In the manufacturing industry, production scheduling is one of the most important planning and scheduling issues. Simulation can help to improve the operation of manufacturing systems. In this paper, we present a simulation approach for dynamic and stochastic scheduling using ARENA software. The problem studied is a system with 3 manufactures, each with multiple parallel-processing capacity. The objectives for the first part of this study are to investigate the system behavior in order to meet the following measures of performance: minimum mean flow time, maximum throughput, minimum WIP, and maximum machine utilization. Ten dispatching rules were implemented for scheduling. The target for the second part of study is to implement a look-ahead control technique to maintain WIP to a minimum level while maintaining a high level of throughput. A new launch controller was implemented to improve the system behavior.
|Number of pages||11|
|Journal||International Journal of Flexible Automation and Integrated Manufacturing|
|Publication status||Published - 1 Dec 1999|