PREFERENCE VOTING AND RANKING USING DEA GAME CROSS EFFICIENCY MODEL(<Special Issue>Operations Research for Performance Evaluation)

Preference Voting and Ranking Using Dea Game Cross Efficiency Model

Abstract Data envelopment analysis (DEA), a useful assessment tool, has been used to solve the problem of preference voting and aggregation which require the determination of the weights associated with different ranking places. Instead of applying the same externally imposed weighting scheme to all candidates, DEA models allow each candidate to choose his/her own weights in order to maximize h...

Voting and different ranking orders in DEA

Data Envelopment Analysis (DEA) technique now widely use for efficiency evaluation of a set of Decision Making Units (DMUs). As regards of the necessity for ranking efficient units different DEA models presented each of which has advantages and rank efficient units from special aspects. Note that all the existing ranking models have disadvantages, as well and there is not a model in which all t...

Ranking units in DEA by using the voting system

Multi-Department Employee Performance Evaluation Based on DEA Cross Efficiency

School of Management, University of Science and Technology of China, Hefei, China. ___________________________________________________________________________ Abstract Employee performance evaluation is an important task for performance management, thus efficient employee performance evaluation method is a necessity. This paper proposes to combine Workforce Scorecard and DEA method to evaluate ...

Supplier's Efficiency and Performance Evaluation using DEA-SVM Approach

Supplier evaluation is an important process in supply chain. To our best knowledge, we firstly report a study on supplier classification problem for efficiency and performance in the meanwhile, which is to aim at reducing the risk of enterprises and finding the suppliers with both high efficiency and performance. This paper proposed an integrated model, which hybridized data envelopment analysi...