Vol. 3 No. 5-6 (2009)
Articles

Examination of pig farm technology by computer simulation

Published December 30, 2009
Szilvia Szőke
University of Debrecen, Centre for Agricultural Sciences and Engineering Department of Economic Analysis and Statistics
Lajos Nagy
University of Debrecen, Centre for Agricultural Sciences and Engineering Department of Economic Analysis and Statistics
Sándor Kovács
University of Debrecen, Centre for Agricultural Sciences and Engineering Department of Economic Analysis and Statistics
Péter Balogh
University of Debrecen, Centre for Agricultural Sciences and Engineering Department of Economic Analysis and Statistics
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APA

Szőke, S. ., Nagy, . L. ., Kovács , S., & Balogh, . P. . (2009). Examination of pig farm technology by computer simulation. Applied Studies in Agribusiness and Commerce, 3(5-6), 25-29. https://doi.org/10.19041/APSTRACT/2009/5-6/4

Agricultural production is among the riskiest production activities. Similarly to other branches of agriculture in animal breeding the finished product is the result of complex procedures. The biological technological procedure, the creation of the product is affected by an outstanding number of environmental factors which also cause uncertainties. In the North Great Plain Region of Hungary, sows, gilts and slaughter pigs are produced on a corporate farm. The reliable operation data of this company provide a stable basis for and estimating future costs and revenue and their distributions. Monte Carlo methods are one of the generally accepted tools for modeling risks. The significant independent variables, their ranges and probability distributions, and the correlation between them were inputs to the model. The values of the variables were produced using a random number generator. The computer simulation was performed using @Ris (PalisadeCorporation) software. The study concentrates on the factors affecting the number of off spring (piglets). Model inputs were the mating, mortality and farrowing rates; the costs and the income values based on these rates have been analysed as the output data of the model.