We address the procurement of new components for recyclable products in the context of Kodak's single-use camera. The objective is to find an ordering policy that minimizes the total expected procurement, inventory holding, and lost sales cost. Distinguishing characteristics of the system are...

The paper develops an algorithm for eliminating bottleneck parts in a cellular manufacturing setting. Bottlenecks are eliminated by determining the machine duplication pattern that minimizes total duplication costs. A unique feature of the algorithm is that it recognizes that under some...

An approach to energy systems modelling is presented. It employs a mixture of non-linear programming techniques considered suitable for the particular structure of energy models, in order to overcome the problems encountered in optimisation with a non-trivial objective function topology, e.g....

Neural network, K-nearest neighbor, naive Bayesian classifier and genetic algorithm evolving classification rules are compared for their prediction accuracies on stock exchange index data. The method yielding the best result, nearest neighbor, is then refined and incorporated into a simple...

A new approach is developed for the automatic (computer based) exploration and analysis of hydrological data, particularly focused on the identification of shifting relationships among hydrological variables. The methodology developed is applicable to many hydrological problems, such as...

We investigate simplified models of computer data networks and examine how the introduction of additional random links influences the performance of these networks. In general, the impact of additional random links on the performance of the network strongly depends on the routing algorithm used...