Abstract
ABSTRACT This paper considers the single batch scheduling problem with different release times and non-identical job sizes and the objective is to minimize the makespan. A mixed integer programming (MIP) model is developed to describe the complexity of the problem and then a hybrid forward/backward algorithm (HFBA) is developed by moving blocks within an initial schedule to improve the solution quality. Changing the initial schedule at each iteration, HFBA could decrease the influence of the initial schedule and reach the best solution efficiently in the final runs. Extensive experiments show that HFBA can obtain optimal solutions for small-job instances, and have good performances on solution quality for large instances with a modest CPU times.
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 callMore From: Journal of the Chinese Institute of Industrial Engineers
Disclaimer: 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.
