C2H2F2: case comprehensive hybrid-hybrid forecasting framework

Presents a production and market driven approach to demand forecasting. The authors´ system takes advantage of both classical expert systems capabilities and advanced probabilistic reasoning methods. As a result, C₂H₂F₂ provides product managers with a simple and coherent forecasting tool. Users can express their beliefs in a more formal way and modify them to run various scenarios. The authors´ system needs now to be fully validated on different products, in order to measure its accuracy versus subjective and purely statistical forecasts. Nevertheless, as a decision support system, the tool has already reached its goal. Product managers are more confident with C₂H₂F₂ forecasts than with real statistical projections, and revise their subjective forecasts, in line with system results. This is due to the fact that C₂H₂F₂ takes into account both what is statistically true and what users guess to be true