Modelo de información para seguimiento en la distribución de productos de consumo masivo basado en Internet de las Cosas y Dashboard

Abstract

It is relevant that tracking systems maintain a common infrastructure or model and perform information exchange to generate value to mass consumption products. Better ways of distributing food resources are required to be competitive and efficient; it is important to reduce food loss, minimize waste, take care of food, minimize food waste increases food consumption. Not all concepts can be applied or used, we took the components appropriate to our model and close to our reality. The overall objective of this research is to design a monitoring model for processes in the distribution of mass consumption products with IoT and Dashboard for inventories. In methodology, the systematic literature review, observation, empirical-analytical research, elements of scientific articles, qualitative approach, quantitative approach and analysis through statistical techniques were used. It is concluded that the models in product tracking found in the scientific articles contributed to know the IoT environment, our proposed tracking model is formed of 4 layers and 5 indicators that measure the distribution efficiency of mass consumption products, and in the evaluation of the tracking model IF it meets the feasibility criterion, that is to say our proposed model meets 36% of the characteristics to make informed decisions.