International Conference DEVELOPING GOOD QUALITY PERFORMANCE MEASURMENT MODEL TOWARD SMART FACTORY
2016.10.17 09:27
| author | Gyusun Hwang |
|---|---|
| 2nd author | Tai-woo Chang and Jinwoo Park |
| presenter | Gyusun Hwang |
| info | ICIE (International Conference of Industrial Engineering) 10.10~ 12 |
| year | 2016 |
| category | IC |
| start / end date | 10.10 ~ 10.12 |
| city / nation | Seoul/Korea |
| 학회 | IJIE |
| keywords | Internet of Things; Performance measurement; Anomaly analysis; Process modelling; Business Process Management |
| abstract | The concept of Internet of Things (IoT) is important in collecting the shop floor data and transmitting it into the Information System in real time. The rapid proliferation of IoT in recent days has given rise to demands for clear acquisition of the IoT data as important sources of the performance measurement. The purpose of this study is to present the business process of the performance measurement using business process management (BPM). Moreover, in the common situation, IoT data may have a good quality and then performance measurement process has not any problem. However, in real situation, some IoT data may exhibit some anomalies, which triggers incorrect performance measurement. We try to explore the effectiveness of the data anomies and develop an anomaly detection & mitigation algorithm. To validate our proposed business process and algorithm, we will design virtual factory and execute the simulation. Through the simulation analysis, we are able to get an enhance realism. |
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