Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate

Detalhes bibliográficos
Autor(a) principal: da Silva, Rodrigo Medeiros
Data de Publicação: 2017
Outros Autores: Taveira, Rodrigo Zaiden, Vaz, Fabiano Nunes, Fabricio, Edom de Avila, Miollo, Josiane Rodrigues, Camera, Angelina, Pacheco, Paulo Santana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/33608
Resumo: The economic viability of feedlot zebu bulls, slaughtered at 450 kg after 90 days of feeding with diets consisting of different proportions of concentrate in dry matter (40, 60 or 80%), was estimated using Monte Carlo simulations, with or without the inclusion of Spearman rank correlations among random input variables, stochastic dominance (DOM) and sensitivity analysis (SENS). The roughage used was chopped sugar cane. Cash flow with indicators of performance, and probability distributions of all items of cost and revenue (from 2003 to 2014), were used to stimulate net present value (NPV), the financial indicator. Latin hypercube sampling and a Mersenne Twister random number generator were employed for the simulation with 2000 interactions. The risk was found to be more accurately estimated when correlations between random input variables were included (probability of NPV ≥ 0 ± standard deviation was 35 ± 166.05% and 31 ± 139.75% for the simulation without and with correlation, respectively). Considering this result, DOM and SENS were only carried out including these correlations. The expected value for NPV was similar between the different levels of concentrate (average USD -62/animal and NPV ≥ 0 of 33%) according to DOM analysis of simulations including correlations. From the SENS analysis, the final weight, finished cattle price, feeder cattle price and initial weight were the items with the greatest influence on NPV, regardless of the level of concentrate used, followed by intake and the cost-related items of diet and minimum rate of attractiveness. Based on the results obtained by simulation, the direct benefit of feedlot could be classified as high risk, suggesting the increased use of Monte Carlo simulation for decision-making.
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spelling Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate Simulação estocástica da viabilidade econômica do confinamento de novilhos alimentados com diferentes proporções de concentradoInvestment analysisInvestment projectProbabilistic analysisStochastic methodRank correlationAgricultural SciencesThe economic viability of feedlot zebu bulls, slaughtered at 450 kg after 90 days of feeding with diets consisting of different proportions of concentrate in dry matter (40, 60 or 80%), was estimated using Monte Carlo simulations, with or without the inclusion of Spearman rank correlations among random input variables, stochastic dominance (DOM) and sensitivity analysis (SENS). The roughage used was chopped sugar cane. Cash flow with indicators of performance, and probability distributions of all items of cost and revenue (from 2003 to 2014), were used to stimulate net present value (NPV), the financial indicator. Latin hypercube sampling and a Mersenne Twister random number generator were employed for the simulation with 2000 interactions. The risk was found to be more accurately estimated when correlations between random input variables were included (probability of NPV ≥ 0 ± standard deviation was 35 ± 166.05% and 31 ± 139.75% for the simulation without and with correlation, respectively). Considering this result, DOM and SENS were only carried out including these correlations. The expected value for NPV was similar between the different levels of concentrate (average USD -62/animal and NPV ≥ 0 of 33%) according to DOM analysis of simulations including correlations. From the SENS analysis, the final weight, finished cattle price, feeder cattle price and initial weight were the items with the greatest influence on NPV, regardless of the level of concentrate used, followed by intake and the cost-related items of diet and minimum rate of attractiveness. Based on the results obtained by simulation, the direct benefit of feedlot could be classified as high risk, suggesting the increased use of Monte Carlo simulation for decision-making.Estimou-se o risco da viabilidade econômica do confinamento de bovinos zebuínos abatidos com 450 kg após 90 dias de alimentação, com dietas com diferentes proporções de concentrado na matéria seca (40, 60 ou 80%), utilizando simulação de Monte Carlo associado ou não com o uso de correlação de Spearman entre as variáveis aleatórias de entrada, dominância estocástica (DOM) e análise de sensibilidade (SENS). O volumoso utilizado foi cana-de-açúcar picada. Para a simulação do indicador financeiro Valor Presente Líquido (VPL), foi utilizado fluxo de caixa com indicadores de desempenho e distribuição de probabilidade de todos os itens de custos e receitas (anos de 2003 a 2014). Amostragem de Hipercubo Latino e gerador de números aleatórios Mersenne Twister foram utilizados para a simulação com 2.000 interações. O risco foi estimado com maior precisão incluindo correlações entre variáveis aleatórias de entrada (probabilidades de VPL ≥ 0 ± desvio padrão foram 35 ± 166,05% and 31 ± 139,75% para a simulação com e sem correlação, respectivamente). A partir deste resultado, DOM e SENS foram realizadas apenas com correlação entre variáveis aleatórias de entrada. O valor esperado para VPL foi semelhante entre os diferentes níveis de concentrado (média de USD -62 / animal e VPL ≥ 0 de 33%), de acordo com a análise de DOM das simulações com correlação. Na SENS, independentemente do nível de concentrado usado, o peso final, os preços do boi gordo e magro e peso inicial foram os itens mais importantes a influenciar o VPL, seguido de consumo da dieta, preços da dieta e taxa mínima de atratividade. Com base nos resultados de simulação, poderia ser classificado o benefício direto de confinamento como de alto risco, sugerindo a expansão dos estudos com uso da técnica de simulação de Monte Carlo na tomada de decisões.EDUFU2017-02-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3360810.14393/BJ-v33n1a2017-33608Bioscience Journal ; Vol. 33 No. 1 (2017): Jan./Feb.; 125-134Bioscience Journal ; v. 33 n. 1 (2017): Jan./Feb.; 125-1341981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/33608/19758Brazil; ContemporaryCopyright (c) 2017 Rodrigo Medeiros da Silva, Rodrigo Zaiden Taveira, Fabiano Nunes Vaz, Edom de Avila Fabricio, Josiane Rodrigues Miollo, Angelina Camera, Paulo Santana Pachecohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessda Silva, Rodrigo MedeirosTaveira, Rodrigo ZaidenVaz, Fabiano NunesFabricio, Edom de AvilaMiollo, Josiane RodriguesCamera, AngelinaPacheco, Paulo Santana2022-02-16T13:44:16Zoai:ojs.www.seer.ufu.br:article/33608Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-16T13:44:16Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate
Simulação estocástica da viabilidade econômica do confinamento de novilhos alimentados com diferentes proporções de concentrado
title Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate
spellingShingle Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate
da Silva, Rodrigo Medeiros
Investment analysis
Investment project
Probabilistic analysis
Stochastic method
Rank correlation
Agricultural Sciences
title_short Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate
title_full Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate
title_fullStr Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate
title_full_unstemmed Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate
title_sort Stochastic simulation of the economic viability of feedlot steers fed with different proportions of concentrate
author da Silva, Rodrigo Medeiros
author_facet da Silva, Rodrigo Medeiros
Taveira, Rodrigo Zaiden
Vaz, Fabiano Nunes
Fabricio, Edom de Avila
Miollo, Josiane Rodrigues
Camera, Angelina
Pacheco, Paulo Santana
author_role author
author2 Taveira, Rodrigo Zaiden
Vaz, Fabiano Nunes
Fabricio, Edom de Avila
Miollo, Josiane Rodrigues
Camera, Angelina
Pacheco, Paulo Santana
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv da Silva, Rodrigo Medeiros
Taveira, Rodrigo Zaiden
Vaz, Fabiano Nunes
Fabricio, Edom de Avila
Miollo, Josiane Rodrigues
Camera, Angelina
Pacheco, Paulo Santana
dc.subject.por.fl_str_mv Investment analysis
Investment project
Probabilistic analysis
Stochastic method
Rank correlation
Agricultural Sciences
topic Investment analysis
Investment project
Probabilistic analysis
Stochastic method
Rank correlation
Agricultural Sciences
description The economic viability of feedlot zebu bulls, slaughtered at 450 kg after 90 days of feeding with diets consisting of different proportions of concentrate in dry matter (40, 60 or 80%), was estimated using Monte Carlo simulations, with or without the inclusion of Spearman rank correlations among random input variables, stochastic dominance (DOM) and sensitivity analysis (SENS). The roughage used was chopped sugar cane. Cash flow with indicators of performance, and probability distributions of all items of cost and revenue (from 2003 to 2014), were used to stimulate net present value (NPV), the financial indicator. Latin hypercube sampling and a Mersenne Twister random number generator were employed for the simulation with 2000 interactions. The risk was found to be more accurately estimated when correlations between random input variables were included (probability of NPV ≥ 0 ± standard deviation was 35 ± 166.05% and 31 ± 139.75% for the simulation without and with correlation, respectively). Considering this result, DOM and SENS were only carried out including these correlations. The expected value for NPV was similar between the different levels of concentrate (average USD -62/animal and NPV ≥ 0 of 33%) according to DOM analysis of simulations including correlations. From the SENS analysis, the final weight, finished cattle price, feeder cattle price and initial weight were the items with the greatest influence on NPV, regardless of the level of concentrate used, followed by intake and the cost-related items of diet and minimum rate of attractiveness. Based on the results obtained by simulation, the direct benefit of feedlot could be classified as high risk, suggesting the increased use of Monte Carlo simulation for decision-making.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/33608
10.14393/BJ-v33n1a2017-33608
url https://seer.ufu.br/index.php/biosciencejournal/article/view/33608
identifier_str_mv 10.14393/BJ-v33n1a2017-33608
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/33608/19758
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 33 No. 1 (2017): Jan./Feb.; 125-134
Bioscience Journal ; v. 33 n. 1 (2017): Jan./Feb.; 125-134
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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