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Toward process control from formal models of transformable manufacturing systems

Bakker, Otto Jan; Chaplin, Jack C.; de Silva, Lavindra; Felli, Paolo; Sanderson, David; Logan, Brian; Ratchev, Svetan

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Authors

Otto Jan Bakker

Lavindra de Silva

Paolo Felli

Brian Logan

Professor SVETAN RATCHEV svetan.ratchev@nottingham.ac.uk
Cripps Professor of Production Engineering & Head of Research Division



Abstract

The automation and flexibility of production systems is a key step towards improved profitability and competitiveness in high labour cost areas, when producing high-complexity, low-volume products. In the Evolvable Assembly Systems (EAS) project, the ‘manufacturability’ (or ‘realisability’) and ‘control’ algorithms were introduced to accommodate the batch-size-of-one production of highly customisable products. These algorithms enable checking whether a production line can manufacture a given product with its available set of resources, and how the product should be manufactured, e.g. which resources to use, and when. To this end, the authors formally define production recipes, which represent products, and manufacturing resources which make up a manufacturing facility. This paper re-defines these notions in the ISO-standard EBNF (Extended Backus-Naur Form) notation, and adapts the manufacturability and control algorithms to accommodate the new definitions. The new algorithms and data structures reflect more closely the ones that are used in an implemented software tool. This paper also reports a method by which recipes and resources could be used to generate manufacturing process controllers in the Business to Manufacturing Markup Language (B2MML) standard. In doing so, this paper takes a step toward a complete path from the formal specification of a manufacturing facility and the products to be manufactured, to the automatic generation of executable process plans.

Citation

Bakker, O. J., Chaplin, J. C., de Silva, L., Felli, P., Sanderson, D., Logan, B., & Ratchev, S. (2018). Toward process control from formal models of transformable manufacturing systems. Procedia CIRP, 63, 521-526. https://doi.org/10.1016/j.procir.2017.03.159

Journal Article Type Article
Acceptance Date Mar 18, 2017
Online Publication Date Jul 11, 2017
Publication Date Jul 11, 2018
Deposit Date Mar 23, 2017
Publicly Available Date Jul 11, 2017
Journal Procedia CIRP
Print ISSN 2212-8271
Electronic ISSN 2212-8271
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 63
Pages 521-526
DOI https://doi.org/10.1016/j.procir.2017.03.159
Keywords Evolvable Assembly Systems; Controller Synthesis; Standardisation
Public URL https://nottingham-repository.worktribe.com/output/844841
Publisher URL https://www.sciencedirect.com/science/article/pii/S2212827117303414

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