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 predictor 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.

Highlights

  • Many companies even though they provide an excellent product and have an excellent human talent they fail for mistakes in making logistical decisions that is where tools of Artificial Intelligence such as Artificial Neural Networks (ANN) [1] and genetic algorithms [2] they can serve support in making decisions, in order to reduce losses and increase profits considering the line of business, this paper shows a practical application of such tools for the implementation of the Management Model Triple A [3] in the supply chain of the collection center for raw milk

  • The proposed intelligent systems such as an Artificial Neural Network and Genetic Algorithms only would impact on two indicators, that is, they are excellent systems the real impact depends on many other factors including both staff and the management of all the processes involved in the chain supply

  • An efficient supply chain management is vital importance for the success of a company, since it allows an overview of end to end across the enterprise, in the case of the Collection Center the chain starts from the milk collection to delivery to large processors so the implementation of Model management "Triple A" should cover the whole entire chain

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Summary

Introduction

Many companies even though they provide an excellent product and have an excellent human talent they fail for mistakes in making logistical decisions that is where tools of Artificial Intelligence such as Artificial Neural Networks (ANN) [1] and genetic algorithms [2] they can serve support in making decisions, in order to reduce losses and increase profits considering the line of business, this paper shows a practical application of such tools for the implementation of the Management Model Triple A [3] in the supply chain of the collection center for raw milk. Logistics management includes management of physical flows, administrative and information, so that all projects of strategic planning should involve decisions directly in the supply chain. One proposal of logistic management was propounded by Hau Lee in 2004, it called the Triple-A supply chain management model that guides management in three main edges that are Agility, Adaptability and Alignment

The “Triple-A” management model
Intelligent systems and its application to implement the model “Triple A”
Neural network Among the various applications of neural networks that
A Genetic algorithms for optimizing routes
Key indicators of management "Triple A"
Conclusions
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