An Effective DEA-AHP Algorithm for Evaluation of Emergency Logistics Performance

In recent years, much more natural disasters, public health events and a variety of disasters, accidents have occurred. This paper proposes an index system for the evaluation of the performance of emergency logistics. Performance evaluation of a group of entities is frequently based on the values of several attributes and usually requires the weights of the attributes to be set in advance. After an index of logistics system being built and with the Data Envelopment Analysis (DEA) algorithm and Analytical Hierarchical Process (AHP) algorithm being integrated. This hybrid model takes the best advantages of both AHP and DEA and at the same time, avoids either the subjectivity of AHP or the dichotomy of DEA. The results show that the evaluation method can measure the emergency logistics performance more effective and feasible.