This paper develops a log-linear regression approach to estimate missing data in a sparse origin-destination (O-D) matrix assuming the sampled or observed O-D trips follow a good gravity pattern. The approach is tested with randomly selected samples from the known portions of 1997, 2002, and...

Unlike the conventional calibration of a gravity model in which nodal attractions are treated exogenously, this study treats the attraction of a node as an endogenous composite indicator of many contributing factors associated with the node and estimates the nodal attraction based upon exogenous...

This paper develops scalable and effective yet simple heuristic methods for material assignment in a large discrete Build-To-Order (BTO) environment. The material assignment function allocates available supplies of raw material to orders over a period of time. Despite popular belief to the...