A mathematical programming model is developed and associated to a spatial pattern index (Ripley L function) to analyse the optimal reserve design and implementation for the Little Bustard conservation in Plaine de Niort. The model structure corresponds to three spatial levels, fields, farm and...

A water-crop simulation/mathematical programming model of irrigation water demand in northeastern Colorado is formulated to develop an original concept of derived demand for consumptive use of water. Conventional demand functions for water deliveries are also developed, and the effect of...

In this paper we analyse the economic impact of alternative water management instruments that allow addressing the problem of non-renewable groundwater pumping in the aquifers of the Guadalentín Valley (southeast Spain). Their impact is assessed using a partial equilibrium mathematical...

This paper develops a model for allocating cross-trained workers at the beginning of a shift in a multidepartment service environment. It assumes departments are trying to maximize objective functions that are concave with respect to the number of workers assigned. Worker capabilities are...

Public-sector planning problems are typically complex, and some important planning issues cannot be captured within a mathematical programming model of a problem; such issues may be qualitative in nature, unknown, or unrevealed by decisionmakers. Furthermore, there are often numerous solutions...

We analyze the allocation of objects in a network of caches that collaborate to service requests from customers. A thorough analysis of this problem in centralized and decentralized setups, both of which occur in practice, is essential for understanding the benefits of collaboration. A key...

In management contexts, mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best. In this capacity, mathematical programming serves as a planning aid to management. Data Envelopment Analysis reverses this...

Bundle pricing is a widespread phenomenon. However, despite its importance as a pricing tool, surprisingly little is known about how to find optimal bundle prices. Most discussions in the literature are restricted to only two components, and even in this case no algorithm is given for setting...

The purpose of this paper is to compare the abilities of two competing analytical techniques---mathematical programming and statistical regression---to shed light on the union/nonunion productivity differential in U.S. surface coal mining. The programming approach has the virtues of being...

Mathematical programming techniques were used in the steel industry as early as 1958, and many applications of optimization in steel production have been reported since then. In this survey, we summarize published applications in the largest steel plants by type, including national steel...