Observations of designer behaviors in complex system design

The design of large-scale engineering systems requires design teams to balance a complex set of considerations. Formal approaches for optimizing complex system design assume that designers behave in a rational, consistent manner. However, observation of design practice suggests that there are limits to the rationality of designer behavior. This paper explores the gap between complex system designs generated via formal design process and those generated by teams of human designers. Results show that human design teams employed a range of strategies but arrived at suboptimal designs. Analysis of their design histories suggest three possible causes for the human design teams’ performance: poorly executed global searches rather than well executed local searches, a focus on optimizing single design parameters, and sequential implementations rather than concurrent optimization strategies.

[1]  B. Gardini,et al.  The ESA / ESTEC Concurrent Design Facility , 2000 .

[2]  Maria C. Yang,et al.  An Examination of Team Effectiveness in Distributed and Co-located Engineering Teams* , 2008 .

[3]  Jamie C. Gorman,et al.  Assessment of Team Cognition , 2022 .

[4]  J. Gillon,et al.  Group dynamics , 1996 .

[5]  Nigel Cross,et al.  Solution driven versus problem driven design: strategies and outcomes , 2006 .

[6]  G. Karpati,et al.  The integrated mission design center (imdc) at nasa goddard space flight center , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).

[7]  Kemper Lewis An Algorithm for Integrated Subsystem Embodiment and System Synthesis , 2013 .

[8]  Kemper Lewis,et al.  Planning on Mistakes: An Approach to Incorporate Error Checking Into the Design Process , 2008, DAC 2008.

[9]  Kemper Lewis,et al.  Using Bounded Rationality to Improve Decentralized Design , 2008 .

[10]  Bonnie A. Nardi and Steve Whittaker The Place of Face-to-Face Communication in Distributed Work , 2002 .

[11]  Kemper Lewis,et al.  Modeling Interactions in Multidisciplinary Design: A Game Theoretic Approach , 1997 .

[12]  Gyung-Jin Park,et al.  Comparison of MDO methods with mathematical examples , 2008 .

[13]  Kemper Lewis,et al.  Equilibrium stability in decentralized design systems , 2005, Int. J. Syst. Sci..

[14]  H. Simon,et al.  Models of Bounded Rationality: Empirically Grounded Economic Reason , 1997 .

[15]  Nicholas P. Vitalari,et al.  Differences Between Novice and Expert Systems Analysts: What Do We Know and What Do We Do? , 1998, J. Manag. Inf. Syst..

[16]  Yan Jin,et al.  A study of argumentation-based negotiation in collaborative design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[17]  D. P. Thunnissen,et al.  Icemaker/sup TM/: an excel-based environment for collaborative design , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).

[18]  Wei Chen,et al.  Decision Making in Engineering Design , 2006 .

[19]  Keith Warfield What is Team X , 2012 .

[20]  George A. Hazelrigg,et al.  A Framework for Decision-Based Engineering Design , 1998 .

[21]  James R. Wertz,et al.  Space Mission Analysis and Design , 1992 .

[22]  Jeremy J. Michalek,et al.  Should Designers Worry About Market Systems , 2009 .

[23]  Rekha Bhowmik Building design optimization using sequential linear programming , 2007 .

[24]  Alex H. B. Duffy,et al.  Distributed design coordination , 2002 .

[25]  Jeffrey W. Herrmann,et al.  Progressive Design Processes and Bounded Rational Designers , 2010 .

[26]  Jaroslaw Sobieszczanski-Sobieski,et al.  Multidisciplinary aerospace design optimization - Survey of recent developments , 1996 .

[27]  Gloria Mark,et al.  Extreme collaboration , 2002, CACM.

[28]  Timothy W. Simpson,et al.  Metamodels for Computer-based Engineering Design: Survey and recommendations , 2001, Engineering with Computers.

[29]  A. Kendon Conducting Interaction: Patterns of Behavior in Focused Encounters , 1990 .

[30]  Nigel Cross,et al.  Expertise in Design: an overview , 2004 .

[31]  Kemper Lewis,et al.  A Comparison of Information Passing Strategies in System Level Modeling , 2010 .

[32]  T. L. Vincent,et al.  Game Theory as a Design Tool , 1983 .

[33]  Pamela J. Hinds,et al.  The Place of Face-to-Face Communication in Distributed Work , 2002 .

[34]  Kemper Lewis,et al.  A study of convergence in decentralized design processes , 2005 .

[35]  Robert J. Crutcher,et al.  The role of deliberate practice in the acquisition of expert performance. , 1993 .

[36]  Theodor Freiheit,et al.  Modified game theory approach to multiobjective optimization , 1988 .

[37]  J. C. Heideman,et al.  Sequential gradient-restoration algorithm for the minimization of constrained functions—Ordinary and conjugate gradient versions , 1969 .

[38]  R. Haftka,et al.  Multidisciplinary aerospace design optimization: survey of recent developments , 1997 .

[39]  J. B. Harvey The Abilene paradox: The management of agreement , 1974 .

[40]  Deborah G. Ancona,et al.  The Comparative Advantage of X-Teams , 2002 .

[41]  B. Danette Allen,et al.  Collaborative Mission Design at NASA Langley Research Center , 2005 .

[42]  Farrokh Mistree,et al.  Collaborative multidisciplinary decision making using game theory and design capability indices , 2005 .

[43]  I. Gilboa,et al.  Objective and Subjective Rationality in a Multiple Prior Model , 2010 .

[44]  Paul Collopy,et al.  ECONOMIC-BASED DISTRIBUTED OPTIMAL DESIGN , 2001 .

[45]  J. Nash NON-COOPERATIVE GAMES , 1951, Classics in Game Theory.

[46]  Elliot Soloway,et al.  A model of software design , 1986, Int. J. Intell. Syst..

[47]  G Gigerenzer,et al.  Reasoning the fast and frugal way: models of bounded rationality. , 1996, Psychological review.

[48]  Eric van Damme,et al.  Non-Cooperative Games , 2000 .