Variety release decisions usually involve trade-offs between growers and end-users as well as substantial uncertainties about agronomic, quality, and economic variables. In this paper, methodologies were developed to value grower and end-user characteristics for individual wheat varieties and to...

Development of genetically modified (GM) crops is challenging the functions of the grain marketing system. A stochastic optimization model was developed in this study to determine optimal testing strategies. The model chooses the optimal testing strategy that maximizes utility (minimizes...

Variety release decisions usually involve trade-offs between growers and end-users as well as substantial uncertainties about agronomic, quality, and economic variables. In this paper, methodologies were developed to value grower and end-user characteristics for individual wheat varieties and to...

Development of genetically modified (GM) crops is challenging the functions of the grain marketing system. A stochastic optimization model was developed in this study to determine optimal testing strategies. The model chooses the optimal testing strategy that maximizes utility (minimizes...

The grain shipping industry is highly competitive and has become technically advanced during the past decade. These changes, along with the introduction of innovative shipping mechanisms, have made logistics management an important source of opportunity and risk for grain shippers. A stochastic...

European Union (EU) traceability requirements impose added costs and risks on suppliers. A stochastic simulation model is developed to determine optimal testing strategies and marginal costs to conform to EU traceability requirements for exports of non-genetically modified (non-GM) wheat from...