Halkos, George and Tzeremes, Nickolaos and Kourtzidis, Stavros (2011): The use of supply chain DEA models in operations management: A survey.
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Abstract
Standard Data Envelopment Analysis (DEA) approach is used to evaluate the efficiency of DMUs and treats its internal structures as a “black box”. The aim of this paper is twofold. The first task is to survey and classify supply chain DEA models which investigate these internal structures. The second aim is to point out the significance of these models for the decision maker of a supply chain. We analyze the simple case of these models which is the two-stage models and a few more general models such as network DEA models. Furthermore, we study some variations of these models such as models with only intermediate measures between first and second stage and models with exogenous inputs in the second stage. We define four categories: typical, relational, network and game theoretic DEA models. We present each category along with its mathematical formulations, main applications and possible connections with other categories. Finally, we present some concluding remarks and opportunities for future research.
Item Type: | MPRA Paper |
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Original Title: | The use of supply chain DEA models in operations management: A survey |
Language: | English |
Keywords: | Supply chain; Data envelopment analysis; Two-stage structures; Network structures |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C70 - General |
Item ID: | 31846 |
Depositing User: | Nickolaos Tzeremes |
Date Deposited: | 26 Jun 2011 10:19 |
Last Modified: | 26 Sep 2019 18:52 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/31846 |