Managerial goals directed benchmarking for organised efficiency in data envelopment analysis

Recognition of benchmarking for decision making units (DMUs) contains a key component of future planning. For this reason, in this research, we investigate an enriched form of data envelopment analysis (DEA) that is linked to managers' future planning goals. We need to mention that top managers' goals are deemed for a long time. In this study, a DEA approach is presented to find benchmark of DMUs with imposed inputs. In our proposed approach, it is assumed that some inputs have been imposed on the target decision making unit (DMU) by allocation from higher levels of management or by history. A goal programming structure is used by a new model for exploring points on the efficient frontier that they are realistically achievable by DMUs. Lastly, we apply the model to real world dataset then some conclusions are drawn and also directions for future research are suggested.