Inteligencia Colectiva Como Base para la Formulación de Estructuras Logísticas en Relación a la Responsabilidad Social de las Empresas en Función de la Metaheurística

Abstract

The diverse social and business structures, existing within a community context, generate an interconnection of individuals in a network, understood through complex models of interdependent interactions formed at different levels of organization and action. This generates synergy among businesses along with social factors and variables, significantly influencing logistical processes. Across these structures, various frameworks are implemented to enhance optimization, with a prioritization of functional structures for decision-making based on adaptability and coordination.

Information gathering in the field of metaheuristics is formulated for its utility in constructing resolution methods for complex problems and their optimization. Drawing on various representative systems of collective intelligence such as beehives, ant colonies, or social insect colonies, this process leads to the creation of organizational algorithms. It develops a multidimensional perspective on supply chains with circular economy models, linked to the social and environmental impacts that companies can generate in a community. With applicability across diverse industries, it enables companies to formulate organizations capable of efficiently reserving and transmitting information, understanding internal structures, analyzing interconnection components, comprehending the environment in which they operate, and formulating future possibilities for organizational optimization.