Abstract
The make-to-order assembly lines have gradually replaced the traditional mass production assembly lines. These assembly lines follow a 'make-to-order' production policy, which are featured with a short production lead time, small number of working stations and highly skilled workers. In order to maximise the throughput under the resource (machine, labour and time) constraints, the problem of minimising makespan with general precedence constraints is addressed in this paper. A mathematical model of the problem is presented and a new heuristic, genetic job-oriented list scheduling (GJLS) is developed. Computational experiments indicate that the proposed algorithm outperforms the existing Graham's list scheduling (GLS).
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: International Journal of Advanced Operations Management
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.
