Management of energy carriers via intelligent agents in tourist transport companies 13 7

Abstract

Efficiency in energy carrier management constitutes a critical factor for the competitiveness and sustainability of tourist transport organizations. However, many of these entities operate under traditional manual procedures and obsolete technologies that limit strategic planning and lead to excessive fuel consumption. The objective of this paper is to develop an energy management system based on intelligent agents to optimize resource consumption at the Transgaviota Trinidad Base Business Unit in Cuba. Theoretically, the research is grounded in administrative sciences, organizational environmental management, and distributed artificial intelligence theories applied to logistics. Methodologically, a mixed approach was implemented, combining qualitative analysis of organizational processes with an experimental design supported by fleet modeling and simulation. For data collection, historical records of diesel and lubricant consumption were audited, mapping critical tourist transport routes within the region. The results demonstrate that the deployment of the intelligent system automates the allocation of energy carriers and mitigates operational deviations with higher precision than analog control methods. It is concluded that integrating intelligent agents into the organizational structure not only significantly reduces operating costs and the carbon footprint, but also represents a radical innovation in the knowledge economy, transforming energy resource administration into a proactive, intelligent process aligned with international eco-efficiency standards.