Yavari, F., Hosseini-Yekani, S., Mardani Najafabadi, M. (2021). Application of Robust Data Envelopment Analysis to Estimate Technical Efficiency, A case study: Large-scale broiler Farms of sari city. , 29(2), 1-28. doi: 10.30490/aead.2021.297704.1077
F. Yavari; S.A. Hosseini-Yekani; Mostafa Mardani Najafabadi. "Application of Robust Data Envelopment Analysis to Estimate Technical Efficiency, A case study: Large-scale broiler Farms of sari city". , 29, 2, 2021, 1-28. doi: 10.30490/aead.2021.297704.1077
Yavari, F., Hosseini-Yekani, S., Mardani Najafabadi, M. (2021). 'Application of Robust Data Envelopment Analysis to Estimate Technical Efficiency, A case study: Large-scale broiler Farms of sari city', , 29(2), pp. 1-28. doi: 10.30490/aead.2021.297704.1077
Yavari, F., Hosseini-Yekani, S., Mardani Najafabadi, M. Application of Robust Data Envelopment Analysis to Estimate Technical Efficiency, A case study: Large-scale broiler Farms of sari city. , 2021; 29(2): 1-28. doi: 10.30490/aead.2021.297704.1077

Application of Robust Data Envelopment Analysis to Estimate Technical Efficiency, A case study: Large-scale broiler Farms of sari city

اقتصاد کشاورزی و توسعه
Volume 29, Issue 2 - Serial Number 114, September 2021, Pages 1-28    PDF (782.47 K)
Document Type: Original Article
DOI: 10.30490/aead.2021.297704.1077
Authors
F. Yavari1; S.A. Hosseini-Yekani* 2; Mostafa Mardani Najafabadi3
1PhD Student in Agricultural Economics, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran
2Associate Professor, Department of Agricultural Economics, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran
3Assistant Professor, Department of Agricultural Extension and Education, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran
Abstract
Non-certainty is a prominent feature of real world issues. Since the change in the input data, though small, can dramatically change the results of the DEA models, applying ways to deal with non-certainty is an inevitable aspect of the use of these models. Therefore, in this research, the combination of robust optimization with Data Envelopment Analysis was used to study the technical efficiency of broiler farms with the capacity of over 30,000 broilers in Sari city. The results of Robust Data Envelopment Analysis model indicate that in the given uncertainty level (ε=0.1), as the level of conservatism increases from 0 to 8, the average of efficiency scores decreases from 96 to 93 percent and the number of efficient farms decrease from 23 to 18 farms. In addition, the greatest difference between the amount of optimal and actual consumption of inputs belongs to the cost of taking drugs and vaccines. Given that the largest part of drugs and vaccines costs are spent when a disease spreads, Applying appropriate policies to prevent the spread of epidemic diseases such as choosing healthy broilers in the same age, using proper nutrition, providing comfortable aviary, choosing proper density of broilers, dissolving the carcasses of ill broilers, using disinfectants properly and also using experts to determine the appropriate time and amount of drugs and vaccines can greatly help to enhance the efficiency of inefficient farms.
Keywords
Robust Optimization; Data Envelopment Analysis; Sari City; Broiler; RDEA
References
  1. Abdi, E., Dashti, G., Ghahremanzadeh, M. and Hosseinzad, J. (2016). Analyzing the technical efficiency and technology gap of poultry units in Sanandaj county. Journal of Animal Science Researches, 26(3): 49-61. (Persian)
  2. Atici, K.B. and Gülpinar, N. (2016). Robust DEA approaches to performance evaluation of olive oil production under uncertainty. In: Robustness analysis in decision aiding, optimization, and analytics (pp. 299-318). Springer.
  3. Babaei, M., Paknejad, H., Mardani, M. and Salarpour, M. (2012). Evaluating crop efficiency of Jahrom city using Interval Data Envelopment Analysis (IDEA). Journal of Operations Research Applications, 35: 43-53. (Persian)
  4. Ben-Tal, A., El Ghaoui, L. and Nemirovski, A. (2009). Robust optimization (Vol. 28). Princeton University Press.
  5. Ben-Tal, A. and Nemirovski, A. (1998). Robust convex optimization. Mathematics of Operations Research, 23(4): 769-805.
  6. Bertsimas, D. and Sim, M. (2004). The price of robustness. Operations Research, 52(1): 35-53.
  7. Charnes, A., Cooper, W.W. and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6): 429-444.
  8. Chebil, A., Abbas, K. and Frija, A. (2014). Water use efficiency in irrigated wheat production systems in central Tunisia: a stochastic data envelopment approach. Journal of Agricultural Science (Toronto), 6(2): 63-71.
  9. Esfahani, S. and Khazaei, J. (2011). Factors affecting the efficiency of broiler producers in South Khorasan province. Journal of Agricultural Economics Research, 2(4): 165-180. (Persian)
  10. FAO (2014). FAO in the Islamic Republic of Iran. Food and Agriculture Organization FAO) of the United Nations Available at http://www.fao.org/publications/sofa/2014/en.
  11. Houshyar, E., Azadi, H., Almassi, M., Davoodi, M.J.S. and Witlox, F. (2012). Sustainable and efficient energy consumption of corn production in Southwest Iran: combination of multi-fuzzy and DEA modeling. Energy, 44(1): 672-681.
  12. Inuiguchi, M. and Sakawa, M. (1998). Robust optimization under softness in a fuzzy linear programming problem. International Journal of Approximate Reasoning, 18(1): 21-34.
  13. Karimov, A. (2013). Productive efficiency of potato and melon growing farms in Uzbekistan: a two stage double bootstrap data envelopment analysis. Agriculture, 3(3): 503-515.
  14. Mardani, M., Sargazi, A. and Sabouhi Sabouni, M. (2013). Determination of the efficiency of Sistan wheat farms using incorporation of optimization model with degree of conservatism control parameters and Robust Data Envelopment Analysis (RDEA). Journal of Economics and Agricultural Development, 27(3): 180-187. (Persian)
  15. Mardani, M. and Ziyaee, S. (2016). Determining the efficiency of irrigated wheat Farmsin Neyshabur County under uncertainty. Agricultural Economics and Development, 30(2): 136-147. (Persian)
  16. Minh, N.K. and Van Khanh, P. (2011). A chance-constrained data envelopment analysis approach to problem provincial productivity growth in Vietnamese agriculture from 1995 to 2007. Open Journal of Statistics, 1(03): 217.
  17. MOAJ (2016). Livestock statistics of Mazandaran province. Mazandaran Organization of Agriculture-Jahad (MOAJ). Available at http://jkmaz.ir
  18. Mulvey, J.M., Vanderbei, R.J. and Zenios, S.A. (1995). Robust optimization of large-scale systems. Operations Research, 43(2): 264-281.
  19. OAJ (2016). Statistical yearbook of agriculture. Organization of Agriculture-Jahad (OAJ). Available at http://amar.maj.ir
  20. Ommar, M.A.E. (2014). Technical and economic efficiency for broiler farms in Egypt: application of Data Envelopment Analysis (DEA). Global Veterinaria, 12(5): 588-593.
  21. Omrani, H. (2013). Robust data envelopment analysis model with fuzzy perturbation in inputs and outputs. International Journal of Industrial and Systems Engineering, 15(4): 426-442.
  22. Pan, F. and Nagi, R. (2010). Robust supply chain design under uncertain demand in agile manufacturing. Computers and Operations Research, 37(4): 668-683.
  23. Payandeh, Z., Kheiralipour, K. and Karimi, M. (2016). An evaluation of energy efficiency of broiler production farms using data envelopment analysis (DEA) technique, case study: Isfahan province. Iranian Journal of Biosystems Engineering (Agricultural Sciences), 47(3): 577-585. (Persian)
  24. Pishvaee, M.S. and Khalaf, M.F. (2016). Novel robust fuzzy mathematical programming methods. Applied Mathematical Modelling, 40(1): 407-418.
  25. Sabouhi, M. and Mardani, M. (2017). Linear robust data envelopment analysis: CCR model with uncertain data. International Journal of Productivity and Quality Management, 22(2): 262-280.
  26. Sadrnia, H., Khojastehpour, M., Aghel, H. and Olya, A.S.R. (2017). Analysis of different inputs share and determination of energy Indices in broilers production in Mashhad County. Journal of Agricultural Machinery, 7(1): 285-297. (Persian)
  27. SCI (2016). Statistics of the number and production of poultry units in Mazandaran province of Iran. Tehran: Statistical Center of Iran (SCI). Available at https://www.amar.org.ir
  28. Sefeedpari, P., Rafiee, Sh., Akram, A. and Mousavi-Avval, S. (2012). Application of fuzzy data envelopment analysis for ranking dairy farms in the view of energy efficiency. Journal of Animal Production Advances, 2(6): 284-294.
  29. Soyster, A.L. (1973). Convex programming with set-inclusive constraints and applications to inexact linear programming. Operations Research, 21(5): 1154-1157.
Statistics
Article View: 1,044
PDF Download: 552


counter
Journal management system. designed by sinaweb