Results of the holonic control system benchmark at KU Leuven

Valckenaers, Paul; Bonneville, F.; Brussel, H. Van; Bongaerts, Luc; Wyns, Jozef

doi:10.1109/cimat.1994.389083

Cited by 65 publications

(24 citation statements)

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“…Hierarchical, heterarchical and holonic control structures for an assembly cell are compared in [31]. Holonic systems were found to deliver better performance in a wider range of situations than their more conventional counterparts.…”

Section: Assembly and Life-cycle Managementmentioning

confidence: 99%

“…Holonic systems, as one of the new paradigms of manufacturing, consist of autonomous, intelligent, flexible, distributed, cooperative agents or holons [31]. One of the most promising features of the holonic approach is that it represents a transition between fully hierarchical and heterarchical systems [31] [98].…”

Section: Holonic Control Structuresmentioning

confidence: 99%

“…One of the most promising features of the holonic approach is that it represents a transition between fully hierarchical and heterarchical systems [31] [98]. Holonic architectures can also include both temporal and permanent hierarchies [98].…”

Section: Holonic Control Structuresmentioning

confidence: 99%

“…Under the pressure of the above challenges, the transformations of manufacturing systems and organizations are already underway [29]. The need for novel organizational principles, structures and method has called forth various approaches [30] in the past decade, such as holonic [31] [32], fractal [33], random [34], biological [35], and multi-agent manufacturing systems [36], to name but those investigated by CIRP colleagues. All the above approaches are similar in that they assume network-like, dynamic, open and reconfigurable systems where decisions are made and production is carried out by more or less independent and cooperative partners.…”

Section: Paradigm Shifts In Manufacturingmentioning

confidence: 99%

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Agent-Based Systems for Manufacturing

2006

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The emerging paradigm of agent-based computation has revolutionized the building of intelligent and decentralized systems. The new technologies met well the requirements in all domains of manufacturing where problems of uncertainty and temporal dynamics, information sharing and distributed operation, or coordination and cooperation of autonomous entities had to be tackled. In the paper software agents and multi-agent systems are introduced and through a comprehensive survey, their potential manufacturing applications are outlined. Special emphasis is laid on methodological issues and deployed industrial systems. After discussing open issues and strategic research directions, we conclude that the evolution of agent technologies and manufacturing will probably proceed hand in hand. The former can receive real challenges from the latter, which, in turn, will have more and more benefits in applying agent technologies, presumably together with well-established or emerging approaches of other disciplines.

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Section: Assembly and Life-cycle Managementmentioning

confidence: 99%

Section: Holonic Control Structuresmentioning

confidence: 99%

Section: Holonic Control Structuresmentioning

confidence: 99%

Section: Paradigm Shifts In Manufacturingmentioning

confidence: 99%

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Agent-Based Systems for Manufacturing

2006

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“…Koestler de®nes a holarchy as``a hierarchy of self-regulating control building blocks (holons), which function (a) as autonomous wholes in supraordination to their parts, (b) as dependent parts in subordination to controls on higher-levels, (c) in coordination with their local environment'' [14].…”

Section: The Differences Between Hierarchical and Holonic Controlmentioning

confidence: 99%

Building holarchies for concurrent manufacturing planning and control in EtoPlan

Giebels¹,

Kals²,

Zijm³

2001

Computers in Industry

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The increasing versatility in order characteristics calls for planning and control systems that are able to evolve in time. Traditional hierarchical systems are usually based on a function-oriented static control structure in which all orders and products are handled similarly. Due to the dynamically changing characteristics of manufacturing environments these static control structures are not suitable anymore. Hence, a concept description and a prototype implementation for concurrent manufacturing planning and control (EtoPlan) based on multiple and temporary hierarchies (holarchies) are presented. The alternative control structure allows among other things to bridge the gap between process planning and production planning. The EtoPlan order planning method explicitly models the uncertainty in the information due to incompleteness of process planning information and shop¯oor randomness. #

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Agent based architectures for mastering changes and disturbances in manufacturing

Monostori

Kádár

1998

Tasks and Methods in Applied Artificial Intelligence

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Results of the holonic control system benchmark at KU Leuven

Cited by 65 publications

References 1 publication

Agent-Based Systems for Manufacturing

Agent-Based Systems for Manufacturing

Building holarchies for concurrent manufacturing planning and control in EtoPlan

Agent based architectures for mastering changes and disturbances in manufacturing

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