Process plan controllers for non-deterministic manufacturing systems

Felli, Paolo and de Silva, Lavindra and Logan, Brian and Ratchev, Svetan (2017) Process plan controllers for non-deterministic manufacturing systems. In: International Joint Conference on Artificial Intelligence (IJCAI), 19-25 August 2017, Melbourne, Australia.

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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.

Item Type: Conference or Workshop Item (Paper)
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Mechanical, Materials and Manufacturing Engineering
University of Nottingham, UK > Faculty of Science > School of Computer Science
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Depositing User: De Silva, Lavindra
Date Deposited: 20 Jul 2017 08:50
Last Modified: 19 Aug 2017 04:30
URI: http://eprints.nottingham.ac.uk/id/eprint/44279

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