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Process plan controllers for non-deterministic manufacturing systems

Felli, Paolo; de Silva, Lavindra; Logan, Brian; Ratchev, Svetan

Authors

Paolo Felli Paolo.Felli@nottingham.ac.uk

Lavindra de Silva Lavindra.Desilva@nottingham.ac.uk

Brian Logan bsl@cs.nott.ac.uk

Svetan Ratchev svetan.ratchev@nottingham.ac.uk



Abstract

Determining the most appropriate means of producing a given product, i.e., which manufacturing and assembly tasks need to be performed in which order and how, is termed process planning In process planning, abstract manufacturing tasks in a process recipe are matched to available manufacturing resources, e.g., CNC machines and robots, to give an executable process plan. A process plan controller then delegates each operation in the plan to specific manufacturing resources. In this paper we present an approach to the automated computation of process plans and process plan controllers. We extend previous work to support both non-deterministic (i.e., partially controllable) resources, and to allow operations to be performed in parallel on the same part. We show how implicit fairness assumptions can be captured in this setting, and how this impacts the definition of process plans.

Journal Article Type Conference Paper
Publication Date Aug 19, 2017
Journal International Joint Conference on Artificial Intelligence
Electronic ISSN 1045-0823
Peer Reviewed Peer Reviewed
APA6 Citation Felli, P., de Silva, L., Logan, B., & Ratchev, S. (2017). Process plan controllers for non-deterministic manufacturing systems. 00 Journal not listed, doi:10.24963/ijcai.2017/142
DOI https://doi.org/10.24963/ijcai.2017/142
Publisher URL https://www.ijcai.org/proceedings/2017/142
Related Public URLs https://ijcai-17.org/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information ISSN 1045-0823

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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