Dr Hongnian Yu H.Yu@napier.ac.uk
Professor
Combined Petri net modelling and AI based heuristic hybrid search for flexible manufacturing systems—part 1. Petri net modelling and heuristic search
Yu, H.; Reyes, A.; Cang, S.; Lloyd, S.
Authors
A. Reyes
S. Cang
S. Lloyd
Abstract
This two-part paper presents modelling and scheduling approaches for flexible manufacturing systems (FMS) using Petri nets (PNs) and artificial intelligence (AI) based heuristic search methods. In part I, the description of FMS formulation that will be considered throughout the paper is presented. A new class of PNs, Buffer-nets, for defining FMS is proposed, which enhances the modelling techniques for manufacturing systems with features that are considered difficult to model. An input language for automatic synthesis of these nets is developed. A scheduling architecture, which integrates PN models and AI techniques, is proposed. Finally, the complexity issues of manufacturing systems are addressed.
Citation
Yu, H., Reyes, A., Cang, S., & Lloyd, S. (2003). Combined Petri net modelling and AI based heuristic hybrid search for flexible manufacturing systems—part 1. Petri net modelling and heuristic search. Computers and Industrial Engineering, 44(4), 527-543. https://doi.org/10.1016/s0360-8352%2802%2900212-7
Journal Article Type | Article |
---|---|
Online Publication Date | Dec 13, 2002 |
Publication Date | 2003-04 |
Deposit Date | Jun 15, 2022 |
Journal | Computers & Industrial Engineering |
Print ISSN | 0360-8352 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 44 |
Issue | 4 |
Pages | 527-543 |
DOI | https://doi.org/10.1016/s0360-8352%2802%2900212-7 |
Keywords | Petri nets, Artificial intelligence, FMS scheduling problem, Modelling |
Public URL | http://researchrepository.napier.ac.uk/Output/2879302 |
You might also like
DMF-Net: A Dual-Encoding Multi-Scale Fusion Network for Pavement Crack Detection
(2023)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search