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On agent-based decentralized and integrated scheduling for small-scale manufacturing

On agent-based decentralized and integrated scheduling for small-scale manufacturing AbstractSmall-scale manufacturing often relies on flexible production systems that can cope with frequent changes of products and equipment. Transports are a significant part of the production flow, especially in the domain of large and heavy workpieces that requires explicit planning to avoid unnecessary delays. This contribution takes a detailed look at how to create feasible integrated schedules within a decentralised or even heterarchical architecture and which information the agents have to exchange. These schedules incorporate constraints such as the blocking-constraint. They also consider dynamic setup and operation durations while finding a good-enough solution. The proposed agent-based solution applies to a wide variety of scheduling problems and reveals positive properties in terms of scalability and reconfigurability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png at - Automatisierungstechnik de Gruyter

On agent-based decentralized and integrated scheduling for small-scale manufacturing

at - Automatisierungstechnik , Volume 68 (1): 17 – Jan 28, 2020

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References (34)

Publisher
de Gruyter
Copyright
© 2020 Gehlhoff and Fay, published by De Gruyter
ISSN
2196-677X
eISSN
2196-677X
DOI
10.1515/auto-2019-0105
Publisher site
See Article on Publisher Site

Abstract

AbstractSmall-scale manufacturing often relies on flexible production systems that can cope with frequent changes of products and equipment. Transports are a significant part of the production flow, especially in the domain of large and heavy workpieces that requires explicit planning to avoid unnecessary delays. This contribution takes a detailed look at how to create feasible integrated schedules within a decentralised or even heterarchical architecture and which information the agents have to exchange. These schedules incorporate constraints such as the blocking-constraint. They also consider dynamic setup and operation durations while finding a good-enough solution. The proposed agent-based solution applies to a wide variety of scheduling problems and reveals positive properties in terms of scalability and reconfigurability.

Journal

at - Automatisierungstechnikde Gruyter

Published: Jan 28, 2020

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