@Article{AJ_2020.08.01.OR.04,
    doi     = { 10.17093/alphanumeric.625946 },
    author  = { Talip Arsu and Nurullah Umarusman },
    title   = { Global Criterion Approach for the Solution of Multiple Criteria Data Envelopment Analysis Model: An Application at Packaging Waste Collection and Separation Facilities },
    abstract = { 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. }
    journal = { Alphanumeric Journal },
    year    = { 2020 },
    volume  = { 8 },
    number  = { 1 },
    pages   = { 79-96 },
    url     = { https://alphanumericjournal.com/article/global-criterion-approach-for-the-solution-of-multiple-criteria-data-envelopment-analysis-model-an-application-at-packaging-waste-collection-and-separation-facilities },
}