Abstract
The production scheduling of a bell-type batch annealing is a typical multi-machine, multi-stage, re-entry problem with complex constraints of resource and energy. It is also very difficult to build its mathematic model. In this paper, an optimal scheduling method for a bell-type batch annealing is proposed by combining an improved genetic algorithm and discrete event simulation techniques. The method has been implemented in a bell-type batch annealing shop in China. The application result shows the method improves production efficiency and gains economic benefits.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
