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Marcus Kotze
Katholieke Universiteit Leuven
Model predictive controlReconfigurable Manufacturing SystemMulti-agent systemDistributed element modelScalability
2Publications
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Publications 5
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#1Gerben Peeters (Katholieke Universiteit Leuven)
#2Marcus Kotze (Katholieke Universiteit Leuven)
Last. Peter Slaets (Katholieke Universiteit Leuven)H-Index: 6
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Abstract Although road-based freight transport has large external costs, it currently dominates the hinterland cargo transport sector in Europe. An increase of the automation levels of inland cargo vessels could advance their competitiveness, hence unlocking more sustainable inland cargo transport. Moreover, these improvements could pave the way for a potential future paradigm shift towards unmanned inland cargo vessels. Therefore, this study investigates the design of an experimental platform i...
1 CitationsSource
#2T CatoorH-Index: 1
Last. Peter SlaetsH-Index: 6
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2 CitationsSource
Last. Peter SlaetsH-Index: 6
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1 CitationsSource
#1Ruben Van Parys (Core Laboratories)H-Index: 5
#2Maarten Verbandt (Core Laboratories)H-Index: 1
Last. Goele Pipeleers (Core Laboratories)H-Index: 1
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Factories of the future must be agile to adapt to rapidly changing customer needs, market volatility and shortened product life cycles. This requires flexibility in hardware and software at distinct levels of the factory and manufacturing process: multipurpose machines with fast change-overs, easy to use reconfigurable software and distributed decision-making are key. This paper leverages the new Industry 4.0 design principles to cope with these new manufacturing requirements: (i) distributed au...
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Jul 9, 2018 in AAMAS (Adaptive Agents and Multi-Agents Systems)
#1Ruben Van Parys (Katholieke Universiteit Leuven)H-Index: 5
#2Maarten Verbandt (Katholieke Universiteit Leuven)H-Index: 1
Last. Goele Pipeleers (Katholieke Universiteit Leuven)H-Index: 16
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This demonstration presents Flexonomy, a flexible autonomous system for distributed coordination, transportation and localisation in a lab-scale factory floor. It illustrates the use of multi-agent systems in manufacturing and leverages new Industry 4.0 design principles to cope with manufacturing requirements in factories of the future: rapidly changing customer needs, market volatility and shortened product life cycles. Three main contributions are identified: (i) distributed auction-based coo...
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