Araştırma Makalesi
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Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors

Yıl 2020, , 55 - 81, 27.05.2020
https://doi.org/10.26650/JTL.2020.0007

Öz

The purpose of this research is to assess the efficiency and productivity of 51 water bottling distributors based on DEA (Data Envelopment Analysis) approaches that were evaluated between 2012 and 2013, as per 5 variables, these being sales, staff, distance, size, and capex. We got different results from the initial assumptions after the analysis. Big cities distributors’ efficiencies are better than the small cities and town distributors. The time period was selected because of the global conflict, war in Syria, Turkish government policies, accepting the war refugees and the other reasons, natural and environmental. According to the research results, some suggestions have been made for the managers of the distributors.

Kaynakça

  • Bigne, E., & Blesa, A. (2003). Market orientation, trust and satisfaction in dyadic relationships: a manufacturerretailer analysis. International Journal of Retail & Distribution Management, 31(11), 574-590.
  • Chen, F. Y., Wang, T., & Xu, T. Z. (2005). Integrated inventory replenishment and temporal shipment consolidation: A comparison of quantity-based and time-based models. Annals of Operations Research, 135(1), 197-210.
  • Cooper, W. W. (2007). Seiford. LM and Tone, K.(2000) Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software.
  • Cooper, W. W. vd.(2000),“Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEASolver Software”.
  • Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data envelopment analysis: History, models, and interpretations. In Handbook on data envelopment analysis (pp. 1-39). Springer, Boston, MA.
  • Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data envelopment analysis: History, models, and interpretations. In Handbook on data envelopment analysis (pp. 1-39). Springer, Boston, MA.
  • De Souza, M. M. M. &. F., April-June 2010. ‘Performance of Brazilian supermarket companies: a Data Envelopment Analysis approach/Desempenho organizacional setor supermercadista. Faculdade de Economia, Administracao e Contabilidade, 17(2), pp. p151, 17.
  • Diaz-Balteiro, L., Herruzo, A. C., Martinez, M., & González-Pachón, J. (2006). An analysis of productive efficiency and innovation activity using DEA: An application to Spain’s wood-based industry. Forest Policy and Economics, 8(7), 762-773.
  • Emrouznejad, A., 2012. www.deazone.com. [Online] Available at: http://deazone.com/en/cooper-framework/ cooperframework-phase4 [Accessed 06 03 2018].
  • Fare, R., Grosskopf, S., & Lovell, C. (1993). Frontmatter. In Production Frontiers (pp. I-Viii). Cambridge: Cambridge University Press.
  • Farrell, M., 1957. The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 3(1), pp. 253-290 .
  • Favero, C. A., & Papi, L. (1995). Technical efficiency and scale efficiency in the Italian banking sector: a non-parametric approach. Applied economics, 27(4), 385-395.
  • Ross, A., & Droge, C. (2002). An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management, 20(1), 19-32.
  • Dos Santos, R. F., Marins, F. A. S., Alves, J. M., & Moellmann, A. H. (2010). A real application of the theory of constraints to supply chain management in Brazil. Brazilian Journal of Operations & Production Management, 7(2), 81-100.
  • Seiford, L. M., & Thrall, R. M. (1990). Recent developments in DEA: the mathematical programming approach to frontier analysis. Journal of econometrics, 46(1-2), 7-38.
  • Walden, J., & Kirkley, J. E. (2000). Measuring technical efficiency and capacity in fisheries by data envelopment analysis using the General Algebraic Modeling System (GAMS): A workbook. US Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Northeast Region, Northeast Fisheries Science Center.
  • William W. Cooper, L. M. S. a. J. Z., 2005. History, Models and Interpretations. DATA ENVELOPMENT ANALYSIS, XIII(8), p. 1266.

Veri Zarflama Analizini Yöntemi Kullanarak Su Distribütörlerinin Etkinliğinin Ölçümlenmesi

Yıl 2020, , 55 - 81, 27.05.2020
https://doi.org/10.26650/JTL.2020.0007

Öz

Bu araştırmanın amacı, bir su fabrikasının 51 tane dağıtıcısının 2012 ve 2013 yılları arasındaki verilerini 5 farklı değişken (satışlar, personel sayısı, firma ile dağıtıcı arasındaki uzaklık, depo büyüklüğü ve diğer kuruluş maliyetleri) yardımıyla Veri Zarflama Analizi yöntemi (VZA) kullanarak dağıtıcıların etkinliğini ve verimliliği değerlendirmektir. Analizden sonra ilk varsayımlardan farklı sonuçlar aldık. Büyük şehirlerin distribütörlerinin verimliliği küçük şehirlerden ve kasaba distribütörlerinden daha iyi olduğu sonucuna varıldı. Küresel çatışma, Suriye’deki savaş, Türk hükümeti politikaları, savaş mültecilerini kabul etme ve diğer doğal ve çevresel nedenlerden dolayı 2012 ve 2013 yılları seçildi. Analiz sonuçlarına göre dağıtıcıların yöneticilerine etkinliklerini ve verimliliklerini artırıcı bazı önerilerde bulunuldu.

Kaynakça

  • Bigne, E., & Blesa, A. (2003). Market orientation, trust and satisfaction in dyadic relationships: a manufacturerretailer analysis. International Journal of Retail & Distribution Management, 31(11), 574-590.
  • Chen, F. Y., Wang, T., & Xu, T. Z. (2005). Integrated inventory replenishment and temporal shipment consolidation: A comparison of quantity-based and time-based models. Annals of Operations Research, 135(1), 197-210.
  • Cooper, W. W. (2007). Seiford. LM and Tone, K.(2000) Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software.
  • Cooper, W. W. vd.(2000),“Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEASolver Software”.
  • Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data envelopment analysis: History, models, and interpretations. In Handbook on data envelopment analysis (pp. 1-39). Springer, Boston, MA.
  • Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data envelopment analysis: History, models, and interpretations. In Handbook on data envelopment analysis (pp. 1-39). Springer, Boston, MA.
  • De Souza, M. M. M. &. F., April-June 2010. ‘Performance of Brazilian supermarket companies: a Data Envelopment Analysis approach/Desempenho organizacional setor supermercadista. Faculdade de Economia, Administracao e Contabilidade, 17(2), pp. p151, 17.
  • Diaz-Balteiro, L., Herruzo, A. C., Martinez, M., & González-Pachón, J. (2006). An analysis of productive efficiency and innovation activity using DEA: An application to Spain’s wood-based industry. Forest Policy and Economics, 8(7), 762-773.
  • Emrouznejad, A., 2012. www.deazone.com. [Online] Available at: http://deazone.com/en/cooper-framework/ cooperframework-phase4 [Accessed 06 03 2018].
  • Fare, R., Grosskopf, S., & Lovell, C. (1993). Frontmatter. In Production Frontiers (pp. I-Viii). Cambridge: Cambridge University Press.
  • Farrell, M., 1957. The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 3(1), pp. 253-290 .
  • Favero, C. A., & Papi, L. (1995). Technical efficiency and scale efficiency in the Italian banking sector: a non-parametric approach. Applied economics, 27(4), 385-395.
  • Ross, A., & Droge, C. (2002). An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management, 20(1), 19-32.
  • Dos Santos, R. F., Marins, F. A. S., Alves, J. M., & Moellmann, A. H. (2010). A real application of the theory of constraints to supply chain management in Brazil. Brazilian Journal of Operations & Production Management, 7(2), 81-100.
  • Seiford, L. M., & Thrall, R. M. (1990). Recent developments in DEA: the mathematical programming approach to frontier analysis. Journal of econometrics, 46(1-2), 7-38.
  • Walden, J., & Kirkley, J. E. (2000). Measuring technical efficiency and capacity in fisheries by data envelopment analysis using the General Algebraic Modeling System (GAMS): A workbook. US Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Northeast Region, Northeast Fisheries Science Center.
  • William W. Cooper, L. M. S. a. J. Z., 2005. History, Models and Interpretations. DATA ENVELOPMENT ANALYSIS, XIII(8), p. 1266.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Araştırma Makalesi
Yazarlar

Uğur Arcagök Bu kişi benim 0000-0002-4469-9525

Yayımlanma Tarihi 27 Mayıs 2020
Gönderilme Tarihi 22 Şubat 2020
Kabul Tarihi 12 Mart 2020
Yayımlandığı Sayı Yıl 2020

Kaynak Göster

APA Arcagök, U. (2020). Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors. Journal of Transportation and Logistics, 5(1), 55-81. https://doi.org/10.26650/JTL.2020.0007
AMA Arcagök U. Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors. JTL. Mayıs 2020;5(1):55-81. doi:10.26650/JTL.2020.0007
Chicago Arcagök, Uğur. “Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors”. Journal of Transportation and Logistics 5, sy. 1 (Mayıs 2020): 55-81. https://doi.org/10.26650/JTL.2020.0007.
EndNote Arcagök U (01 Mayıs 2020) Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors. Journal of Transportation and Logistics 5 1 55–81.
IEEE U. Arcagök, “Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors”, JTL, c. 5, sy. 1, ss. 55–81, 2020, doi: 10.26650/JTL.2020.0007.
ISNAD Arcagök, Uğur. “Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors”. Journal of Transportation and Logistics 5/1 (Mayıs 2020), 55-81. https://doi.org/10.26650/JTL.2020.0007.
JAMA Arcagök U. Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors. JTL. 2020;5:55–81.
MLA Arcagök, Uğur. “Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors”. Journal of Transportation and Logistics, c. 5, sy. 1, 2020, ss. 55-81, doi:10.26650/JTL.2020.0007.
Vancouver Arcagök U. Using Data Envelopment Analysis for Measuring the Efficiency of Water Bottling Distributors. JTL. 2020;5(1):55-81.



The JTL is being published twice (in April and October of) a year, as an official international peer-reviewed journal of the School of Transportation and Logistics at Istanbul University.