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Abstract

Effectively implementing integrated design and manufacturing(IDM) has become a great challenge today as industries try to meet the ever-increasing market demands for low cost, high quality, and short lead-time. Traditionally, the integration between design and manufacturing decisions has been approached mainly as a technical problem of taskwork. However, because most IDM tasks are carried out by teams of engineers, the success of IDM also depends on the effectiveness of teamwork. In order to realize the full potential of IDM, both “taskwork” of individual engineers and “teamwork” of IDM teams must be addressed. This calls for a new socio-technical approach to understand how engineers can, and should, participate in joint decisions collaboratively in a highly dynamic team setting.

There are many different decision-making styles, ranging from a total dictatorship to completely democratic, where a group of stakeholders work together. In the past, studies in this field have been limited to the autocratic individual decisions due to the Arrow’s Possibility Theorem, which states that group decision-making is “inherently chaotic and can’t be consistent and rational.” Consequently, group decisions are often converted to multi-objective, multi-criteria optimization problems whose solutions are available from classical decision science. Such approaches take the collaborative and participative joint decision opportunities away from IDM teams, hence failing to reveal the true benefits and address the real challenges of integrated design and manufacturing. In this paper, we challenge this old myth of group decision-making and propose a new approach to support participative joint decisions in IDM teams. Rather than the traditional deterministic philosophy, our new socio-technical approach is based on a determinism paradigm. We carefully analyze the characteristics of IDM teams and the dynamic social interactions among team members. We present a set of alternative social science models and decision science techniques to support participative joint decisions as a collaborative negotiation process among IDM engineers. This paper opens a new possibility of collaborative engineering by using systemic approaches to support true participative teamwork in IDM teams, henceforth contributing to the ultimate goal of developing joint innovations and collective intelligence in integrated design and manufacturing.

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References

  1. K.J. Arrow, Social Choice and Individual Values, 1st ed.(1951), 2nd ed.(1963), New York, Wiley Publishers, Inc.

    Google Scholar 

  2. G.A. Hazelrigg, On irrationality in engineering design, ASME Journal of Mechanical Design 119, 1997, 194–196.

    Article  Google Scholar 

  3. R. Sriram, Distributed Integrated Collaborative Engineering Design, Sarven Publishers, 2002.

    Google Scholar 

  4. G.A. Hazelrigg, A framework for decision based design, ASME Journal of Mechanical Design 120(4), 1998, 653–658.

    Article  Google Scholar 

  5. R.B. Laughlin, Reinventing physics: The search for the real frontier, The Chronicle of Higher Education 51(23), 2005, p. B6. [Laughlin is a 1998 Nobel laureate in physics. This essay is adapted from A Different Universe: Reinventing Physics from the Bottom Down.]

    Google Scholar 

  6. J.S. Kelly, Arrow Impossibility Theorems, Academic Press, New York, 1978.

    MATH  Google Scholar 

  7. S.C-Y. Lu and J. Cai, STARS: A socio-technical framework for integrating design knowledge over the internet, IEEE Internet Computing 4(5), 2000, 54–62 [Special Issue].

    Article  MathSciNet  Google Scholar 

  8. S.C-Y. Lu, Engineering as collaborative negotiation: A new Foundation for collaborative engineering research, The ECN Working Group of the International Institution of Production Engineering Research(CIRP), http://wisdom.usc.edu/ecn, 2001.

  9. K.D. Knorr-Cetina, The Manufacture of Knowledge: An Essay on the Constructivist and Contextual Nature of Science, Pergamon Press, Oxford, 1981.

    Google Scholar 

  10. The economic theory of collective action is concerned with the provision of public goods(and other collective consumption) through the collaboration of two or more individuals, and the impact of externalities on group behavior. The foundational work in collective action was M. Olson, The Logic of Collective Action: Public Goods and the Theory of Groups, The Harvard Economic Studies 124, Harvard University Press, 1965 and 1971.

    Google Scholar 

  11. Neoclassical economic theory refers to a general approach to economics based on supply and demand which depends on individuals(or any economic agent) operating rationally, each seeking to maximize their individual utility or profit by making choices based on available information. The foundational work of neoclassical economic theory dates back to Adam Smith, The Wealth of Nations, Modern Library, New York, 1937.

    Google Scholar 

  12. S. Todd, Collective Action: Theory and Application, University of Michigan Press, 1992

    Google Scholar 

  13. C.R. McConnell and S.L. Brue, Economics, 15th ed., McGraw-Hill Company, New York, 2001.

    Google Scholar 

  14. D.M. Wegner, Transactive memory: A contemporary analysis of group mind, in Theories of Group Behavior, Brian Mullen and George R. Goethals(eds.), Springer-Verlag, New York, 1987, pp. 185–206.

    Google Scholar 

  15. L.L. Thompson, Making the Team — A Guide for Manger, 2nd ed., Pearson Education Inc., A Prentice Hall company.

    Google Scholar 

  16. M. Olson, R. Zeckhauser, An economic theory of alliances, Reviews of Economics and Statistics XVLIII, 1966, 266–279.

    Article  Google Scholar 

  17. M. Olson, R. Zeckhauser, Collective goods, comparative advantages, and alliance efficiency, in Issues of Defense Economics, R. McKean(ed.), New York Bureau of Economic Research, 1967, pp. 25–48.

    Google Scholar 

  18. H.A. Simon, Administrative Behavior: A Study of Decision Making Process in Administrative Organizations, 4th ed., The Free Press, New York, 1997.

    Google Scholar 

  19. H.A. Simon, Models of Bounded Rationality: Empirically Grounded Economic Reasoning(Vol. 3), The MIT Press, Cambridge, MA, 1997.

    Google Scholar 

  20. J.G. March and H.A. Simon, Organization, 2nd ed., Blackwell Publishers, 1993.

    Google Scholar 

  21. H.A. Simon, The Science of the Artificial, 3rd ed., The MIT Press, Cambridge, MA, 1996.

    Google Scholar 

  22. R.M. Cyert and J.G. March, A Behavioral Theory of the Firm, 2nd ed., Blackwell Publishers, 1992.

    Google Scholar 

  23. J. Von Neumann and O. Morgenstern, Theory of Games and Economic Behavior, Princeton University Press, 1944.

    Google Scholar 

  24. J. Mathieu, G. Goodwin, T. Heffner, E. Salas, and J. Cannon-Bowers, The influence of shared mental models on team process and performance, Journal of Applied Psychology 85(2), 2000, 273–283.

    Article  Google Scholar 

  25. S. Plous, The Psychology of Judgment and Decision Making, McGraw-Hill Series in Social Psychology, McGraw-Hill Inc., New York, 1993.

    Google Scholar 

  26. P.E. Tetlock, Accountability and complexity of thought, Journal of Personality and Social Psychology 45, 1983, 74–83.

    Article  Google Scholar 

  27. D. Liang, R. Moreland, and L. Argote, Group versus individual training and group performance: The mediating role of transactive memory, Personality and Social Psychology Bulletin 21(4), 1995, 384–393.

    Article  Google Scholar 

  28. T.J. Pinch and W.E. Bijker, The social construction of facts and artifacts: How the sociology of science and the sociology of technology might benefit each other, inNew Directions in Sociology and History of Technology, 1984, pp. 17–55.

    Google Scholar 

  29. J.R. Searle, The Construction of Social Reality, The Free Press, New York, 1995.

    Google Scholar 

  30. A. Larsson, Socio-technical aspects of distributed collaborative engineering, Ph.D. Thesis, Department of Applied Physics and Mechanical Engineering, Lulea University of Technology, Sweden, 2002.

    Google Scholar 

  31. H.K. Klein and D.L. Kleinman, The social construction of technology: Structural considerations, Science, Technology, and Human Values 27(1), 2002, 28–52.

    Google Scholar 

  32. J-F. Boujut and H. Tiger, A socio-technical research method for analyzing and instrumenting the design activity, The Journal of Design Research 2, 2002.

    Google Scholar 

  33. W.E. Bijker, P. Hughes, and T.J. Pinch(eds.), The Social Construction of Technological Systems, The MIT Press, Cambridge, MA, 1987.

    Google Scholar 

  34. S.C-Y. Lu, J. Cai, W. Burkett, and F. Udwadia, A methodology for collaborative design process and conflict analysis, The Annals of the CIRP 49(1), 2000, 69–73.

    Article  Google Scholar 

  35. M. Weber, C. Wittich and G. Roth(eds.), Economy and Society: An Outline of Interpretive Sociology, University of California Press, 1989.

    Google Scholar 

  36. D. Black, The Theory of Committees and Elections, Cambridge University Press, Cambridge, 1958.

    MATH  Google Scholar 

  37. K.J. Arrow and H. Rayuaud, Social Choice and Multicriterion Decision Making, MIT Press, Cambridge, MA, 1986.

    MATH  Google Scholar 

  38. K.J. Arrow, Rational choice functions and orderings, Economica, New Series XXVI(102), May 1959.

    Google Scholar 

  39. A. Downs, An Economic Theory of Democracy, Harper and Row Publishers, New York, 1957.

    Google Scholar 

  40. P.E. Johnson, Social choice: Theory and research, in Quantitative Applications in the Social Sciences, Sage University Press, Thousand Oaks, 1998.

    Google Scholar 

  41. R.L. Keeney, A group preference axiomatization with cardinal utility, Management Science 23, 1976, 140–145.

    Article  MATH  MathSciNet  Google Scholar 

  42. R.L. Keeney and H. Raiffa, Decisions with Multiple Objectives Preference and Value Tradeoffs, Cambridge University Press, Cambridge, 1993.

    Google Scholar 

  43. J.C. Harsanyi, Cardinal welfare, individualistic ethics, and interpersonal comparisons of utility, Journal of Political Economy 63, 1955, 309–321.

    Article  Google Scholar 

  44. D. Green and I. Shapiro, Pathologies of Rational Choice Theory: A Critique of Applications in Social Sciences, Yale University Press, 1996.

    Google Scholar 

  45. P.C. Fishburn, The Theory of Social Choice, Princeton University Press, Princeton, NJ, 1973.

    MATH  Google Scholar 

  46. A.K. Sen, Collective Choice and Social Welfare, Holden-Day Publishers, San Francisco, 1970.

    MATH  Google Scholar 

  47. H. Raiffa with J. Richardson and D. Metcalfe, Negotiation Analysis—The Science and Art of Collaborative Decision Making, Harvard University Press, Cambridge, MA, 2002.

    Google Scholar 

  48. This statement was quoted directly from the description of Collaborative Design as a Key Issues identified in the Program Description section of the NSF Engineering Design Program. http://www.nsf.gov/funding/pgm_summ.jsp?pims_ID=13340&org=DMI&more=Y.

  49. J. von Neumann and O. Morgenstern, Theory of Games and Economic Behavior, 2nd ed., Princeton University Press, Princeton, NJ, 1947.

    Google Scholar 

  50. S.C-Y. Lu, Beyond concurrent engineering: A new foundation for collaborative engineering, International Journal of Advanced Manufacturing Systems 9(2), 27–40.

    Google Scholar 

  51. R.J. Lewicki, B. Barry, D.M. Saunders, and J.W. Minton, Negotiation, 4th ed., by McGraw-Hill Higher Education Press, 2003.

    Google Scholar 

  52. J. Cai, S.C-Y. Lu, F. Grobler, M. Case, and N. Jing, Modeling and managing collaborative processes over the internet, Journal of Business Process Management 11(3), 2005, 255– 274.

    Article  Google Scholar 

  53. S.C-Y. Lu, A scientific foundation of collaborative engineering, Annals of the CIRP 52(2), 2007.

    Google Scholar 

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Lu, S.CY., Conger, A. (2007). Supporting Participative Joint Decisions in Integrated Design and Manufacturing Teams. In: Tichkiewitch, S., Tollenaere, M., Ray, P. (eds) Advances in Integrated Design and Manufacturing in Mechanical Engineering II. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6761-7_1

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  • DOI: https://doi.org/10.1007/978-1-4020-6761-7_1

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