Modular design

About: Modular design is a research topic. Over the lifetime, 32292 publications have been published within this topic receiving 461498 citations. The topic is also known as: design modularity & modularity in design.

Managing in an age of modularity

Abstract: Modularity is a familiar principle in the computer industry. Different companies can independently design and produce components, suck as disk drives or operating software, and those modules will fit together into a complex and smoothly functioning product because the module makers obey a given set of design rules. Modularity in manufacturing is already common in many companies. But now a number of them are beginning to extend the approach into the design of their products and services. Modularity in design should tremendously boost the rate of innovation in many industries as it did in the computer industry. As businesses as diverse as auto manufacturing and financial services move toward modular designs, the authors say, competitive dynamics will change enormously. No longer will assemblers control the final product: suppliers of key modules will gain leverage and even take on responsibility for design rules. Companies will compete either by specifying the dominant design rules (as Microsoft does) or by producing excellent modules (as disk drive maker Quantum does). Leaders in a modular industry will control less, so they will have to watch the competitive environment closely for opportunities to link up with other module makers. They will also need to know more: engineering details that seemed trivial at the corporate level may now play a large part in strategic decisions. Leaders will also become knowledge managers internally because they will need to coordinate the efforts of development groups in order to keep them focused on the modular strategies the company is pursuing.

Dynamic reconfiguration of human brain networks during learning.

Abstract: Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior. These two attributes—flexibility and selection—must operate over multiple temporal scales as performance of a skill changes from being slow and challenging to being fast and automatic. Such selective adaptability is naturally provided by modular structure, which plays a critical role in evolution, development, and optimal network function. Using functional connectivity measurements of brain activity acquired from initial training through mastery of a simple motor skill, we investigate the role of modularity in human learning by identifying dynamic changes of modular organization spanning multiple temporal scales. Our results indicate that flexibility, which we measure by the allegiance of nodes to modules, in one experimental session predicts the relative amount of learning in a future session. We also develop a general statistical framework for the identification of modular architectures in evolving systems, which is broadly applicable to disciplines where network adaptability is crucial to the understanding of system performance.

Control and Experiment of Pulsewidth-Modulated Modular Multilevel Converters

Abstract: A modular multilevel converter (MMC) is one of the next-generation multilevel converters intended for high- or medium-voltage power conversion without transformers. The MMC is based on cascade connection of multiple bidirectional chopper-cells per leg, thus requiring voltage-balancing control of the multiple floating DC capacitors. However, no paper has made an explicit discussion on voltage-balancing control with theoretical and experimental verifications. This paper deals with two types of pulsewidth-modulated modular multilevel converters (PWM- MMCs) with focus on their circuit configurations and voltage-balancing control. Combination of averaging and balancing controls enables the PWM-MMCs to achieve voltage balancing without any external circuit. The viability of the PWM-MMCs, as well as the effectiveness of the voltage-balancing control, is confirmed by simulation and experiment.

Toward a General Modular Systems Theory and Its Application to Interfirm Product Modularity

Abstract: Many systems migrate toward increasing or decreasing modularity, yet no explicit causal models exist to explain this process. In this article the author builds a general theory of modular systems, drawing on systems research from many disciplines, and then uses this general theory to derive a model of interfirm product modularity, including testable research propositions. The product model provides a valuable tool for predicting technological trajectories, and it demonstrates how the general theory can be applied to specific systems.

Modular production networks: a new American model of industrial organization

Abstract: This paper uses the case of contract manufacturing in the electronics industry to illustrate an emergent American model of industrial organization, the modular production network. Lead firms in the modular production network concentrate on the creation, penetration and defense of markets for end products—and increasingly the provision of services to go with them—while manufacturing capacity is shifted out-of-house to globally operating turn-key suppliers .T he modular production network relies on codified inter-firm links and the generic manufacturing capacity residing in turn-key suppliers to reduce transaction costs, build large external economies of scale and reduce risk for network actors. Itest the modular production network model against some of the key theoretical tools that have been developed to predict and explain industry structure: Joseph Schumpeter’s notion of innovation in the giant firm; Alfred Chandler’s ideas about economies of speed and the rise of the modern corporation; Oliver Williamson’s transaction cost framework; and a range of other production network models that appear in the literature. Iargue that the modular production network yields better economic performance in the context of globalization than more spatially and socially embedded network models. Iview the emergence of the modular production network as part of a historical process of industrial transformation in which nationally specific models of industrial organization co-evolve in intensifying rounds of competition, diffusion and adaptation.