A neural network model for on-line control of flexible manufacturing systems
Author:
Affiliation:
1. a Dept, of Applied Statistics , Faculty of Business, City Polytechnic of Hong , Kowloon, Hong Kong.
2. b The Kalz Graduate School of Business, University of Pittsburgh , PA, 15260
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207549508904848
Reference21 articles.
1. Scheduling for minimizing total actual flow time by neural networks
2. Flexible Manufacturing Systems: A Review of Analytical Models
3. Experimental investigation of flexible manufacturing system scheduling decision rules
4. Characterization of automatic guided vehicle dispatching rules
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