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Objective: To carry out a systematic review of the literature in relation to robotic process automation technology (RPA), applied to the organizational management of Small and medium-sized enterprises (SME) in the manufacturing and services sector, to analyze the integration of complementary technologies aligned with administrative and operational processes. Methodology: The research uses mixed qualitative and quantitative approaches that support exploratory and documentary methodologies. It starts from the research questions, to then define search strategies, list the selected publications and generate systematic data extraction, to finally analyze and conclude based on the findings. Key findings: From a review of 484 articles, 233 in Web of Science (WoS) and 251 in Scopus, it was found that India, China, and Finland are the countries that contribute the most to the use of technology in the sectors investigated. Cyber-physical systems and robotics, big data, IoT and simulation are the pillars of Industry 4.0, with greater application of RPA-associated technologies. Finally, logistic models turn out to have a greater scope for using technologies for the development of activities and tasks in the manufacturing sector. Conclusions: The result and contribution of this exercise shows parameters for the implementation of RPA in the organizational management of SMES in the manufacturing and service sector.

Yenny Alejandra Aguirre-Alvarez, Universidad de Antioquia

Ingeniera Industrial, Universidad Nacional de Colombia, Medellín-Colombia. Especialista en Logística Integral, Universidad de Antioquia, Medellín-Colombia. Magíster en Ingeniería Industrial, Universidad Nacional de Colombia, Medellín-Colombia. PhD(c) en Ingeniería, Universidad de Antioquia, Medellín-Colombia. Con más de 7 años de experiencia en el sector productivo en cargos de Gerencia Operativa. En la academia cuenta con más de 15 años de experiencia, se desempeña como Docente Investigadora de la Facultad de Ingeniería de la Universidad de Antioquia, integrante del grupo de investigación Ingeniería y Sociedad. Áreas de interés: Sistemas productivos, excelencia operacional, Lean Manufacturing, Industria 4.0.

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