We study the data-integrated price-setting newsvendor problem in which the price-demand relationship is described by some parametric model with unknown parameters. We formulate the operational data analytics (ODA) framework that features a data-integration model and a validation model. The...

Many governments subsidize the agricultural industry, trying to raise the market outputs either for domestic needs or for export. In many countries, particularly developing countries, the producers' market may be fragmented, involving a large number of farmers with variable productivity levels....

This paper introduces the general philosophy of the Operational Data Analytics (ODA) framework for data-based decision modeling. The fundamental development of this framework lies in establishing the direct mapping from data to decision by identifying the appropriate class of operational...

Substitution is a commonly adopted strategy for matching the demand mix by appropriately allocating the supplies. The recent development of information technology has allowed firms to easily swap products to meet consumers' preferences. When formulating substitution policies, firms have to take...

Uncertainties involved in decision making often impose challenges to our ability of modeling and analyzing the reality. The purpose of this paper is to demonstrate how one can go beyond the conventional optimization thinking, via taking a stochastic viewpoint, to push the boundaries of the...

Choice models are widely applied in psychology, economics, transportation, marketing and operations studies. We review the existing developments on the modeling of consumers' choices, including the attraction model, the utility-based model, the temporal model, and the rank-based model. The...