Process plan controllers for non-deterministic manufacturing systems

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 resou...

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Main Authors: Felli, Paolo, de Silva, Lavindra, Logan, Brian, Ratchev, Svetan
Format: Conference or Workshop Item
Published: 2017
Online Access:https://eprints.nottingham.ac.uk/44279/
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author Felli, Paolo
de Silva, Lavindra
Logan, Brian
Ratchev, Svetan
author_facet Felli, Paolo
de Silva, Lavindra
Logan, Brian
Ratchev, Svetan
author_sort Felli, Paolo
building Nottingham Research Data Repository
collection Online Access
description 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.
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format Conference or Workshop Item
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institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:55:00Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
spelling nottingham-442792020-05-04T19:01:21Z https://eprints.nottingham.ac.uk/44279/ Process plan controllers for non-deterministic manufacturing systems Felli, Paolo de Silva, Lavindra Logan, Brian Ratchev, Svetan 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. 2017-08-19 Conference or Workshop Item PeerReviewed Felli, Paolo, de Silva, Lavindra, 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.
spellingShingle Felli, Paolo
de Silva, Lavindra
Logan, Brian
Ratchev, Svetan
Process plan controllers for non-deterministic manufacturing systems
title Process plan controllers for non-deterministic manufacturing systems
title_full Process plan controllers for non-deterministic manufacturing systems
title_fullStr Process plan controllers for non-deterministic manufacturing systems
title_full_unstemmed Process plan controllers for non-deterministic manufacturing systems
title_short Process plan controllers for non-deterministic manufacturing systems
title_sort process plan controllers for non-deterministic manufacturing systems
url https://eprints.nottingham.ac.uk/44279/