Abstract
Methods for evaluating the strength of design dependencies in a product architecture have been widely studied in the literature; however, evaluating the effects of direct and indirect interactions between components/modules remains a challenge. In fact, indirect connections between components/modules are often overlooked in many cases when evaluating design dependencies. Having a more consistent way of defining a product architecture that considers both its direct and indirect connections is important, especially when analyzing redesign complexity and change propagation. In this study, we propose a systematic method to evaluate direct and indirect design dependencies between components in product architectures. Interfaces are classified into six different types based on a thorough review of the literature, and a method for evaluating design dependencies is introduced to estimate the relative importance of interfaces directly from a set of comparable products. Using an electrical circuit analogy, the proposed method can quantify both direct and indirect design dependencies between components within a product architecture. We compare design dependency results for different wireless computer mice to validate the effectiveness of the proposed method. The results show that using the proposed design dependency measure including direct and indirect effects provides more reliable design dependency results.
Similar content being viewed by others
Notes
For more information, visit: http://www.microsoft.com/accessories/en-us/mice.
References
Ahmad N, Wynn DC, Clarkson PJ (2013) Change impact on a product and its redesign process: a tool for knowledge capture and reuse. Res Eng Des 24(3):219–244
Ariyo O, Eckert CM, Clarkson PJ (2010) Towards a decentralised approach to modelling connectivity in complex products. ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME, Montreal, Quebec, Canada, pp 35–45
Bettig B, Gershenson JK (2006) Module interface representation. ASME Design Engineering Technical Conferences. ASME, Philadelphia, PA
Bozzo E, Franceschet M (2013) Resistance distance, closeness, and betweenness. Soc Netw 35(3):460–469
Browning TR (2001) Applying the design structure matrix to system decomposition and integration problems: a review and new directions. IEEE Trans Eng Manage 48(3):292–306
Clarkson PJ, Simons C, Eckert C (2004) Predicting change propagation in complex design. J Mech Des 126(5):788–797
DeCarlo RA, Lin P-M (1995) Linear circuit analysis: time domain, phasor, and Laplace transform approaches. Prentice-Hall, Inc
Dobberfuhl A, Lange MW (2009) Interfaces per module: is there an ideal number? ASME International Design Engineering Technical Conferences- Computers and Information in Engineering Design Conference. ASME, San Diego, CA
Eckert C, Clarkson PJ, Zanker W (2004) Change and customisation in complex engineering domains. Res Eng Des 15(1):1–21
Eppinger SD, Browning TR (2012) Design structure matrix methods and applications. MIT Press
Ericsson A, Erixon G (1999) Controlling design variants: modular product platforms. ASME, New York
Giffin M, de Weck O, Bounova G, Keller R, Eckert C, Clarkson PJ (2009) Change propagation analysis in complex technical systems. J Mech Des 131(8):081001
Hamraz B, Clarkson PJ (2015) Industrial evaluation of FBS Linkage—a method to support engineering change management. J Eng Des 26(1–3):24–47
Hamraz B, Caldwell NHM, Clarkson PJ (2012) A multidomain engineering change propagation model to support uncertainty reduction and risk management in design. J Mech Des 134(10):100905
Hamraz B, Hisarciklilar O, Rahmani K, Wynn DC, Thomson V, Clarkson PJ (2013) Change prediction using interface data. Concurr Eng 21(2):141–154
Hamraz B, Caldwell NHM, Ridgman TW, Clarkson PJ (2015) FBS Linkage ontology and technique to support engineering change management. Res Eng Des 26(1):3–35
Hirtz J, Stone R, McAdams D, Szykman S, Wood K (2002) A functional basis for engineering design: reconciling and evolving previous efforts. Res Eng Des 13(2):65–82
Holley V, Jankovic M, Yannou B (2014) Physical interface ontology for management of conflicts and risks in complex systems. Concurr Eng 22(2):148–161
Hölttä KM, Otto KN (2005) Incorporating design effort complexity measures in product architectural design and assessment. Des Stud 26(5):463–485
Hundal M (1990) A systematic method for developing function structures, solutions and concept variants. Mech Mach Theory 25(3):243–256
Jankovic M, Holley V, Yannou B (2012) Multiple-domain design scorecards: a method for architecture generation and evaluation through interface characterisation. J Eng Des 23(10–11):746–766
Jarratt T, Eckert C, Clarkson PJ (2004) Development of a product model to support engineering change management. In: Theory and methods of competitive engineering (TMCE) 2004. Lausanne, Switzerland, pp 331–344
Jarratt TAW, Eckert CM, Caldwell NHM, Clarkson PJ (2011) Engineering change: an overview and perspective on the literature. Res Eng Des 22(2):103–124
Keller R, Eger T, Eckert CM, Clarkson PJ (2005) Visualising change propagation. In: The 15th International Conference on Engineering Design (ICED 05), Melbourne, Australia
Klein DJ, Randić M (1993) Resistance distance. J Math Chem 12(1):81–95
Ko Y-T (2013) Optimizing product architecture for complex design. Concurr Eng 21(2):87–102
Koh ECY, Caldwell NHM, Clarkson PJ (2012) A method to assess the effects of engineering change propagation. Res Eng Des 23(4):329–351
Lockledge JC, Salustri FA (1999) Defining the engine design process. J Eng Des 10(2):109–124
Martin MV, Ishii K (2002) Design for variety: developing standardized and modularized product platform architectures. Res Eng Des 13(4):213–235
MathWorks (2015) Matlab, R2015a ed, MathWorks. Inc, Natick
Min G, Suh ES, Hölttä-Otto K (2016) Impact of technology infusion on system architecture complexity. J Eng Des 27(9):613–635
Moullec M-L, Bouissou M, Jankovic M, Bocquet J-C, Réquillard F, Maas O, Forgeot O (2013) Toward system architecture generation and performances assessment under uncertainty using Bayesian networks. J Mech Des 135(4):041002
Pahl G, Beitz W, Feldhusen J, Grote K-H (2007) Engineering design: a systematic approach. Springer
Parraguez P (2015) A networked perspective on the engineering design process: at the intersection of process and organisation architectures. Ph.D. Dissertation, Technical University of Denmark
Pasqual MC, de Weck OL (2012) Multilayer network model for analysis and management of change propagation. Res Eng Des 23(4):305–328
Pimmler TU, Eppinger SD (1994) Integration analysis of product decompositions. In: ASME 6th International Conference on Design Theory and Methodology. ASME, Minneapolis, MN
Sanchez R (1994) Towards a science of strategic product design: system design, component modularity, and product leveraging strategies. In: 2nd International Product Development Conference on New Approaches to Development and Engineering, Brussels, Belgium
Sosa ME, Eppinger SD, Rowles CM (2003) Identifying modular and integrative systems and their impact on design team interactions. J Mech Des 125(2):240–252
Sosa ME, Eppinger SD, Rowles CM (2007) A network approach to define modularity of components in complex products. J Mech Des 129(11):1118–1129
Stephenson K, Zelen M (1989) Rethinking centrality: methods and examples. Soc Netw 11(1):1–37
Steward DV (1981) Systems analysis and management: structure, strategy and design. Petrocelli Books, Inc., New York
Suh ES, de Weck OL, Chang D (2007) Flexible product platforms: framework and case study. Res Eng Des 18(2):67–89
Tilstra AH, Seepersad CC, Wood KL (2009) Analysis of product flexibility for future evolution based on design guidelines and a high-definition design structure matrix. In: ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, pp 951–964
Tilstra AH, Seepersad CC, Wood KL (2012) A high-definition design structure matrix (HDDSM) for the quantitative assessment of product architecture. J Eng Des 23(10–11):767–789
Ye Y, Jankovic M, Kremer GE (2015) Understanding the impact of subjective uncertainty on architecture and supplier identification in early complex systems design. ASCE-ASME J Risk Uncert Eng Syst Part B Mech Eng 1(3):031005-031005-11
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Jung, S., Asikoglu, O. & Simpson, T.W. A method to evaluate direct and indirect design dependencies between components in a product architecture. Res Eng Design 29, 507–530 (2018). https://doi.org/10.1007/s00163-018-0291-x
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00163-018-0291-x