On optimal modularity for system construction

Modularity is a natural instrument and a ubiquitous practice for the engineering of human-made systems. However, modularization remains more of an art than a science; to the extent that the notion of optimal modularity is rarely used in engineering design. We prove that optimal modularity exists (at least for construction)—and is achieved through balanced modularization as structural symmetry in the distribution of the sizes of modules. We show that system construction cost is highly sensitive to both the number of modules and the modularization structure. However, this sensitivity has an inverse relationship with process capability and is minimal for highly capable construction processes with small process uncertainties. Conclusions are reached by a Bayesian estimation technique for a relatively simple construction model originally introduced by Herbert Simon for the hypothetical production of a linear structure, taking into account errors that may occur in the work associated with the production of the links between the nodes in the structure for varied numbers of modules. © 2015 Wiley Periodicals, Inc. Complexity, 2015

[1]  Qiang Tu,et al.  Measuring Modularity-Based Manufacturing Practices and Their Impact on Mass Customization Capability: A Customer-Driven Perspective , 2004, Decis. Sci..

[2]  Koen Frenken,et al.  Optimal modularity: a demonstration of the evolutionary advantage of modular architectures , 2011, Journal of Evolutionary Economics.

[3]  HERBERT A. SIMON,et al.  The Architecture of Complexity , 1991 .

[4]  Saraj Gupta,et al.  Analysis of modularity implementation methods from an assembly and variety viewpoints , 2013 .

[5]  Kim B. Clark,et al.  Design Rules: The Power of Modularity , 2000 .

[6]  Gregory Hornby,et al.  Modularity, reuse, and hierarchy: Measuring complexity by measuring structure and organization , 2007, Complex..

[7]  Marco Morales,et al.  The complexity of partition tasks , 2010 .

[8]  Carliss Y. Baldwin,et al.  Modularity in the Design of Complex Engineering Systems , 2006 .

[9]  David W. Rosen,et al.  Implications of Modularity on Product Design for the Life Cycle , 1998 .

[10]  P. John Clarkson,et al.  A Classification of Uncertainty for Early Product and System Design , 2007 .

[11]  Robert K. Logan,et al.  Designing for Emergence and Innovation: Redesigning Design , 2007 .

[12]  Yaneer Bar-Yam,et al.  Multiscale variety in complex systems , 2004, Complex..

[13]  André Thomas,et al.  Contribution to reusability and modularity of manufacturing systems simulation models: Application to distributed control simulation within DFT context , 2008 .

[14]  Kim B. Clark,et al.  The Option Value of Modularity in Design: An Example From Design Rules, Volume 1: The Power of Modularity , 2000 .

[15]  Karl T. Ulrich,et al.  Fundamentals of Product Modularity , 1994 .

[16]  F. Veloso,et al.  Interfirm Innovation under Uncertainty: Empirical Evidence for Strategic Knowledge Partitioning* , 2008 .

[17]  Sergio Pissanetzky Emergence and self-organization in partially ordered sets , 2011, Complex..

[18]  Carlos Eduardo Maldonado,et al.  The complexification of engineering , 2011, Complex..

[19]  Asghar Tabatabaei Balaei,et al.  Immune Decomposition and Decomposability Analysis of Complex Design Problems with a Graph Theoretic Complexity Measure , 2010, Smart Information and Knowledge Management.

[20]  José Luiz Fiadeiro,et al.  Interconnecting formalisms: supporting modularity, reuse and incrementality , 1995, SIGSOFT FSE.

[21]  Na Liu,et al.  Optimal Pricing, Modularity, and Return Policy Under Mass Customization , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[22]  Melissa A. Schilling Toward a General Modular Systems Theory and Its Application to Interfirm Product Modularity , 2000 .