Assessment of Mixed Network Processes with Shared Inputs and Undesirable Factors

Assessment of Mixed Network Processes with Shared Inputs and Undesirable Factors

Blog Article

In the real world, there are processes whose structures are like a parallel-series mixed network.Network data envelopment analysis Jeans (NDEA) is one of the appropriate methods for assessing the performance of processes with these structures.In the paper, mixed processes with two parallel and series components are considered, in which the first component or parallel section consists of the shared in-puts, and the second component or series section consists of undesirable factors.By considering the weak disposability assumption for undesirable factors, a DEA approach as based on network slack-based measure (NSBM) is introduced to evaluate powell and mahoney bloody mary mix the performance of processes with mixed structures.The proposed model is illustrated with a real case study.

Then, the model is developed to discriminate efficient units.(original abstract).