Year 2020, Volume 8 , Issue 1, Pages 79 - 96 2020-06-30

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

Talip ARSU [1] , Nurullah UMARUSMAN [2]

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.

Data Envelopment Analysis, Multiple Criteria Data Envelopment Analysis, Global Criterion Method, Global- Multiple Criteria Data Envelopment Analysis, Packaging Waste
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Primary Language en
Subjects Operations Research and Management Science
Journal Section Articles

Orcid: 0000-0002-2580-166X
Author: Talip ARSU (Primary Author)
Country: Turkey

Orcid: 0000-0001-6535-5329
Author: Nurullah UMARUSMAN
Country: Turkey


Application Date : September 27, 2019
Acceptance Date : June 27, 2020
Publication Date : June 30, 2020

APA Arsu, T , Umarusman, N . (2020). 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 . DOI: 10.17093/alphanumeric.625946