Abstract
AbstractThe paper provides a simulation model for kanban‐based scheduling in a multi‐stage, multi‐product manufacturing system. The model assists managers in determining the number of circulating kanbans and the corresponding container capacity. Each part is analyzed separately to find the optimum interarrivai time of the material handler, the optimum container capacity and the optimum number of kanbans. The analysis is based on the relationships between the overall cost and interarrivai times of each of these three input variables. Possible combinations of lot sizes are also investigated with the objective of reducing the number of such mixes. The results are used as an input for the multi‐product multistage simulation model to determine the best policy of mixed container capacities and number of kanbans. It is demonstrated that, given a set of operational conditions, a better design of a just‐in‐time manufacturing system can be attained through the application of the proposed simulation model.
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.
