| Abstract [eng] |
It is important to consider production tasks scheduling in modern manufacturing control process, to insure manufacturing process flow effectiveness. In this paper author looks for optimal approach for analyzed production tasks scheduling optimization, using cluster analysis techniques and artificial intelligence technologies. To achieve bigger production effectiveness, task schedule is being optimized, minimizing machine stoppage time. Paper describes software, which is used in real production process (Yazaki Wiring Technologies manufacturing company) to optimize production task schedule; for this purpose used algorithm and its effectiveness, its improving possibilities applying artificial intelligence technologies. |
