Industry 4.0 is having a great impact in all smart efforts. This is not a single product but is composed of several technologies, one of them being Industrial Internet of Things (IIoT). Currently, there are very varied implementation options offered by several companies, and this imposes a new challenge to companies that want to implement IIoT in their processes. This challenge suggests using multi-criteria analysis to make a repeatable and justified decision, requiring a set of alternatives and criteria. This paper proposes a new methodology and comprehensive criteria to help organizations to take an educated decision by applying multi-criteria analysis. Here, we suggest a new original use of PROMETHEE-II with a full example from weight calculation up to IIoT platform selection, showing this methodology as an effective study for other organizations interested in selecting an IIoT platform. The criteria proposed stands out from previous work by including not only technical aspects, but economic and social criteria, providing a full view of the problem analyzed. A case of study was used to prove this proposed methodology and finds the minimum subset to reach the best possible ranking.

The objective of this research is to analyze and model the development of a human stampede in a religious pilgrimage using multiagent systems to observe and detect the behaviors and patterns that affect a contingency plan empirically to help reduce human losses in crisis situations. The simulation will be carried out in the Menge platform taking into account multiple factors that intervene in the behavior of the people who attended the pilgrimage and in the environment in which they develop. According to these factors will implement a hybrid algorithm between dijkstra and simulated annealing that will allow to know the shortest route to some emergency exit and also the number of people who are in that location to help out every person who is involved in the situation respectively. In addition, with Voronoi diagrams.