Weaving Process Scheduling Method Based on Ant Colony Algorithm

Abstract:

In order to improve the weaving workshop productivity in textile industry, ant colony algorithm is used to solve knitting process scheduling problem. A model of ant colony algorithm for complex working conditions such as multi-product, multi-delivery, emergency orders coming which often occurs in the enterprise is established. Examples show that the method can effectively deal with complex conditions with good results. The modified Ant colony algorithm is feasible in the Knitting Process scheduling problem in the textile weaving industry.

• Periodical: Advanced Materials Research (Volumes 472-475)
• Pages: 2043-2047
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.472-475.2043
• Online since: February 2012
• Authors: Hua Lin Yang, Hai Ran Wang
• Keywords: ACO, Complex Working Conditions, Knitting Process Scheduling, MTO

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