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Process Plan Controllers for Non-Deterministic Manufacturing Systems

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

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Authors

Paolo Felli

Lavindra De Silva

Brian Logan

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



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 nondeterministic (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.

Conference Name Twenty-Sixth International Joint Conference on Artificial Intelligence
Conference Location Melbourne, Australia
Start Date Aug 19, 2017
End Date Aug 25, 2017
Acceptance Date Apr 24, 2017
Online Publication Date Aug 19, 2017
Publication Date 2017-08
Deposit Date Jul 20, 2017
Publicly Available Date Aug 19, 2017
Publisher International Joint Conferences on Artificial Intelligence
Volume 2017-August
Pages 1023-1030
Series Title International Joint Conference on Artificial Intelligence. Proceedings
Series ISSN 1045-0823
Book Title Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
DOI https://doi.org/10.24963/ijcai.2017/142
Keywords Knowledge Representation, Reasoning, and Logic: Action, Change and Causality Agent-based and Multi-agent Systems: Formal verification, validation and synthesis
Public URL https://nottingham-repository.worktribe.com/output/878310
Publisher URL https://www.ijcai.org/proceedings/2017/142
Related Public URLs https://www.ijcai.org/Proceedings/2017/

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