A holonic architecture for easy reconfiguration of robotic assembly systems

Sugi, Michio; Maeda, Yusuke; Aiyama, Yasumichi; Harada, Taiki; Arai, Tamio

doi:10.1109/tra.2003.810241

Cited by 37 publications

(12 citation statements)

References 12 publications

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“…The multi layer holonic assembly system was studied also by Sugi et al (2003). The holarchy of the system consists of execution holons layer identified as K1, assembly operation holons layer identified as K2 and top management operation holon identified here as K3 layer.…”

Section: K1-executionmentioning

confidence: 99%

Polystochastic Models for Complexity

Iordache¹

2010

Understanding Complex Systems

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Complexity is an interdisciplinary program publishing the best research and academic-level teaching on both fundamental and applied aspects of complex systems -cutting across all traditional disciplines of the natural and life sciences, engineering, economics, medicine, neuroscience, social and computer science.Complex Systems are systems that comprise many interacting parts with the ability to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous formation of distinctive temporal, spatial or functional structures. Models of such systems can be successfully mapped onto quite diverse "real-life" situations like the climate, the coherent emission of light from lasers, chemical reaction-diffusion systems, biological cellular networks, the dynamics of stock markets and of the internet, earthquake statistics and prediction, freeway traffic, the human brain, or the formation of opinions in social systems, to name just some of the popular applications.Although their scope and methodologies overlap somewhat, one can distinguish the following main concepts and tools: self-organization, nonlinear dynamics, synergetics, turbulence, dynamical systems, catastrophes, instabilities, stochastic processes, chaos, graphs and networks, cellular automata, adaptive systems, genetic algorithms and computational intelligence.The two major book publication platforms of the Springer Complexity program are the monograph series "Understanding Complex Systems" focusing on the various applications of complexity, and the "Springer Series in Synergetics", which is devoted to the quantitative theoretical and methodological foundations. In addition to the books in these two core series, the program also incorporates individual titles ranging from textbooks to major reference works. Future scientific and technological developments in many fields will necessarily depend upon coming to grips with complex systems. Such systems are complex in both their composition -typically many different kinds of components interacting simultaneously and nonlinearly with each other and their environments on multiple levels -and in the rich diversity of behavior of which they are capable. Editorial and Programme Advisory BoardThe Springer Series in Understanding Complex Systems series (UCS) promotes new strategies and paradigms for understanding and realizing applications of complex systems research in a wide variety of fields and endeavors. UCS is explicitly transdisciplinary. It has three main goals: First, to elaborate the concepts, methods and tools of complex systems at all levels of description and in all scientific fields, especially newly emerging areas within the life, social, behavioral, economic, neuroand cognitive sciences (and derivatives thereof); second, to encourage novel applications of these ideas in various fields of engineering and computation such as robotics, nano-technology and informatics; third, to provide a single forum within which commonalities and differences in the workings of comple...

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Section: K1-executionmentioning

confidence: 99%

Polystochastic Models for Complexity

Iordache¹

2010

Understanding Complex Systems

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“…In particular, production equipment does not always comply with structural or configuration standards and there are complex levels of interactions [11]. For instance, two robots sharing the same workspace need additional constraints to avoid interference and collision [12,13].…”

Section: Introductionmentioning

confidence: 99%

A multi-agent architecture for plug and produce on an industrial assembly platform

Antzoulatos

Castro

Scrimieri

et al. 2014

Prod. Eng. Res. Devel.

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Modern manufacturing companies face increased pressures to adapt to shorter product life cycles and the need to reconfigure more frequently their production systems to offer new product variants. This paper proposes a new multi-agent architecture utilising ''plug and produce'' principles for configuration and reconfiguration of production systems with minimum human intervention. A new decision-making approach for system reconfiguration based on tasks re-allocation is presented using goal driven methods. The application of the proposed architecture is described with a number of architectural views and its deployment is illustrated using a validation scenario implemented on an industrial assembly platform. The proposed methodology provides an innovative application of a multi-agent control environment and architecture with the objective of significantly reducing the time for deployment and ramp-up of small footprint assembly systems.

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“…In the past, to cope with changes in manufacturing systems, several investigations focused on (I) line manufacturing systems for mass production and (II) flexible manufacturing systems using cellular and holonic manufacturing in order to meet low-volume and high-mix production demands [Sugi et al (2003)] [Sugi et al (2005)]. However, the results of these investigations and innovations have been insufficient, in and of themselves, to support manufacturing for the following reasons:…”

Section: Introductionmentioning

confidence: 99%