Parallel and Sequential Testing of Design Alternatives

References

  • Abernathy W., Rosenbloom R. Parallel and sequential R&D strategies: Application of a simple model. IEEE Trans. Engrg. Management (1968) 15(1):2–10CrossrefGoogle Scholar
  • Alchian A. Uncertainty evolution and economic theory. J. Political Econom. (1950) 58(3):211–221CrossrefGoogle Scholar
  • Alexander C.Notes on the Synthesis of Form (1964) (Harvard University Press, Cambridge, MA) Google Scholar
  • Allen T.J. Studies of the problem-solving process in engineering design. IEEE Trans Engrg. Management (1966) EM-13(2):72–83CrossrefGoogle Scholar
  • Allen T.J.Managing the Flow of Technology (1977) (MIT Press, Cambridge, MA) Google Scholar
  • Baldwin C., Clark K.Design options and design evolution (1997a) (Harvard Business School, Boston, MA) . Working paper 97-038Google Scholar
  • Baldwin C., Clark K.The value of modularity: Splitting and substitution (1997b) (Harvard Business School, Cambridge, MA) . Working paper 97-039Google Scholar
  • Bertsekas D.P.Dynamic Programming and Optimal Control (1995) (Athena Scientific, Belmont, MA) Google Scholar
  • Bohn R.E.Learning by experimentation in manufacturing (1987) (Harvard Business School, Boston, MA) . Working paper No. 88-001Google Scholar
  • Bohn R.E. Noise and learning in semiconductor manufacturing. Management Sci. (1995) 41(1):31–42LinkGoogle Scholar
  • Clark K.B. The interaction of design hierarchies and market concepts in technological evolution. Res. Policy (1985) 14:235–251CrossrefGoogle Scholar
  • Clark K.B., Fujimoto T. Lead time in automobile development: Explaining the Japanese advantage. J. Tech. Engrg. Management (1989) 6:25–58CrossrefGoogle Scholar
  • Cusumano M., Selby R.Microsoft Secrets (1995) (The Free Press, New York) Google Scholar
  • Dahan E.Parallel and sequential prototyping in product development (1998) (Stanford University, Stanford, CA) . Unpublished Ph.D. dissertationGoogle Scholar
  • DeGroot M.H.Optimal Statistical Decisions (1970) (McGraw-Hill, New York) Google Scholar
  • Eisenhardt K.M., Tabrizi B.N. Accelerating adaptive processes: Product innovation in the global computer industry. Admin. Sci. Quart. (1995) 40(1):84–110CrossrefGoogle Scholar
  • Eppinger S.D., Whitney D.E., Smith R.P., Gebala D.A. A model-based method for organizing tasks in product development. Res. Engrg. Design (1994) 6(1):1–13CrossrefGoogle Scholar
  • Huberman B.A., Hogg T., Huberman B.A. The behavior of computational ecologies. The Ecology of Computation (1988) (North Holland-Elsevier)77–115Google Scholar
  • Iansiti M. How the incumbent can win: Managing technological transitions in the semiconductor industry. Management Sci. (2000) 41(2):169–185LinkGoogle Scholar
  • Kauffman S., Levin S. Towards a general theory of adaptive walks on rugged landscapes. J. Theoret. Biology (1987) 128:11–45CrossrefGoogle Scholar
  • Loch C.H., Terwiesch C. Communication and uncertainty in concurrent engineering. Management Sci. (1998) 44(8):1032–1048LinkGoogle Scholar
  • Marples D.L. The decisions of engineering design. IRE. Trans. Engrg. Management (1961) EM-8:55–71CrossrefGoogle Scholar
  • Montgomery D.Design and Analysis of Experiments (1991) (Wiley, New York) Google Scholar
  • Nelson R. Uncertainty learning, and the economics of parallel research and development efforts. Rev. Econom. Statist. (1961) 43:351–364CrossrefGoogle Scholar
  • Quinn M.Designing Efficient Algorithms for Parallel Computers (1987) (McGraw-Hill, New York) Google Scholar
  • Reinertsen D.Managing the Design Factory (1997) (The Free Press, New York) Google Scholar
  • Shannon C.E. A mathematical theory of communication. Bell Systems Tech. J. (1948) 27:379–423623656CrossrefGoogle Scholar
  • Simon H.A.The Sciences of the Artificial (1969) 2nd ed.(MIT Press, Cambridge, MA) . 1981Google Scholar
  • Smith R.P., Eppinger S.D. A predictive model of sequential iteration in engineering design. Management Sci. (1997) 43:1104–1120LinkGoogle Scholar
  • Sobek D.K., Ward A.C., Liker J.K. Toyota's principles of set-based concurrent engineering. Sloan Management Rev. (1999) 40(2):67–83Google Scholar
  • Steward D.V.Systems Analysis and Management: Structure Strategy, and Design (1981) (Petrocelli Books, New York) Google Scholar
  • Stone L.D.Theory of Optimal Search (1975) 118(Mathematics in Science and Engineering, Academic Press)Google Scholar
  • Suh N.P.The Principles of Design (1990) (Oxford University Press, Oxford U.K.) Google Scholar
  • Terwiesch C., Loch C.H. Measuring the effectiveness of overlapping development activities. Management Sci. (1999) 45(4):455–465LinkGoogle Scholar
  • Terwiesch C., Loch C.H., De Meyer A.Exchanging preliminary information in concurrent development processes (1999) . Working paper, Wharton/INSEADGoogle Scholar
  • Thomke S. Managing experimentation in the design of new products. Management Sci. (1998) 44:743–762LinkGoogle Scholar
  • Thomke S., Bell D. Optimal testing in product development. Management Sci. (2001) 47ForthcomingLinkGoogle Scholar
  • Thomke S., von Hippel E., Franke R. Modes of experimentation: An innovation process—and competitive—variable. Res. Policy (1998) 27:315–332CrossrefGoogle Scholar
  • Ulrich K. The role of product architecture in the manufacturing firm. Res. Policy (1995) 24:419–440CrossrefGoogle Scholar
  • Ulrich K., Eppinger S.Product Design and Development (2000) 2nd ed.(McGraw-Hill, New York) Google Scholar
  • Weitzman M.L. Optimal search for the best alternative. Econometrica (1979) 47:641–654CrossrefGoogle Scholar
  • Wheelwright S.C., Clark K.B.Revolutionizing Product Development (1992) (The Free Press, New York) Google Scholar
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