LOGISTICS OF EXPORT OF BEEF: AN APPLICATION TO LINEAR PROGRAMMING

Waldemiro Alcântara Silva Neto () and José Vicente Caixeta Filho
Additional contact information
Waldemiro Alcântara Silva Neto: Universidade de São Paulo (USP)
José Vicente Caixeta Filho: Universidade de São Paulo

Revista de Economia Mackenzie (REM), 2009, vol. 7, issue 3, 59-77

Abstract: The agribusiness in Brazil has advanced significantly and gained importance in national economy in recent years. Within this sector of the economy has been power the beef cattle, around one third of the total value of production, particularly the export sector of beef. In this optimistic scenario, this paper aims to identify the best option for road transport by type of vehicle or the best among all the options available to minimize the costs of the whole process of export of meat from a refrigerator located in city of Campo Grande, Mato Grosso do Sul, destined to the ports of Santos and Guarujá, state of São Paulo. The technique used was the linear programming and, among the results, the best option is to increase its offer refrigerator to minimize the costs of transport. By adopting this solution, there is not inventory or the possibility of under-utilization of carrier vehicle.

Keywords: Agribusiness; Exports; Beef. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

Downloads: (external link)
https://editorarevistas.mackenzie.br/index.php/rem/article/view/1270/2455 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aft:journl:v:7:3:2009:sep:dec:p:59-77

Access Statistics for this article

More articles in Revista de Economia Mackenzie (REM) from Mackenzie Presbyterian University, Social and Applied Sciences Center Contact information at EDIRC.
Bibliographic data for series maintained by Instituto Presbiteriano Mackenzie (IPM) ().