How can dairies maximize their profits and properly remunerate their dairy farmers?

Detalhes bibliográficos
Autor(a) principal: Meneghini, Rafael Cedric Möller
Data de Publicação: 2016
Outros Autores: Cassoli, Laerte Dagher, Martines Filho, João Gomes, Xavier, Carlos Eduardo Osório, Santos, Marcos Veiga dos, Caixeta Filho, José Vicente, Natel, Andressa Santanna, Machado, Paulo Fernando
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/108534
Resumo: The current pricing process of raw milk in Brazil discourages producers from improving milk composition, which affects both yield and quality of dairy products. Furthermore, small and medium-sized dairies face great difficulties when it comes to planning production. Thus, a linear programming model was developed to price the raw milk and determine the optimal mix (combination of quantities) of dairy products that maximizes total contribution margin (TCM) under daily scenarios of high (January) and low (July) raw milk supplies (summer and winter, respectively) by comparing optimal solutions with actual results. The TCM of optimal and actual mixes were higher in January due to the greater availability of raw material. Packaging was a limiting factor in the production of cheese in optimal mixes. The relationship between unit contribution margin (UCM) and the required amount of raw materials per product unit and resource availability is crucial to defining the mix of dairy products and TCM of the dairy. Casein and raw milk volume showed shadow prices. Under both scenarios, the calculated prices of raw milk were higher than the prices charged by the dairy and were higher in January. The proposed model remunerates the producers based on the quantity and quality of raw milk. The dairy can maximize its TCM by better planning its mix of products with the use of linear programming.
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spelling How can dairies maximize their profits and properly remunerate their dairy farmers? The current pricing process of raw milk in Brazil discourages producers from improving milk composition, which affects both yield and quality of dairy products. Furthermore, small and medium-sized dairies face great difficulties when it comes to planning production. Thus, a linear programming model was developed to price the raw milk and determine the optimal mix (combination of quantities) of dairy products that maximizes total contribution margin (TCM) under daily scenarios of high (January) and low (July) raw milk supplies (summer and winter, respectively) by comparing optimal solutions with actual results. The TCM of optimal and actual mixes were higher in January due to the greater availability of raw material. Packaging was a limiting factor in the production of cheese in optimal mixes. The relationship between unit contribution margin (UCM) and the required amount of raw materials per product unit and resource availability is crucial to defining the mix of dairy products and TCM of the dairy. Casein and raw milk volume showed shadow prices. Under both scenarios, the calculated prices of raw milk were higher than the prices charged by the dairy and were higher in January. The proposed model remunerates the producers based on the quantity and quality of raw milk. The dairy can maximize its TCM by better planning its mix of products with the use of linear programming. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2016-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/10853410.1590/0103-9016-2014-0261Scientia Agricola; v. 73 n. 1 (2016); 51-61Scientia Agricola; Vol. 73 Núm. 1 (2016); 51-61Scientia Agricola; Vol. 73 No. 1 (2016); 51-611678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/108534/106851Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessMeneghini, Rafael Cedric MöllerCassoli, Laerte DagherMartines Filho, João GomesXavier, Carlos Eduardo OsórioSantos, Marcos Veiga dosCaixeta Filho, José VicenteNatel, Andressa SantannaMachado, Paulo Fernando2015-12-16T11:23:23Zoai:revistas.usp.br:article/108534Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-12-16T11:23:23Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv How can dairies maximize their profits and properly remunerate their dairy farmers?
title How can dairies maximize their profits and properly remunerate their dairy farmers?
spellingShingle How can dairies maximize their profits and properly remunerate their dairy farmers?
Meneghini, Rafael Cedric Möller
title_short How can dairies maximize their profits and properly remunerate their dairy farmers?
title_full How can dairies maximize their profits and properly remunerate their dairy farmers?
title_fullStr How can dairies maximize their profits and properly remunerate their dairy farmers?
title_full_unstemmed How can dairies maximize their profits and properly remunerate their dairy farmers?
title_sort How can dairies maximize their profits and properly remunerate their dairy farmers?
author Meneghini, Rafael Cedric Möller
author_facet Meneghini, Rafael Cedric Möller
Cassoli, Laerte Dagher
Martines Filho, João Gomes
Xavier, Carlos Eduardo Osório
Santos, Marcos Veiga dos
Caixeta Filho, José Vicente
Natel, Andressa Santanna
Machado, Paulo Fernando
author_role author
author2 Cassoli, Laerte Dagher
Martines Filho, João Gomes
Xavier, Carlos Eduardo Osório
Santos, Marcos Veiga dos
Caixeta Filho, José Vicente
Natel, Andressa Santanna
Machado, Paulo Fernando
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Meneghini, Rafael Cedric Möller
Cassoli, Laerte Dagher
Martines Filho, João Gomes
Xavier, Carlos Eduardo Osório
Santos, Marcos Veiga dos
Caixeta Filho, José Vicente
Natel, Andressa Santanna
Machado, Paulo Fernando
description The current pricing process of raw milk in Brazil discourages producers from improving milk composition, which affects both yield and quality of dairy products. Furthermore, small and medium-sized dairies face great difficulties when it comes to planning production. Thus, a linear programming model was developed to price the raw milk and determine the optimal mix (combination of quantities) of dairy products that maximizes total contribution margin (TCM) under daily scenarios of high (January) and low (July) raw milk supplies (summer and winter, respectively) by comparing optimal solutions with actual results. The TCM of optimal and actual mixes were higher in January due to the greater availability of raw material. Packaging was a limiting factor in the production of cheese in optimal mixes. The relationship between unit contribution margin (UCM) and the required amount of raw materials per product unit and resource availability is crucial to defining the mix of dairy products and TCM of the dairy. Casein and raw milk volume showed shadow prices. Under both scenarios, the calculated prices of raw milk were higher than the prices charged by the dairy and were higher in January. The proposed model remunerates the producers based on the quantity and quality of raw milk. The dairy can maximize its TCM by better planning its mix of products with the use of linear programming.
publishDate 2016
dc.date.none.fl_str_mv 2016-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/108534
10.1590/0103-9016-2014-0261
url https://www.revistas.usp.br/sa/article/view/108534
identifier_str_mv 10.1590/0103-9016-2014-0261
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/108534/106851
dc.rights.driver.fl_str_mv Copyright (c) 2015 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 73 n. 1 (2016); 51-61
Scientia Agricola; Vol. 73 Núm. 1 (2016); 51-61
Scientia Agricola; Vol. 73 No. 1 (2016); 51-61
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
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instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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