Abstract
Abstract In recent years the concept of just-in-time production has gained much popularity as its adoption will lead to better competitiveness and will result in the reduction of inventory costs. The realization of such a concept, however, hinges on the implementation of stringent production planning and control. This paper presents a just-in-time production planning technique that is based on discrete-event simulation. The technique encompasses a tuning mechanism that generates strategies which will enable the achievement of just-in-time production of jobs. The underlying philosophy behind this technique is verified by application to a real industrial system.
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