• ISSN: 2148-2225 (online)

Ulaştırma ve Lojistik Kongreleri

alphanumeric journal

The Journal of Operations Research, Statistics, Econometrics and Management Information Systems

Global Criterion Approach for the Solution of Multiple Criteria Data Envelopment Analysis Model: An Application at Packaging Waste Collection and Separation Facilities


Talip Arsu, Ph.D.

Nurullah Umarusman, Ph.D.


Adverse effects of packaging waste on the environment and economic losses resulting from the use of untouched resources have made the recycling process compulsory. The success of the collection and separation of packaging waste, which are the most important phases in the recycling process, depends on the effective management of these processes. In this paper, we analyzed the efficiency of 14 collection and separation facilities. A Global- Multiple Criteria Data Envelopment Analysis model (G-MCDEA) based on a global criterion method was proposed for the solution of the multiple criteria data envelopment analysis model, which is organized as a three-objective multiple objective linear programming model. With the proposed model, the three objective functions were transformed into a single objective function, and the normalized grades of the distance from the ideal solution was calculated for each decision making unit. In this was it was determined which objective was closer to the global activity achieved.

Keywords: Data Envelopment Analysis, Global Criterion Method, Global- Multiple Criteria Data Envelopment Analysis, Multiple Criteria Data Envelopment Analysis, Packaging Waste

Jel Classification: C63

Suggested citation

Arsu, T. & Umarusman, N. (). Global Criterion Approach for the Solution of Multiple Criteria Data Envelopment Analysis Model: An Application at Packaging Waste Collection and Separation Facilities. Alphanumeric Journal, 8(1), 79-96. https://doi.org/10.17093/alphanumeric.625946


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Volume 8, Issue 1, 2020


alphanumeric journal

Volume 8, Issue 1, 2020

Pages 79-96

Received: Sept. 27, 2019

Accepted: June 27, 2020

Published: June 30, 2020

Full Text [748.6 KB]

2020 Arsu, T., Umarusman, N.

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