A protocol for tracking the interconnection of design communication elements as a mixed temporal hypergraph network which evolves in real time is presented here. The protocol uses email and limited human reporting data to develop the time-stamped connections of the network. At any time, this network, or a filtered subset, may be subjected to an analysis of graph and network complexity properties. The response of these properties may then be correlated to either events, such as design stages, or performance metrics, such as designer effort. This approach is applied to emails generated in the course of an undergraduate mechanical engineering senior design project demonstrating an ability to identify member roles, work schedules, and project phase changes from the network properties.
AhnJCrawfordR (1994) Complexity analysis of computational engineering design. In: ASME international design engineering technical conferences and computers and information in engineering conference, Minneapolis, MN, 11–14 September, pp. 205–220. New York: ASME.
2.
BaderGDHogueCWV (2003) An automated method for finding molecular complexes in large interaction network. BMC Bioinformatics4: 2.
3.
BalazsMBrownD (2002) Design simplification by analogical reasoning. In: UCuginiMWozny (eds) From Knowledge Intensive CAD to Knowledge Intensive Engineering. Norwell, MA: Kluwer Academic Publishers, pp. 29–44.
4.
BarclayIDannZ (2000) New-product-development performance evaluation: a product-complexity-based methodology. IEEE Proceedings in Scientific Measurement Technology147(3): 41–55.
5.
BashirHAThomsonV (2001) An analogy-based model for estimating design effort. Design Studies22: 157–167.
6.
BashirHAThomsonV (2004) Estimating design effort for GE hydro project. Computers & Industrial Engineering46: 195–204.
7.
BonchiFCastilloCGionisA. (2011) Social network analysis and mining for business applications. ACM Transactions on Intelligent Systems and Technology (TIST)2(3): 22.
8.
BoothroydGDewhurstPKnightWA (2011) Product Design for Manufacture and Assembly, 3rd ed.New York: CRC Press.
9.
BrahaDMaimonO (1998a) A Mathematical Theory of Design: Foundations, Algorithms, and Applications. Dordrecht: Kluwer Academic Publishers.
10.
BrahaDMaimonO (1998b) The measurement of a design structural and functional complexity. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans28(4): 527–535.
11.
DeshmukhATalavageJBarashM (1998) Complexity in manufacturing systems: part 1: analysis of static complexity. IIE Transactions30: 645.
12.
DuDKoK (2000) Theory of Computational Complexity. New York: John Wiley and Sons.
13.
El-HaikBYangK (1999) The components of complexity in engineering design. IIE Transactions31: 925–934.
14.
FitzhornP (1994) Engineering design is a computable function. Artificial Intelligence for Engineering Design Analysis and Manufacturing8: 35–44.
15.
FreemanL (1977) A set of measures of centrality based on betweenness. Social Networks40: 35–41.
16.
GoldbergAVTarjanRE (1986) A new approach to the maximum flow problem. In: Annual ACM symposium on theory of computing, Berkeley, CA, 28–30 May, pp. 136–146. New York: ACM.
17.
HamadeR (2009) Profiling the desirable CAD trainee: technical background, personality attributes, and learning preferences. Journal of Mechanical Design131(12): 121–130.
18.
HarrisonWMagelK (1981) A complexity measure based on nesting level. SIGPLAN Notices16: 63–74.
19.
HazelriggGA (1996) Systems Engineering: An Approach to Information-Based Design. Upper Saddle River, NJ: Prentice Hall.
20.
HolttaKOttoK (2005) Incorporating design effort complexity measures in product architectural design and assessment. Design Studies26(5): 463–485.
21.
JoshiSSummersJD (2015) Requirements evolution: understanding the type of changes in requirement documents of novice designers. In: AChakrabarti (ed.) ICoRD’15–Research into Design across Boundaries (vol. 2). Bangalore, India: Springer, pp. 471–481.
22.
KoschutzkiDLehmannKAPeetersL. (2005) Centrality indices. In: UBrandesTErlebach (eds) Network Analysis: Methodological Foundations (Chapter 3). New York: Springer, pp. 16–61.
23.
McCarthyIPTsinopoulosCAllenP. (2006) New product development as a complex adaptive system of decisions. Journal of Product Innovation Management23(5): 437–456.
24.
MaierJRATroyTJohnstonPJ. (2010) Case study research using senior design projects: an example application. Journal of Mechanical Design132(11): 111011.
25.
MasalonisAJCallahamMBWankeCR (2003) Dynamic density and complexity metrics for realtime traffic flow management. In: Proceedings of the 5th USA/Europe air traffic management R & D seminar, Budapest, 23–27 June.
26.
MathiesonJLSummersJD (2010) Complexity metrics for directional node-link system representations: theory and applications. In: ASME international design engineering technical conferences and computers and information in engineering conference, Montreal, QC, Canada, 15–18 August, pp. 13–24. New York: ASME.
27.
MathiesonJLMillerMSummersJD (2011a) A protocol for connective complexity tracking in the engineering design process. In: Proceedings of International conference on engineering design 2011, Copenhagen, Denmark, 15–19 August. The Design Society.
28.
MathiesonJLShanthakumarASenC. (2011b) Complexity as a surrogate mapping between function models and market value (paper no. DETC2011–47481). In: Proceedings of ASME international design engineering technical conferences and computers and information in engineering conference, Washington, DC, 28–31 August. New York: ASME.
29.
MathiesonJLWallaceBASummersJD (2013a) Assembly time modelling through connective complexity metrics. International Journal of Computer Integrated Manufacturing (JOUR) (Taylor & Francis) 26(10): 955–967.
30.
MathiesonJLWallaceBASummersJD (2013b) Estimating assembly time with connective complexity metric based surrogate models. International Journal of Computer Integrated Manufacturing26: 955–967.
31.
MatthewsLJDeWanPRulaEY (2013) Methods for inferring health-related social networks among coworkers from online communication patterns. PLoS ONE8(2): e55234.
32.
MillerWSSummersJD (2012) Tool and information centric design process modeling: three case studies. In: ASilvaRSimoes (eds) Industrial Engineering: Concepts, Methodologies, Tools, and Applications. Hershey, PA: IGI Publishing. Available at: http://www.igi-global.com/chapter/tool-information-centric-design-process/69357/ (accessed 25 September 2012).
33.
MoriJTashiroHHaraokaK. (2009) Identifying informal communities and leaders for total quality management using network analysis of email. In: Proceedings of IEEE International conference on industrial engineering and engineering management, 2009 (IEEM 2009), Hong Kong, China, 8–11 December, pp. 1175–1179. New York: IEEE.
34.
NamouzEZSummersJD (2014) Comparison of graph generation methods for structural complexity based assembly time estimation. ASME Transactions Journal of Computing and Information Science in Engineering (American Society of Mechanical Engineers) 14(2): 21003.
35.
OstergaardKJSummersJD (2004) Resistance based modeling of collaborative design. Concurrent Engineering: Research and Applications (paper no. DAC—57076). Available at: http://cer.sagepub.com/content/15/1/21.short (accessed 24 September 2012).
36.
OstergaardKJSummersJD (2009) Development of a systematic classification and taxonomy of collaborative design activities. Journal of Engineering Design (Taylor & Francis) 20(1): 57–81.
PahlGBeitzWWallaceK. (2007) Engineering Design: A Systematic Approach, 3rd ed.London: Springer-Verlag London Ltd.
39.
PalmerGSummersJD (2011) Characisterization of leadership within undergraduate engineering design teams through case study analys (paper. no–204). In: Proceedings of international conference on engineering design 2011, Copenhagen, 15–19 August.
40.
PaperinGGreenDGSadedinS (2011) Dual-phase evolution in complex adaptive systems. Journal of the Royal Society Interface8(58): 609–629.
41.
PhukanAKalavaMPrabhuV (2005) Complexity metrics for manufacturing control architecture based on software and information flow. Computers & Industrial Engineering49: 1–20.
42.
PowersLMSummersJD (2009) Integrating graduate design coaches in undergraduate design project teams. International Journal of Mechanical Engineering Education (Manchester University Press) 37(1): 3–20.
43.
PramanickIAliH (1994) Analysis and experiments for a parallel solution to the all pairs shortest path problem. In: Proceedings of IEEE international symposium on circuits and systems, London, 30 May–2 June, New York, NY: IEEE.
44.
PrasadB (1996) Concurrent Engineering Fundamentals: Integrated Product and Process Organization. Upper Saddle River, NJ: Prentice Hall.
45.
SabidussiG (1966) The centrality index of a graph. Psychometrika31: 581–603.
46.
SadeghiSMascletaCNoelF (2012a) Gathering alternative solutions for new requirements in manufacturing company: collaborative process with data visualization and interaction support. In: Proceedings of 45th CIRP Conference on Manufacturing Systems 2012 CIRP Procedia, vol. 3, pp. 465–470.
47.
SadeghiSMascletCNoëlF (2012b) Visual and interactive tool for product development process enhancement: towards intuitive support of co-located project review. In: LRivestABourasBLouhichi (eds) Product Lifecycle Management: Towards Knowledge-Rich Enterprises. Berlin, Heidelberg: Springer, pp. 213–225. Available at: https://link-springer-com.web.bisu.edu.cn/10.1007/978-3-642-35758-9_19 (accessed 26 May 2016).
48.
SadeghiSNoëlFMascletC (2011) A procedure to ease usage of VR technology for enhancing product lifecycle management vision. In: Proceedings of 8th international conference on product lifecycle management (PLM 11), Eindhoven, 11–13 July.
49.
ShahJJRungerG (2011) Misuse of information-theoretic dispersion measures as design complexity metrics (paper no. DETC2011/DTM-48295). In: Proceedings of ASME international design engineering technical conferences and computers and information in engineering conference, Washington, DC, 28–31 August.
50.
SimonH (1998) The Sciences of the Artificial. Cambridge, MA: MIT Press.
51.
SosaMEEppingerSDRowlesCM (2007) Are your engineers talking to one another when they should?Harvard Business Review85(11): 133.
52.
SuhN (1999) A theory of complexity, periodicity, and the design axioms. Research in Engineering Design11: 116–131.
53.
SuhN (2001) Axiomatic Design: Advances and Applications. New York: Oxford University Press.
54.
SummersJDAmeriF (2008) An algorithm for assessing design complexity through a connectivity view. In: HorvthIRuskZ (eds) Proceedings of the TMCE 2008, Izmir, Turkey, 21–25 April. ISBN: 978-90-5155-044-3.
SummersJDMillerMGMathiesonJL. (2014) Manufacturing assembly time estimation using structural complexity metric trained artificial neural networks. Journal of Computing and Information Science in Engineering (American Society of Mechanical Engineers) 14(1): 11005. Available at: http://computingengineering.asmedigitalcollection.asme.org/article.aspx?articleid=1763547 (accessed 11 September 2016).
57.
VarmaDTrachterbergE (1990) On the estimation of logic complexity for design automation applications. In: International conference on computer design: VLSI in computers and processors, Cambridge, MA, 17–19 September.
58.
VeiszDNamouzEJoshiS. (2012) The impact of the disappearance of sketching: a case study. Artificial Intelligence in Engineering Design Analysis and Manufacturing26(3): 317–335.
59.
WattsDJStrogatzS (1998) Collective dynamics of “small-world” networks. Nature393(6): 440–442.
60.
WeberC (2005) What is complexity (paper no. DS35_485.49). In: Proceedings of 15th international conference on engineering design (The Design Society), Melbourne, VIC, Australia, 15–18 August.
61.
ZuseH (1991) Software Complexity: Measures and Methods. New York: Walter de Gruyter and Co.
