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Neural Networks and Genetic Algorithms Applied for Implementing the Management Model "triple A" in a Supply Chain. Case: Collection Centers of Raw Milk in the Azuay Province

Abstract:

To get successful the companies need a combination of several factors, the most important one is the management of Supply Chain. This paper proposes the use of intelligent systems such as Artificial Neural Networks (ANN) and Genetic Algorithms as support systems together with monitoring indicators and monitoring, in order to implement the management model Triple A, which is focused on Agility-Adaptability-Alignment, where the "Agility" is the speed of response to changes in demand, "Adaptability" is the ability to tailor the supply chain front market fluctuations and «Alignment» is to align the chain between consumers and suppliers. The Neural Network was trained to work as a pbkp_redictor of demand and will improve the "agility" of the supply chain, the genetic algorithm is used to obtain optimal routes of pickup from providers, this support to the "alignment" the product of suppliers in the supply chain to final customers; the Neural Network with the Genetic Algorithm together serve as support to "adapt" the supply chain to variations of demand and the suppliers, however, for successful of the model are need other factors such as the use of indicators and training of staff on the administration of management model triple A in the supply chain.