A new DEA model for evaluation of supply chains : a case of selection and evaluation of environmental efficiency of suppliers
ID Krmac, Evelin (Author), ID Đorđević, Boban (Author)

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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.

Keywords:supply chain management, data envelopment analysis, non-radial DEA model, suppliers, efficiency evaluation, environment
Work type:Article (dk_c)
Typology:1.01 - Original Scientific Article
Organization:FPP - Faculty of Maritime Studies and Transport
Publication status in journal:Published
Article version:Publisher's version of article
Number of pages:21 str.
Numbering:Vol. 11, iss. 4, art. 565
ISSN on article:2073-8994
DOI:10.3390/sym11040565 This link opens in a new window
COBISS.SI-ID:2909283 This link opens in a new window
Publication date in RUL:21.10.2021
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Record is a part of a journal

Shortened title:Symmetry
Publisher:Molecular Diversity Preservation International
COBISS.SI-ID:517592345 This link opens in a new window


License:CC BY 4.0, Creative Commons Attribution 4.0 International
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:18.04.2019

Secondary language

Keywords:upravljanje oskrbovalnih verig, podatkovne analize, dobavitelji, vrednotenje učinkovitosti, okolje, DEA modeli

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