Negative data in DEA : recognizing congestion and specifying the least and the most congested decision making units
Mohammad Khoveyni, Robabeh Eslami, Guo-liang Yang
| Year of publication: |
March 2017
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| Authors: | Khoveyni, Mohammad ; Eslami, Robabeh ; Yang, Guo-liang |
| Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 79.2017, p. 39-48
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| Subject: | Data envelopment analysis (DEA) | Strong and weak congestion | Negative data in DEA | Slack variables | Mixed integer programming (MIP) model | Data-Envelopment-Analyse | Data envelopment analysis | Theorie | Theory | Engpass | Bottleneck | Mathematische Optimierung | Mathematical programming | Technische Effizienz | Technical efficiency | Entscheidung | Decision | Verkehrsstau | Traffic congestion |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2016.09.002 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011672829