DocumentCode
2259022
Title
Manufacturing Resource Optimization Deployment for Manufacturing Execution System
Author
Du, Laihong ; Fang, Yadong ; He, Yanli
Author_Institution
Coll. of Inf., Xi´´an Univ. of Finance & Econ., Xian
Volume
1
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
234
Lastpage
238
Abstract
Manufacturing execution system (MES) is put forward by advanced manufacturing research, and it´s the management information system for workshop hierarchy, which is located between planning management system and industry controlling system. How to manage, share and allocate manufacturing resource is key problem for MES. The paper firstly introduces requirements of manufacturing resource allocation for MES application, and analyzes plant manufacturing task description and equipment resource model. And then studies manufacturing resource optimization deployment problem based on grey relation theory and ant colony algorithm. Secondly, manufacturing task is divided into series of working procedure in time order by technologic planning. Secondly, considerable machines are selected in terms of multi-hierarchy grey relation coefficient at each working procedure node to reduce the size of problem. Lastly, manufacturing resource selecting path is decided by making use of ant colony algorithm in light of grey relation degree.
Keywords
management information systems; manufacturing systems; optimisation; production engineering computing; MES application; advanced manufacturing research; ant colony algorithm; grey relation theory; manufacturing execution system; manufacturing resource optimization deployment; multihierarchy grey relation coefficient; workshop hierarchy; Ant colony optimization; Control systems; Electrical equipment industry; Industrial control; Industrial relations; Management information systems; Manufacturing industries; Pulp manufacturing; Resource management; Virtual manufacturing; Manufacturing Execution System; ant colony algorithm; equipment resource model; grey relation theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3497-8
Type
conf
DOI
10.1109/IITA.2008.413
Filename
4739570
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