Production planning in parallel production systems such as banks: A DEA-based approach

Banking industry in the world and especially in Iran are among those competitive organizations that active based on parallel production systems. So,production planning for the next period of activity is so sensitive, and important. To achieve these end, Decisions should forecastes short and long financial plans for next period. In many real word problems, there is production systems which are composed a finite number of production stations arranged in parallel. The problem of production planning and resource allocation in such systems is an important subject in DEA context. In this paper, the problem of resource allocation and production planning in parallel production systems has been studied. An aggregated DEA model is used to the production planning problem. An empirical example is used to illustrate the applicability to the proposed approach.