Airline seat inventory control is a very profitable tool in the airline industry. Mathematical programming models provide booking limits or bid-prices for all itineraries and fare classes based on demand forecasts. But the actual revenue generated in the booking process fails to meet...

This paper studies decision rules for accepting reservations for stays in a hotel based on deterministic and stochastic mathematical programming techniques. Booking control strategies are constructed that include ideas for nesting, booking limits and bid prices. We allow for multiple day stays....

Article deals with matters of quantitative methods of creating the optimal range for a small manufacturing enterprise. The classical approach to the formation of an optimal production program based on mathematical methods for linear programming is viewed through the prism of consumer...

This article employs a mathematical programming model to solve the capacity planning problem of international direct dialling (IDD) services. Our study involves allocating forecasted IDD demand traffic to destination countries via partner suppliers at minimum cost. To facilitate its use, the...

In this paper a multi-product, multi-echelon location–allocation model for the optimization of a supply chain design is proposed. This model integrated inventory decisions into distribution network design with stochastic market demands. The goal is to select the optimum numbers, locations, and...

Pesticides used in agricultural production affect environmental quality and human health. These external costs can amplify due to climate change because pest pressure and optimal pesticide application rates vary with weather and climate conditions. This study uses mathematical programming to...

A spatial equilibrium model based on a non-linear mathematical programming algorithm was developed to determine the optimal number, location, and size of cellulose ethanol plants for North Dakota. The objective function of the model is to minimize processing cost of biomass for ethanol and the...

This paper focuses on Stochastic Dominance (SD) efficiency in a finite empirical panel data. We analytically characterize the sets of unsorted time series that dominate a given evaluated distribution by the First, Second, and Third order SD. Using these insights, we develop simple Linear...