Approximate Dynamic Programming Captures Fleet Operations for Schneider National - Schneider National needed a model that would replicate the behavior of their team of dispatchers. We used the modeling and algorithmic framework of approximate dynamic programming to optimize the movements of 6,000...

Optimizing Helicopter Transport of Oil Rig Crews at Petrobras - Petrobras carries over 1900 workers daily by helicopter to about 80 offshore oil platforms. This operation is among the largest worldwide for civilian helicopters. We present a flight scheduling system designed to improve service and...

A Queuing Model-Based System for Semiconductor Production Planning at IBM - This paper presents IBM's Enterprise Production planning Optimization System (EPOS). EPOS uses a unique queuing network model combined with linear programming to meet the requirements of capacity and lead time planning fo...

Extending Bass for Improved New Product Forecasting at Intel - Forecasting demand for new products is increasingly difficult as the technology treadmill drives product lifecycles shorter and shorter. We present a model that perpetually reduces forecast variance as new market information is acquir...

Hub Group Implements a Suite of OR Tools to Improve its Operations - Hub Group developed a production decision support system which integrated forecasting, error distribution analysis, expected value based heuristics and optimization. The system was structured to fit within Hub's existing organiz...