Dynamic scheduling with production process reconfiguration for cold rolling line

Abstract

AbstractThe manufacturing process of cold rolling line in steel industry is often complicated due to its long production flow, a large number of product categories and machines. The static production plans usually have to be repeatedly assigned when some unexpected circumstances occur, for example machine malfunction and material delay. In this study, a distributed dynamic scheduling model based on multi-agent is established for solving the rescheduling problem of cold rolling line, in which a dynamic reconfiguration 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.