Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
Managing product life cycle with multiagent data mining system
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
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The ECLIPS Project "Extended Collaborative Integrated Life Cycle Supply Chain Planning System' is introduced. The discussed project scope focuses on development of concepts and technologies in the domain of supply chain planning and managing at the product maturity phase. The concerned concepts and technologies are based on integrating analytical and simulation techniques in multi-echelon cyclic planning. Analytical techniques are used under conditions of dynamic and deterministic demand. Simulation techniques provide a test environment for analytical solutions and allow modeling and optimising planning decisions under conditions of demand variability and uncertainty.