A New DEA Model for Evaluation of Supply Chains: A Case of Selection and Evaluation of Environmental Efficiency of Suppliers

Supply Chain Management (SCM) represents an example of a complex multi-stage system. The SCM involves and connects different activities, from customer’s orders to received services, all with the aim of satisfying customers. The evaluation of a particular SCM is a complex problem because of the inter...

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Veröffentlicht in:Symmetry (Basel) Jg. 11; H. 4; S. 565
Hauptverfasser: Krmac, Evelin, Djordjević, Boban
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.04.2019
Schlagworte:
Customer satisfaction
Customer services
Customers
Data envelopment analysis
Efficiency
Environmental assessment
Keywords
Linear programming
Literature reviews
Mathematical programming
Methods
Perturbation
Sensitivity analysis
Suppliers
Supply chain management
Supply chains
ISSN:2073-8994, 2073-8994
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Zusammenfassung:Supply Chain Management (SCM) represents an example of a complex multi-stage system. The SCM involves and connects different activities, from customer’s orders to received services, all with the aim of satisfying customers. The evaluation of a particular SCM is a complex problem because of the internally linked hierarchical activities and multiple entities. In this paper, the introduction of a non-radial DEA (Data Envelopment Analysis) model for the evaluation of different components of SCM, primarily in terms of sustainability, is the main contribution. However, in order to confirm the novelty and benefits of this new model in the field of SCM, a literature review of past applications of DEA-based models and methods are also presented. The non-radial DEA model was applied for the selection and evaluation of the environmental efficiency of suppliers considering undesirable inputs and outputs resulting in a better ranking of suppliers. Via perturbation of the data used, behavior, as well as the benefits and weaknesses of the introduced model are presented through sensitivity analysis.
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ISSN:2073-8994
2073-8994
DOI:10.3390/sym11040565