Performance Monitoring over Time by Data Envelopment Analysis and Statistical Control Charts (A Real Maintenance Unit as Case Study)
Data envelopment analysis (DEA) is a well-known approach for measuring performance of units in the presence of multiple input and output variables. Statistical control charts, on the other hand, have been developed for monitoring performance over the time and for distinguishing between in-control and out-control states. Using advantages of these approaches in this paper, an integrated model is proposed for measuring and controlling performance of unit(s) over the time. A real maintenance unit and its data are used as a case study for better understanding of the proposed model.
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