HTFnJ40B97OR3RB3pnY0JNarDseOATiD2IATt4rWstE7kJn69WTW2BaSfTwp
Current position: Home >> Scientific Research >> Paper Publications

Dynamic Scheduling Method Based on Multi-Agent for Cold Rolling Whole Line

Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2013-07-26

Included Journals: Scopus、CPCI-S、EI

Page Number: 8082-8087

Key Words: Cold Rolling; Planning and Scheduling; Multi-Agent; Ant Colony Optimization

Abstract: The production process of cold rolling plant is very complicated due to its long production flow, a large number of product categories and machines. The static production planning is usually difficult to be repeatedly assigned when some unexpected circumstances occur, for example machine malfunction, material delay and etc. In this study, a distributed dynamic scheduling method based on multi-agent is established for solving the rescheduling problem of cold rolling line, in which a dynamic reconfiguration method of the production flow is further studied to realize the balance of machine yields ability and load. For solving the established model, an ant colony optimization based on dynamic constraints is proposed. The practical experiments with real data of Shanghai BaoSteel Co. Ltd demonstrate that the proposed method is effective to the production rescheduling of cold rolling line.

Prev One:Bayesian neural networks based pipeline pressure prediction for steam system in steel industry

Next One:Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble