Jose Maria Alvarez

TL;DR: This work proposes to detect the problems that limit a company by re-engineering the processes, enabling the implementation of a business architecture based on sentimental analysis, allowing small and medium-sized tourism enterprises (SMEs) to make better decisions and analyze the information that most possess, without knowing how to exploit it.

TL;DR: By implementing 5S to reduce dead time stemming from disorder and uncleanliness, while simultaneously applying value stream mapping (VSM) to find the most efficient method to conduct processes, it was proven that businesses in this sector could operate with up to 73% efficiency.

TL;DR: A Predictive model based on sentiment analysis of a social networks that will help the sales decision making and a prediction model of tourist destinations that will be able to predict the tourist interest are proposed.

TL;DR: In this paper, the authors proposed a supply management model to reduce the number of lost sales due to stockout in the MSBs in the trade industry. But the model is not suitable for large scale MSBs, as their priority is to make as many sales per day as possible.

TL;DR: This research project proposes a supply management model in a consumer goods company in Lima, Peru, to improve stock control and avoid raw materials stockouts and overstock and after implementing the new procedure for recording inventories, the inventory record was 87% accurate.