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Article
Methodology for analysis of intensive swine production facility design
Agricultural and Biosystems Engineering Conference Proceedings and Presentations
  • Juliano C.A. Severo, Federal University of Viçosa
  • Fernando C. Baêta, Federal University of Viçosa
  • Ilda F.F. Tinôco, Federal University of Viçosa
  • Antonio C.G. Tibiriçá, Federal University of Viçosa
  • Irene Menegali, Federal University of Viçosa
  • Maria C.C. Guimarães, Federal University of Viçosa
  • Hongwei Xin, Iowa State University
  • Angela R. Green, Iowa State University
Document Type
Conference Proceeding
Conference
2006 ASABE Annual International Meeting
Publication Date
7-1-2006
Geolocation
(45.5234515, -122.6762071)
Abstract

This work was aimed on using Systematic Layout Planning (SLP) methodology to assist in planning of intensive swine production facilities. First, data were collected by local systematic observation. These data were used to make a diagnostic assessment of major existing problems in a swine production system by studying the relationship between production fluxes (of animals, people, feed, equipment and wastes) and the existing layout. Data acquisition, based on the production fluxes, occurred between August and October 2004 in three swine farms of Vale do Piranga region, Minas Gerais State, Brazil, because this region has the state’s second largest concentration of swine. After the study of these fluxes, it was possible to verify, by means of SLP, the proximity relations between the buildings. This SLP may be used as a guideline in the planning of new facilities and for diagnostics of problems due to layout in existing facilities.

Comments

This is an ASAE Meeting Presentation, Paper No. 064123.

Copyright Owner
American Society of Agricultural Engineers
Language
en
Citation Information
Juliano C.A. Severo, Fernando C. Baêta, Ilda F.F. Tinôco, Antonio C.G. Tibiriçá, et al.. "Methodology for analysis of intensive swine production facility design" Portland, OR(2006)
Available at: http://works.bepress.com/hongwei_xin/104/