Realisability of production recipes

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

Abstract

There is a rising demand for customised products with a high degree of complexity. To meet these demands, manufacturing lines are increasingly becoming autonomous, networked, and intelligent, with production lines being virtualised into a manufacturing cloud, and advertised either internally to a company, or externally in a public cloud. In this paper, we present a novel approach to two key problems in such future manufacturing systems: the realisability problem (whether a product can be manufactured by a set of manufacturing resources) and the control problem (how a particular product should be manufactured). We show how both production recipes specifying the steps necessary to manufacture a particular product, and manufacturing resources and their topology can be formalised as labelled transition systems, and define a novel simulation relation which captures what it means for a recipe to be realisable on a production topology. We show how a controller that can orchestrate the resources in order to manufacture the product on the topology can be extracted from the simulation relation, and give an algorithm to compute a simulation relation and a controller.

Citation

de Silva, L., Felli, P., Chaplin, J. C., Logan, B., Sanderson, D., & Ratchev, S. (2016). Realisability of production recipes. In ECAI 2016 - 22nd European Conference on Artificial Intelligence (1449-1457). https://doi.org/10.3233/978-1-61499-672-9-1449

• Conference Name: 22nd European Conference in Artificial Intelligence (ECAI 2016)
• Conference Location: The Hague, The Netherlands
• Start Date: Aug 29, 2016
• End Date: Sep 2, 2016
• Acceptance Date: Jun 17, 2016
• Publication Date: 2016
• Deposit Date: Jul 26, 2016
• Publicly Available Date: Dec 31, 2016
• Peer Reviewed: Peer Reviewed
• Volume: 285
• Pages: 1449-1457
• Book Title: ECAI 2016 - 22nd European Conference on Artificial Intelligence
• ISBN: 978-1-61499-671-2
• DOI: https://doi.org/10.3233/978-1-61499-672-9-1449
• Public URL: https://nottingham-repository.worktribe.com/output/804756
• Publisher URL: http://ebooks.iospress.nl/volumearticle/44902
• Related Public URLs: http://www.ecai2016.org/