A mathematical programming approach to a deterministic Kanban system
Management Science
Kanban controlled pull systems: an analytic approach
Management Science
The determination of the optimal number of kanbans in a Just-In-Time production system
Computers and Industrial Engineering
Algorithm for the design of single-stage adaptive kanban system
Computers and Industrial Engineering
Computers and Operations Research
Determination of number of kanbans in a supply chain system via Memetic algorithm
Advances in Engineering Software
Application of analytic hierarchy process in just-in-time manufacturing systems: a review
International Journal of Data Analysis Techniques and Strategies
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In the kanban system, the main decision parameters are the number of kanbans and lot size. In this paper, an attempt has been made to set the number of kanbans at each station and the lot size required to achieve the best performance using simulated annealing technique. A simulation model with a single-card system has been designed and used for analysis. A hi-criterion objective function comprising of mean throughput rate and aggregate average kanban queue has been used for evaluation. Different perturbation schemes have been experimented and compared.