The next industrial revolution: Integrated services and goods

James M. Tien

Journal of Systems Science and Systems Engineering ›› 2012, Vol. 21 ›› Issue (3) : 257 -296.

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Journal of Systems Science and Systems Engineering ›› 2012, Vol. 21 ›› Issue (3) : 257 -296. DOI: 10.1007/s11518-012-5194-1
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The next industrial revolution: Integrated services and goods

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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.

Keywords

Big data / decision analytics / goods / adaptive services / digital manufacturing / value chain / supply chain / demand chain / mass production / mass customization / industrial revolution

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James M. Tien. The next industrial revolution: Integrated services and goods. Journal of Systems Science and Systems Engineering, 2012, 21(3): 257-296 DOI:10.1007/s11518-012-5194-1

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References

[1]

Allen B., Bresnahan J., Childers L., Foster I., Kandaswamy G., Kettimuthu R., Kordas J., Link M., Martin S., Pickett K., Tuecke S.. Software as a service for data scientists. Communications of the ACM, 2012, 556(2): 81-88.

[2]

Anand K.S., Pac M.F., Veeraraghavan S.. Quality-speed conundrum: trade-offs in customer-intensive services. Management Science, 2011, 576(1): 40-56.

[3]

Barbot S., Lapusta N., Avouac J.-P.. Under the hood of the earthquake machine: toward predictive modeling of the seismic cycle. Science, 2012, 336: 707-710.

[4]

Carr N.. The Shallows: What the Internet Is Doing to Our Brains, 2010, New York, NY: Norton

[5]

Davenport T.H., Harris J.G.. Competing on Analytics: The New Science of Winning, 2007, Cambridge, MA: Harvard Business School Press

[6]

Davis S.M.. Future Perfect, 1987, MA: Addison-Wesley Publishing

[7]

Futardo P.. A survey of parallel and distributed data warehouses. International Journal of Data Warehousing and Mining, 2009, 56(2): 57-77.

[8]

Hattori H., Nakajima Y., Ishida T.. Learning from humans: agent modeling with individual human behaviors. IEEE Transactions on Systems, Man and Cybernetics — Part A, 2011, 416(1): 1-9.

[9]

Haug A., Ladeby K., Kasper E.. From engineer-to-order to mass customization. Management Research News, 2009, 326(7): 633-644.

[10]

Hodges A.. Beyond Turing’s machines. Science, 2012, 336: 163-164.

[11]

Jacobs A.. The pathologies of big data. Communications of the ACM, 2009, 526(8): 36-44.

[12]

Kaplan E.H., Craft D.L., Wein L.M.. Emergency response to a smallpox attack: the case for mass vaccination. In: Proceedings of the National Academy of Sciences, 2002, 996(16): 10935-10940.

[13]

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

[14]

Kumar A.. From mass customization to mass personalization: a strategic transformation. International Journal of Flexible Manufacturing Systems, 2007, 19: 533-547.

[15]

Lampel J., Mintzberg H.. Customizing customization. Sloan Management Review, 1996, 386(1): 21-30.

[16]

Lavalle S., Lesser E., Shockley R., Hopkins M.S., Kruschwitz N.. Big data, analytics and the path from insights to value. MIT Sloan Management Review, 2011, 526(2): 21-31.

[17]

Luhn H. P.. A business intelligence system. IBM Journal, 1958, 26(4): 314-350.

[18]

Manyika J., Chui M., Bughin J., Brown B., Dobbs R., Roxbury C., Byers A. H.. Big Data: The Next Frontier for Innovation, Competition, and Productivity, 2011, New York, NY: McKinsey Global Institute

[19]

Matzler K., Waiguny M., Fuller J.. Spoiled for choice: consumer confusion in Internet-based mass customization. Innovative Marketing, 2007, 36(3): 7-18.

[20]

Mlodinow L.. Subliminal: How Your Unconscious Mind Rules Your Behavior, 2012, New York, NY: Pantheon Books

[21]

Naylor J.B., Naim M.M., Berry D.. Leagility: integrating the lean and agile manufacturing paradigms in the total supply chain. International Journal of Production Economics, 1999, 626(1–2): 107-118.

[22]

Olhager J.. Strategic positioning of the order penetration point. International Journal of Production Economics, 2003, 856(3): 319-329.

[23]

Pine B.J., Gilmore H.. The four faces of mass customization. Harvard Business Review, 1997, 756(1): 91-101.

[24]

Rifkin J.. The Third Industrial Revolution: How Lateral Power Is Transforming Energy, the Economy, and the World, 2011, New York, NY: Palgrave Macmillan

[25]

Ross A.. Mass customization-selling uniqueness. Manufacturing Engineer, 1996, 756(6): 260-263.

[26]

Schadt E.E., Linderman M.D., Sorenson J., Lee L., Nolan G.P.. Computational solutions to large-scale data management and analysis. Nature Reviews, 2010, 11: 647-657.

[27]

Segall P.. Understanding earthquakes. Science, 2012, 336: 676-710.

[28]

Simchi-Levi D., Kaminsky P., Simchi-Levi E.. Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies, 2003, New York, NY: McGraw Hill-Irwin

[29]

Taleb N.N.. The Black Swan: Second Edition, 2010, New York, NY: Random House, Inc.

[30]

Tien J.M.. 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, 2000, 306(2): 1-6.

[31]

Tien J.M.. 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, 2003, 33(1): 102-113.

[32]

Tien J.M.. On integration and adaptation in complex service systems. Journal of Systems Science and Systems Engineering, 2008, 176(2): 1-31.

[33]

Tien J.M.. Manufacturing and services: from mass production to mass customization. Journal of Systems Science and Systems Engineering, 2011, 206(2): 129-154.

[34]

Tien J.M., Berg D.. Systems engineering in the growing service economy. IEEE Transactions on Systems, Man, and Cybernetics, 1995, 256(5): 321-326.

[35]

Tien J.M., Berg D.. A case for service systems engineering. International Journal of Systems Engineering, 2003, 126(1): 13-39.

[36]

Tien J.M., Berg D.. On services research and education. Journal of Systems Science and Systems Engineering, 2006, 156(3): 257-283.

[37]

Tien J.M., Cahn M.F.. An Evaluation of the Wilmington Management of Demand Program, 1981, Washington, DC: National Institute of Justice

[38]

Tien J.M., Krishnamurthy A., Yasar A.. Towards real time management of supply and demand chains. Journal of Systems Science and Systems Engineering, 2004, 136(3): 257-278.

[39]

Turing A.M.. Computing machinery and intelligence. Mind, 1950, 59: 433-460.

[40]

Zikopoulos P.C., Eaton C., DeRoos D., Deutsch T., Lapis G.. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data, 2012, New York, NY: The McGraw-Hill Companies

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