Abstract

In a Just-in-Time(JIT) production system, two kinds of Kanbans are used as tools to control the production and withdrawal quantities in each stage. The number of Kanbans used in stages decide the performance of the JIT production system. This paper analyzes it under stochastic demand and deterministic processing times. An algorithm is devised for computing stationary distributions of its production quantities and total backlogged demand. This algorithm can determine optimal numbers of two kinds of Kanbans. A numerical example is computed by this algorithm.KeywordsJust-In-Time production systemPerformance evaluationOptimization

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