Kanban, MRP and shaping the manufacturing environment
Management Science
Simulation with Arena
Design and Analysis of Experiments
Design and Analysis of Experiments
Proceedings of the 38th conference on Winter simulation
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The problem of optimizing decision variables in a single-stage replenishment loop with capacity-constrained batch processing is examined. Simulation and response surface methods are used to model total inventory and delivery performance for a continuous-review reorder point system and a single-card Kanban system. Performance tradeoff curves based on optimal settings are created using nonlinear optimization. The area under these curves is used as a single response for comparison. If tradeoff curves are experimentally replicated, main and interaction effects can also be statistically analyzed. Results show that under time-varying demand the reorder point system performs slightly better. Improvements in performance with setup time reduction are similar for both systems.