Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 293-303 |
| Number of pages | 11 |
| Journal | International Journal of Flexible Automation and Integrated Manufacturing |
| Volume | 7 |
| Issue number | 3 |
| Publication status | Published - 1 Dec 1999 |
| Externally published | Yes |