Coordinating and Evaluating of Multiple Key Performance Indicators for Manufacturing Equipment: Case Study of Distillation Column

Manufacturing equipment takes the task of operation and directly effects on the manufacturing process. One single Key Performance Indicator (KPI) is mainly employed to evaluate equipment in most studies, neither integrating the KPIs into a completed evaluation system nor considering the impact and conflict among KPIs. In this paper, a KPI evaluation architecture is presented to define and analyze KPIs, and then a common structure for KPI to obtain the KPI set of manufacturing equipment is introduced. An available multi-KPI coordination model is proposed to discern and balance the relationship among multi-KPI. Finally, a case study is introduced to illustrate the applicability of the coordination model by using multi-objective optimization strategy and an efficient solution is obtained.

Key performance indicators (KPIs) are defined as quantifiable and strategic measurements that reflect the critical success factors in the manufacturing process. KPIs interact and impact each other in the multi-KPI set for equipment. Therefore, it's necessary and important to discern and balance the relationship among multi-KPIs to evaluate the performance of the manufacturing equipment and make effective decision for the manufacturing process. Through coordinating and balancing the relationship between production rate indicator and unit energy consumption indicator in the distillation process, an efficient solution is obtained to evaluate the performance of the distillation column and the effectiveness of the multi-KPI coordination model is validated in this paper.Figure optionsDownload as PowerPoint slide