The FABMAS multi-agent-system prototype for production control of water fabs: design, implementation and performance assessment

Mönch, Lars; Stehli, Marcel; Zimmermann, Jens; Habenicht, Ilka

doi:10.1080/09537280600901269

Cited by 37 publications

(5 citation statements)

References 27 publications

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“…There are two directions for future research. It seems to be possible to use this ontology in connection with the content and coordination language suggested for FABMAS [3]. More sophisticated interactions scenarios have to be researched.…”

Section: Discussionmentioning

confidence: 98%

“…Staff agents solve problems like assignment and sequencing problems for lots waiting in front of machines for the decision-making agents. In order to solve manufacturing problems, the following generic functionality is provided by staff agents [3], [6]: When ϕ ω is not valid, an ad-hoc strategy to select parameters has to be used.…”

Section: Architecture Of Adaptive Agentsmentioning

confidence: 99%

“…[1] for a recent survey paper) and especially production control for wafer fabs (cf. [2], [3], and [4]). FABMAS is a hierarchically organized multi-agent-system that is designed to allowing for production control of wafer fabs [2], [3].…”

Section: Introductionmentioning

confidence: 96%

“…[2], [3], and [4]). FABMAS is a hierarchically organized multi-agent-system that is designed to allowing for production control of wafer fabs [2], [3]. The FABMAS ontology [5] was suggested to allow for a meaningful communication among the agents.…”

Section: Introductionmentioning

confidence: 96%

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An Ontology to Support Adaptive Agents for Complex Manufacturing Systems

Mönch

Zimmermann

2008

2008 32nd Annual IEEE International Computer Software and Applications Conference

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In this paper, we extend the FABMAS ontology towards its usage in adaptive production control systems for complex manufacturing systems. FABMAS is a hierarchically organized multi-agent-system for production control in the semiconductor manufacturing domain. It consists of decision-making and staff agents. Staff agents support the decision-making agents. We introduce adaptive staff agents. Adaptive staff agents make sure that the parameters of production control algorithms are properly adjusted in a situation-dependent manner. We derive necessary extensions of the FABMAS ontology based on the architecture of adaptive staff agents and their interaction with other agents of the manufacturing control system. We present an example for using the ontology within FABMAS.

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Section: Discussionmentioning

confidence: 98%

Section: Architecture Of Adaptive Agentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 96%

See 2 more Smart Citations

An Ontology to Support Adaptive Agents for Complex Manufacturing Systems

Mönch

Zimmermann

2008

2008 32nd Annual IEEE International Computer Software and Applications Conference

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“…Wu and Chien 2008), • usage of modern software technologies like software agents or service-oriented architectures (cf. Mönch et al 2006, Yoon and Shen 2008, Qui 2007), • application of distributed simulation techniques, • development of advanced forecasting techniques, • Fab economics for modeling economical implications for semiconductor industry (cf. Leachman, Ding, and Ching 2007).…”

Section: Motivation For This Panel Sessionmentioning

confidence: 99%

Modeling and analysis of semiconductor manufacturing in a shrinking world: Challenges and successes

Chien

Dauzère‐Pérès

Ehm

et al. 2008

2008 Winter Simulation Conference

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A panel session on the role of modeling and analysis in semiconductor manufacturing in a shrinking world is presented. Therefore, two participants are from Asia, two from Europe, and two from US and there are two panel organizers/moderators (Fowler and Mönch). One panelist from each continent is from industry and one from academia. Only initial position statements are included in the proceedings. However, these initial statements form the basis for the panel discussion. The statements of the panelists from industry relate to modeling and analysis problems found in their own companies. The position statements of the panelists from academia describe the role that modeling and analysis is expected to play in their current and ongoing research in semiconductor manufacturing. Furthermore, their views on the challenges and successes of modeling and analysis in a globalized world are also included.

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Literature Review

Kang

Choi

2012

Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control

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The FABMAS multi-agent-system prototype for production control of water fabs: design, implementation and performance assessment

Cited by 37 publications

References 27 publications

An Ontology to Support Adaptive Agents for Complex Manufacturing Systems

An Ontology to Support Adaptive Agents for Complex Manufacturing Systems

Modeling and analysis of semiconductor manufacturing in a shrinking world: Challenges and successes

Literature Review

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