Centralized resource allocation to create New Most Productive Scale Size (MPSS) DMUs

Data envelopment analysis (DEA) is a mathematical programming - based technique to evaluate the performance of homogeneous group decision-making units (DMUs) with multiple inputs and outputs. One DEA applications involves aggregating input resources reallocating them create efficient DMUs.The present study employs centralized resource allocation (CRA) approach develop model for creating new DMUs. These DMUs are most productive scale size (MPSS), all lie on strong supporting hyperplane. In this case, dual used obtain hyperplane which on. This derived by solving generating common set weights. Then, it shown that hyperplane, an MPSS facet intersection production possibility (PPS).