control strategies in manufacturing systems. In: Proceedings of the 4th International Workshop on Queuing Networks with Finite Capacity (QNETs2000), West Yorkshire, U.K., July 2000
Kumar, A. (2007). From mass customization to mass personalization: a strategic transformation. International Journal of Flexible Manufacturing Systems, 19: 533–547
Lampel, J. & Mintzberg, H. (1996). Customizing customization. Sloan Management Review, 386(1): 21–30
Lavalle, S., Lesser, E., Shockley, R., Hopkins, M.S. & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT Sloan Management Review, 526(2): 21–31
Luhn, H. P. (1958). A business intelligence system. IBM Journal, 26(4): 314–350
Manyika, J., Chui, M., Bughin, J., Brown, B., Dobbs, R., Roxbury, C. & Byers, A. H. (2011). Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute, New York, NY
Matzler, K., Waiguny, M. & Fuller, J. (2007). Spoiled for choice: consumer confusion in Internet-based mass customization. Innovative Marketing, 36(3): 7–18
Mlodinow, L. (2012). Subliminal: How Your Unconscious Mind Rules Your Behavior. Pantheon Books, New York, NY
Naylor, J.B., Naim, M.M. & Berry, D. (1999). Leagility: integrating the lean and agile manufacturing paradigms in the total supply chain. International Journal of Production Economics, 626(1–2): 107–118
Olhager, J. (2003). Strategic positioning of the order penetration point. International Journal of Production Economics, 856(3): 319–329
Pine, B.J. & Gilmore. H. (1997). The four faces of mass customization. Harvard Business Review, 756(1): 91–101
Rifkin, J. (2011). The Third Industrial Revolution: How Lateral Power Is Transforming Energy, the Economy, and the World. Palgrave Macmillan, New York, NY
Ross, A. (1996). Mass customization-selling uniqueness. Manufacturing Engineer, 756(6): 260–263
Schadt, E.E., Linderman, M.D., Sorenson, J., Lee, L. & Nolan, G.P. (2010). Computational solutions to large-scale data management and analysis. Nature Reviews, 11: 647–657
Segall, P. (2012). Understanding earthquakes. Science, 336: 676–710
Simchi-Levi, D., Kaminsky, P. & Simchi-Levi, E. (2003). Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies. McGraw Hill-Irwin, New York, NY
Taleb, N.N. (2010). The Black Swan: Second Edition. Random House, Inc., New York, NY
Tien, J.M. (2000). Individual-centered education: an any one, any time, any where approach to engineering education. IEEE Transactions on Systems, Man, and Cybernetics Part C: Special Issue on Systems Engineering Education, 306(2): 1–6
Tien, J.M. (2003). Toward a decision informatics paradigm: a real-time information based approach to decision making. IEEE Transactions on Systems, Man and Cybernetics, Part C: Special Issue, 33(1): 102–113
Tien, J.M. (2008). On integration and adaptation in complex service systems. Journal of Systems Science and Systems Engineering, 176(2): 1–31
Tien, J.M. (2011). Manufacturing and services: from mass production to mass customization. Journal of Systems Science and Systems Engineering, 206(2): 129–154
Tien, J.M. & Berg, D. (1995). Systems engineering in the growing service economy. IEEE Transactions on Systems, Man, and Cybernetics, 256(5): 321–326
Tien, J.M. & Berg, D. (2003). A case for service systems engineering. International Journal of Systems Engineering, 126(1): 13–39
Tien, J.M. & Berg, D. (2006). On services research and education. Journal of Systems Science and Systems Engineering, 156(3): 257–283
Tien, J.M. & Cahn, M.F. (1981). An Evaluation of the Wilmington Management of Demand Program. National Institute of Justice, Washington, DC
Tien, J.M., Krishnamurthy, A. & Yasar, A. (2004). Towards real time management of supply and demand chains. Journal of Systems Science and Systems Engineering, 136(3): 257–278
Turing, A.M. (1950). Computing machinery and intelligence. Mind, 59: 433–460
Zikopoulos, P.C., Eaton, C., DeRoos, D., Deutsch, T. & Lapis, G. (2012). Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. The McGraw-Hill Companies, New York, NY
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James M. Tien received the BEE from Rensselaer Polytechnic Institute (RPI) and the SM, EE and PhD from the Massachusetts Institute of Technology. He has held leadership positions at Bell Telephone Laboratories, at the Rand Corporation, and at Structured Decisions Corporation. He joined the Department of Electrical, Computer and Systems Engineering at RPI in 1977, became Acting Chair of the department, joined a unique interdisciplinary Department of Decision Sciences and Engineering Systems as its founding Chair, and twice served as the Acting Dean of Engineering. In 2007, he was recruited by the University of Miami to be a Distinguished Professor and Dean of its College of Engineering. He has been awarded the IEEE Joseph G. Wohl Outstanding Career Award, the IEEE Major Educational Innovation Award, the IEEE Norbert Wiener Award, and the IBM Faculty Award. He is also an elected member of the prestigious U. S. National Academy of Engineering.
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Tien, J.M. The next industrial revolution: Integrated services and goods. J. Syst. Sci. Syst. Eng. 21, 257–296 (2012). https://doi.org/10.1007/s11518-012-5194-1
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DOI: https://doi.org/10.1007/s11518-012-5194-1