Turbofan Aero-Engine Efficiency Evaluation: An Integrated Approach Using VSBM Two-Stage Network DEA Angelos T. Kottas1, Michail N. Bozoudis2 Michael A. Madas3* 1 Aristotle University of Thessaloniki, School of Economic Sciences, MSc Programme in Logistics and Supply Chain Management University Campus, 54124, Thessaloniki, Greece
[email protected] 2 NATO Communications and Information Agency (NCIA) Boulevard Leopold III, 1110 Brussels, Belgium
[email protected] 3 University of Macedonia, Department of Applied Informatics Information Systems and e-Business Laboratory (ISeB) 156, Egnatia Str., 54636, Thessaloniki, Greece
[email protected] *Corresponding author Abstract The application of Data Envelopment Analysis (DEA) has been wide, especially for the purpose of evaluating efficiency among similar production processes within enterprises belonging to particular industries. Although research pertinent to DEA has primarily focused on efficiency of production systems or corporate entities/organizations (e.g., terminals, hospitals, universities/schools, banks), fairly little attention has been given to efficiency evaluation among engineering systems featuring common configurations (e.g., automobiles, power plants). Furthermore, the limited previous literature involving efficiency evaluation of engineering systems has implemented DEA methodologies with limited discriminatory power, i.e. there is a quite increased portion of efficient Decision Making Units (DMUs). In the current paper, a methodological framework deploying Variable