Abstract
The pi-calculus was reviewed in the current research as a formal foundation for modeling the Dynamic new-Product Design Process (DnPDP). While the dynamic modeling properties of the pi-calculus are appealing, its complex semantics interpretation was estimated as a high overhead, and the simpler Task net was utilized for process modeling.
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References
Asmussen S, Glynn PW (2007) Stochastic simulation algorithms and analysis. Springer, New York
Esser R (1998) Petri net tool. Adelaide university. http://www.cs.adelaide.edu.au/users/esser/forkjoin.html. Accessed July 2010
Gilks WR, Richardson S, Spiegelhalter DJ (1996) Markov chain Monte–Carlo in practice. Chapman and Hall/CRC, Boca Raton
Milner R (1999) Communicating and mobil systems: The π–calculus. Cambridge University Press, Cambridge
Sered Y, Reich Y (2006) Standardization and modularization driven by minimizing overall process effort. Compt.-Aided Design 38(5):405–416
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© 2011 Springer-Verlag London Limited
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Karniel, A., Reich, Y. (2011). Annexes. In: Managing the Dynamics of New Product Development Processes. Springer, London. https://doi.org/10.1007/978-0-85729-570-5_14
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DOI: https://doi.org/10.1007/978-0-85729-570-5_14
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