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...

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...

Recent reforms in the Common Agricultural Policy and the sugar regime caused serious concerns for the future of the European sugar industry. At the same time, the European Commission considers transportation bio-fuels as a key factor for reducing reliance on imported fuels, emission levels of...

Many areas of the US recently endured a severe drought and management strategies to cope with the lack of forage production varied. A multi-period mathematical model is presented that estimates the outcomes of two common producer responses to changes in precipitation, partial liquidation and...

We develop a nonlinear mathematical optimization program for investigating the economic and environmental implications of wind penetration in electrical grids and evaluating how hydropower storage could be used to offset wind power intermittence. When wind power is added to an electrical grid...

A risk-averse irrigated corn producer would be better off choosing the more expensive subsurface drip irrigation (SDI) over center-pivot sprinkler (CPS), given limited aquifer life and swine effluent and urea fertilization. A stochastic optimization using EPIC data maximized expected utility of...

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...

With the increasing interest in decision support systems and the continuous advance of computer science, revenue management is a discipline which has received a great deal of interest in recent years. Although revenue management has seen many new applications throughout the years, the main focus...

Abstract 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...