USING MIXED-INTEGER PROGRAMMING TO DETERMINE THE POTENTIAL FOR FLOUR-MILLING INDUSTRY EXPANSION

Gelson Tembo, Rodney Holcomb, Philip L. Kenkel and Daniel S. Tilley

Journal of Food Distribution Research, 1999, vol. 30, issue 3, 10

Abstract: As in most predominantly agricultural states, agricultural producers in Oklahoma have expressed an interest in value-added processing opportunities. While Oklahoma produces mostly hard red winter wheat, most Oklahoma bakers require predominantly soft wheat flour for their products, almost all of which is purchased from out-of-state suppliers. An economic engineering-based, mixed-integer programming model was used to determine the optimal number, size, and location of additional flour mills in Oklahoma to capture this excess flour demand. The results suggest that additional mills are potentially justified and that the potential for additional milling will increase if Oklahoma soft wheat production increases.

Keywords: Agribusiness (search for similar items in EconPapers)
Date: 1999
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://ageconsearch.umn.edu/record/27217/files/30030012.pdf (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:ags:jlofdr:27217

DOI: 10.22004/ag.econ.27217

Access Statistics for this article

More articles in Journal of Food Distribution Research from Food Distribution Research Society Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().