If a DEA model has a mix of categorical and continuous variables a standard LP formulation can still be used by entering all combinations of categorical and continuous variables as different types of inputs and/or outputs. Most units will then not have positive levels of all variables. The implications for selection of peers are investigated. Peers can have the same or fewer types of inputs tha...
:European Journal of Operational Research2009
José H. Dulá,
Anchor points play an important role in DEA theory and application. They define the transition from the efficient frontier to the “free-disposability” portion of the boundary. Our objective is to use the geometrical properties of anchor points to design and test an algorithm for their identification. We focus on the variable returns to scale production possibility set; our results do not depend...
As the most important responsibility of purchasing management, the problem of vendor evaluation and selection has always received a great deal of attention from practitioners and researchers. This management decision is a challenge due to the complexity and various criteria involved. This paper presents a hybrid model using data envelopment analysis (DEA), decision trees (DT) and neural network...
:European Journal of Operational Research2014
Biresh K. Sahoo,
Bernhard M. Klemen,
The constant returns to scale assumption maintained by neoclassical theorists for justifying the black-box structure of production technology in long run does not necessarily allow one to infer that there are no scale benefits available in its sub-technologies. Most of real-life production technologies are multi-stage in nature, and the sources of increasing returns lie in the sub-technologies....
:European Journal of Operational Research2016
In Chen, Cook, Kao, and Zhu (2013), it is demonstrated, as a network DEA pitfall, that while the multiplier and envelopment DEA models are dual models and equivalent under the standard DEA, such is not necessarily true for the two types of network DEAmodels in deriving divisional efficiency scores and frontier projections. As a reaction to this work, we demonstrate that the duality in the stand...
The main motivation of this article is to illustrate dynamic network data envelopment analysis (DN-DEA) in commercial banking with emphasis on testing robustness. To this end, sixteen foreign banks in China are benchmarked against thirty-two domestic banks for the post-2007 period that follows major reforms. When network and dynamic dimensions are brought together, a more comprehensive analysis...
Introduction Collaborative innovation is a trans-disciplinary approach for developing the wholeness synergy to improve the competitiveness of an organization through holistic, competitive and complementary interactions between and among innovation participants in a specific environment (Bommert, 2010; Swink, 2006). The collaborative innovation system essentially consists of three sectors: indus...
:European Journal of Operational Research2017
Roohollah Abbasi Shureshjani,
Ali Asghar Foroughi,
Data envelopment analysis (DEA) is a technique for performance evaluation of peer decision making units (DMUs). The network DEA models study the internal structures of DMUs. Using two-stage network structures as an example, the current paper examines additive efficiency decomposition where the overall efficiency is defined as a weighted average of stage efficiencies and the weights are used to ...
Sonia Valeria Aviles-Sacoto,
Wade D. Cook,
UT HO R CO PY Two-stage network DEA: when intermediate measures can be treated as outputs from the second stage Sonia Aviles-Sacoto, Wade D Cook*, Raha Imanirad and Joe Zhu Doctoral Program in Engineering Sciences, ITESM-Monterrey, Mexico; Schulich School of Buisness, York University, Toronto, Canada M3J1P3; Doctoral Program, Harvard Business School, Soldiers Field, Boston, MA 02163; and Intern...
An appropriate performance measurement system is an important requirement for the effective management of a supply chain. Because of the existence of the intermediate measures connecting the supply chain members, conventional data envelopment analysis (DEA) cannot be utilized directly to measure the performance of supply chain and its members. This paper evaluated the performance of supply chai...