Despite the potential, the use of simulation technology at US railroads appears to be lagging behind that in manufacturing and other transportation industries. This paper describe...
The following paper briefly presents the formulation and development of a case study supply chain simulation model as developed for an industrial company. The case study company i...
Using an adequate representation is often the key to solve complex problems in Artificial Intelligence. Hierarchical shape representations are very convenient in domains -such as ...
We study strictly level-decreasing logic programs (sld-programs) as defined earlier by the present authors. It will be seen that sld-programs, unlike most other classes of logic p...
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...