Market segmentation is well established in marketing theory and applied by organizations from all industry sectors. Despite wide-spread use, developing and implementing segmentation schemes is rarely problem free. Testing the quality and robustness of segments is one of the difficulties which marketers face. The literature describes segment quality criteria which are intended to help with this ...

Recently, the benefits of modular representations of ontologies has been recognized by the semantic web community. Existing methods for splitting up models into modules either optimize for completeness of local or for the efficiency of distributed reasoning. In our work on semantics-based P2P systems, we are also concerned with the additional criteria of robustness or reasoning in cases where p...

Market segmentation is well established in marketing theory and applied by organizations from all industry sectors. Despite wide-spread use, developing and implementing segmentation schemes is rarely problem free. Testing the quality and robustness of segments is one of the difficulties which marketers face. The literature describes segment quality criteria which are intended to help with this ...

To reduce the number of tests required to characterize anisotropic elastoplastic constitutive models, an approach is design specimen geometries diversify stress states generated in a single test. The experiments are then processed using inverse identification method based on full-field measurements achieve full potential that specific Recent optimization methods were able complex specimens whic...

This paper outlines a method of developing a fitness measure for use in a Genetic Algorithm for assessing the performance of a generic production control system. The performance criteria is based on the ability to recover from inventory variations, the ability to filter out noise, robustness to production delays, robustness to WIP information delays and selectivity.

We present some optimal criteria to evaluate model-robustness of non-regular two-level fractional factorial designs. Our method is based on minimizing the sum of squares of all the off-diagonal elements in the information matrix, and considering expectation under appropriate distribution functions for unknown contamination of the interaction effects. By considering uniform distributions on symm...

An appropriately designed sensor network is crucial for the success of any fault diagnostic strategy. In previous works (Bhushan and Rengaswamy, 2002a,b) strategies for optimally locating sensors based on criteria of reliability maximization and cost minimization have been devised. These opposing objectives were treated in a lexicographic (a special type of multiobjective optimization) manner. ...