Sorting and Blending Under Quality Uncertainty: Application to Wheat Protein

Vista sencilla de ítem
dc.creatorJohnson, D. Demcey
dc.date2017-04-01T14:10:28Z
dc.date.accessioned2026-07-09T04:26:49Z
dc.descriptionQuality uncertainty is of considerable interest to the grain industry. In this paper, uncertainty is incorporated in a model of grain blending decisions. A mixed-integer, nonlinear optimization problem is developed. Simulations illustrate the effect of crop quality on blending decisions, and the effect of blending activities on the distribution of protein within a wheat marketing channel.
dc.identifierdoi:10.22004/ag.econ.36316
dc.identifierhttps://ageconsearch.umn.edu/record/36316/files/sp05jo01.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/36316
dc.identifier.urihttp://hdl.handle.net/123456789/550025
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/36316
dc.titleSorting and Blending Under Quality Uncertainty: Application to Wheat Protein
dc.typeText

Archivos

Colecciones

University of Minnesota