Operations Research as a tool to improve decision making in different logistics chains Phase I

This project is framed within the objective of the Supply Chain Management research line in which the generation of knowledge is sought to understand the management of supply chains of different business sectors and emphasizing one or several elements that compose it.

Although there is a large amount of academic literature related to the use of mathematical models and, in general, the application of operations research in different logistic areas, the development of this project aims to study and explore four major general fields (health, transport, disasters and social problems) where decision making based on appropriate representations is necessary, and where the use of optimization tools that involve the different elements associated with uncertainty in decision making, generates a contribution that complements the process of knowledge representation through a mathematical and computational language.

The thesis that will be addressed in this project is the possible representation of social and business problems through computational languages that support decision making, therefore, it is expected in this first phase to generate a general knowledge base that will allow future projects to make in-depth and detailed analysis of each of the proposed sectors. the proposal