Abstract
The following section presents the proposed process for gathering DSM data. As in other DSM-based process planning methods, the product data is deriving the process plan. A key issue in the current work is the utilization of data changes throughout the design process. The detailing level is not pre-defined and is changing and adapting to the applicable product knowledge. Collecting the data throughout the design process requires a tool. An existing applicable tool could be a PLM product, where other product relation links (e.g., father-son) are managed. A specific tool for collecting the data may also apply but would be less effective. The process of collecting the DSM data as part of the overall DnPDP is fully described in Sect. 8.5. The following example reflects the initial knowledge at the conceptual design stage.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Similar values are used in other product development related tools such as Quality Function Deployment (QFD).
- 2.
The same system is used for the example in Sect. 12.2, with extended data.
- 3.
- 4.
See a detailed analysis of the function \( F(q,N) = (N-2^{q} ) \times (N-1)/(N^{q} -N) \) in Sect. 14.3, Annex C.
- 5.
It is generalization of P(A∪B) = P(A) + P(B) – P(A) × P(B), for independent events.
References
Browning TR, Eppinger SD (2002) Modeling impacts of process architecture on cost and schedule risk in product development. IEEE Trans Eng Manag 49(4):428–442
Browning TR, Fricke E, Negele H (2006) Key concepts in modeling product development processes. Sys Eng 9(2):104–128
Cho SH, Eppinger SD (2001) Product development process modeling using advanced simulation. ASME Conference on design theory and methodology (DECT 2001/DTM), Pittsburgh, PA, September
Danilovic M, Browning TR (2007) Managing complex product development projects with design structure matrices and domain mapping matrices. Int J Project Manag 25(3):300–314
DSM web site (2009) http://www.dsmweb.org. Accessed July 2010
Eckert CM, Keller R, Earl C, Clarkson PJ (2006) Supporting change processes in design: Complexity, prediction and reliability. Reliab Eng Saf Sys 91(12):1521–1534
Eppinger SD, Salminen V (2001) Patterns of product development interactions. International Conference on Engineering Design, ICED 01, Glasgow, Aug. 21–23
Huberman BA, Wilkinson DM (2005) Performance variability and project dynamics. Comput Math Organiz Theor 11:307–332
Karniel A, Belsky Y, Reich Y (2005) Decomposing the problem of constrained surface fitting in reverse engineering. Comput-Aided Des 37:399–417
Karniel A, Reich Y (2007a) Simulating design processes with self-iteration activities based on DSM planning. IEEE Proceedings of the international conference on systems engineering and modeling ICSEM’07 33–41, Haifa, March
Karniel A, Reich Y (2007b) Managing dynamic new product development processes. Proceedings of the 17th annual international symposium of the international council on system engineering INCOSE’07, San Diego, California, June
Karniel A, Reich Y (2011) Formalizing the implementation of DSM-based process planning for NPD. IEEE Tran on Sys Man & Cybernetics, Part A 41(3):476–491
Lester I (1996) Adaptive simulated annealing (ASA): lessons learned. J Control Cybern 25(1):35–54
Maurer M (2007) Structural Awareness in complex product design. Dissertation, Technischen Universität München, Germany
Reich Y, Fenves SJ (1992) Inductive learning of synthesis knowledge. Int J Expert Syst: Res App 5(4):275–297
Rogers JL, Bloebaum CL (1994) Ordering design tasks based on coupling strengths. AIAA, paper no. 94-4326
Sered Y, Reich Y (2006) Standardization and modularization driven by minimizing overall process effort. Comput Aided Des 38(5):405–416
Smith RP, Eppinger SD (1997a) Identifying controlling features of engineering design iteration. Manag Sci 43(3):276–293
Smith RP, Eppinger SD (1997b) A predictive model of sequential iteration in engineering design. Manag Sci 43(8):1104–1120
Yassine A (2007) Investigating product development process reliability and robustness using simulation. J Eng Des 18(6):545–561
Yassine A, Joglekar N, Braha D, Eppinger SD, Whitney D (2003) Information hiding in product development: The design churn effect. Res Eng Des 14(3):131–144
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer-Verlag London Limited
About this chapter
Cite this chapter
Karniel, A., Reich, Y. (2011). DSM Enhancements. In: Managing the Dynamics of New Product Development Processes. Springer, London. https://doi.org/10.1007/978-0-85729-570-5_4
Download citation
DOI: https://doi.org/10.1007/978-0-85729-570-5_4
Published:
Publisher Name: Springer, London
Print ISBN: 978-0-85729-569-9
Online ISBN: 978-0-85729-570-5
eBook Packages: EngineeringEngineering (R0)