Abstract
The performance of multiproduct kanban systems is strongly dependent on a set of numerical and non-numerical parameters, such as the number of kanbans between machines, the transport lot sizes, the safety storage sizes and the sequencing rules. Configuring such systems consists of determining a value for each parameter in order to optimize a performance criterion. The authors propose a distributed simulation optimization method based on evolutionary principles, which is capable of simultaneously taking into account various parameters involved in the configuration of multiproduct kanban systems. In order to improve the quality of the results and to reduce computing time, concurrent searches are managed through a network of workstations. This approach is illustrated by the configuration of a kanban system comprising four machines in line, which process three types of product.
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 Computer Integrated Manufacturing
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.
