Management of the product life cycle and of the corresponding supply network largely depends on information in which specific phase of the life cycle one or another product currently is and when the phase will be changed. Finding a phase of the product life cycle can be interpreted as forecasting transition points between phases of life cycle of these products. This paper provides a formulation of the above mentioned task of forecasting the transition points and presents the structured data mining system for solving that task. The developed system is based on the analysis of historical demand for products and on information about transitions between phases in life cycles of those products.#R##N##R##N#The experimental results with real data display information about the potential of the created system.
['Serge Parshutin', 'Ludmila Aleksejeva', 'Arkady Borisov']
Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System