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Dergiler / Alphanumeric Journal / 2020 / Cilt: 8 - Sayı: 1

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

Talip ARSU
Nurullah UMARUSMAN
Sayfa
79–96
Yayın Tarihi
2020-06-30
DOI
—
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In this was it was determined which objective was closer to the global activity achieved.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Öz Adverse effects of packaging waste on the environment and economic losses resulting from the use of untouched resources have made the recycling process compulsory.
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Temel Bulgular & Veri:In this paper, we analyzed the efficiency of 14 collection and separation facilities.
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Sonuç & Katkı:In this was it was determined which objective was closer to the global activity achieved.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Anahtar Kelimeler Data Envelopment Analysis · Multiple Criteria Data Envelopment Analysis · Global Criterion Method

Özet

Öz 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.

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Bu Makaleye Atıf Yap

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, Cilt: 8 - Sayı: 1, 79–96. https://ajindex.com/articles/63484

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Kaynakça (12)

  1. Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 30(9):1078-1092. doi: http://dx.doi.org/10.1287/mnsc.30.9.1078
  2. Bashiri M, Tabrizi MM (2010) Supply chain design: A holistic approach. Expert Systems with Applications 37(1): 688-693. doi: https://doi.org/10.1016/j.eswa.2009.06.006
  3. Boychuk L, Ovchinnikov V (1973) Principal methods of solution of multicriterial optimization problems. Soviet Automatic Control 6:1-4.
  4. Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6): 429-444. doi: https://doi.org/10.1016/0377-2217(78)90138-8
  5. Charnes A, Cooper WW, Golany B, Seiford L, Stutz J (1985) Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. Journal of econometrics 30(1): 91-107. doi: https://doi.org/10.1016/0304-4076(85)90133-2
  6. Charnes A, Cooper WW, Seiford L, Stutz J (1982) A multiplicative model for efficiency analysis. Socio-Economic Planning Sciences 16(5): 223-224. doi: https://doi.org/10.1016/0038-0121(82)90029-5
  7. Cimpan C, Maul A, Wenzel H, Pretz T (2016) Techno-economic assessment of central sorting at material recovery facilities–the case of lightweight packaging waste. Journal of Cleaner Production 112(5): 4387-4397. doi: https://doi.org/10.1016/j.jclepro.2015.09.011
  8. Costa NR, Pereira ZL (2010) Multiple response optimization: a global criterion‐based method. Journal of Chemometrics 24(6): 333-342. doi: https://doi.org/10.1002/cem.1312
  9. Cruz NF, Ferreira S, Cabral M, Simões P, Marques RC (2014) Packaging waste recycling in Europe: is the industry paying for it? Waste management 34(2): 298-308. doi: https://doi.org/10.1016/j.wasman.2013.10.035
  10. Cruz NF, Simões P, Marques RC (2012) Economic cost recovery in the recycling of packaging waste: the case of Portugal. Journal of Cleaner Production 37: 8-18. doi: https://doi.org/10.1016/j.jclepro.2012.05.043
  11. Dace E, Bazbauers G, Berzina A, Davidsen PI (2014) System dynamics model for analyzing effects of eco-design policy on packaging waste management system. Resources, Conservation and Recycling 87: 175-190. doi: https://doi.org/10.1016/j.resconrec.2014.04.004
  12. De Freitas Gomes JH, Júnior ARS, De Paiva AP, Ferreira JR, Da Costa SC, Balestrassi PP (2012) Global criterion method based on principal components to the optimization of manufacturing processes with multiple responses. Strojniški vestnik-Journal of Mechanica