Combined Petri net modelling and AI based heuristic hybrid search for flexible manufacturing systems - part 1. Petri net modelling and heuristic search

This source preferred by Hongnian Yu and Shuang Cang

Authors: Yu, H., Reyes, A., Cang, S. and Lloyd, S.

http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V27-47F78CV-1&_user=1682380&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000011378&_version=1&_urlVersion=0&_userid=1682380&md5=51bd0dbecabb4fc571278e11b758e9cd

Journal: Computers & Industrial Engineering

Volume: 44

Pages: 527-543

ISSN: 0360-8352

DOI: 10.1016/S0360-8352(02)00212-7

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.

This data was imported from Scopus:

Authors: Yu, H., Reyes, A., Cang, S. and Lloyd, S.

Journal: Computers and Industrial Engineering

Volume: 44

Issue: 4

Pages: 527-543

ISSN: 0360-8352

DOI: 10.1016/S0360-8352(02)00212-7

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. © 2002 Elsevier Science Ltd. All rights reserved.

This data was imported from Web of Science (Lite):

Authors: Yu, H., Reyes, A., Cang, S. and Lloyd, S.

Journal: COMPUTERS & INDUSTRIAL ENGINEERING

Volume: 44

Issue: 4

Pages: 527-543

ISSN: 0360-8352

DOI: 10.1016/S0360-8352(02)00212-7

The data on this page was last updated at 04:42 on September 25, 2017.