Performance efficiency and resource allocation strategy for fire department with the stochastic consideration

This research adopted the stochastic Data Envelopment Analysis (DEA) to analyse future performance efficiency through a two-staged problem solving procedure design. In Stage 1, the random production value is applied and then the future performance efficiency of firefighting branches of Tainan County is discussed using DEA. In Stage 2, efficiency improvement and resource allocation are conducted by through a future production trend analysis, and the future optimised scale of firefighting human resources allocation is determined by using the Group-Number Efficiency Scale Approach (GESA). In addition, based on the future trend evaluation, this study can provide suitable response strategies for firefighting human resources allocation for decision makers. Moreover, this study provides a referenced constructive and quantitative approach for solving the current problem of 'how to plan the future resources for optimisation'.