Context:  In the context of business organizations, every process in which the product is immersed has a cost and time associated with it. The area of maintenance planning and scheduling is no exception; however, it is an aspect in which few companies specialize, tending to be outsourced. In this sense, the application of combinatorial models is a tool with a high potential to improve the overall performance of the organization through the understanding of the integral maintenance process. Method: A two-phase (maintenance and routing) dynamic algorithm is proposed which considers a set of clients distributed in a maintenance network (distance), where each of the technicians start from the same central node (depot), which, in turn, is the endpoint of each assigned route. The objective is to minimize the total cost associated with the development of preventive and corrective maintenance of all machines to be evaluated. With this purpose, the formulation of the mathematical problem for each of the phases and its interrelation method is proposed. Then, performance measures are expressed to evaluate the achieved objectives. Results: The results satisfy a consistent alternative for the resolution of problems of the NP-Hard type, which generates a high level of complexity to the model. That is, it proposes a tool for solving problems of these characteristics in low computational response times and with appealing results. Conclusions: The combined maintenance and routing model using a dynamic algorithm addresses the maintenance and routing problem satisfactorily. The model shows good results with respect to the comparison optimization model in percentage gaps of performance measures lower than 5%. As for the computational time required, a reduction of up to 98% was achieved, which makes it an ideal alternative for highly complex scenarios. Finally, achieving a higher level of characterization, employing multi-objective decision criteria and a greater number of constraints to the problem, is proposed in future research. Acknowledgements: To the High-Performance Computing Center (CECAD - Centro de computación de Alto Desempeño) of Universidad Distrital Francisco José de Caldas for their support, as well as for providing us with a virtual machine to run the proposed mathematical model, which was an essential element in the results obtained.

a cabo del 25 al 29 de septiembre de 2017 en la Universidad Distrital Francisco José de Caldas (SEF 2017), hizo homenaje al papel de la mujer en el desarrollo de la Física. De esta manera, el evento contó con la participación de importantes invitados nacionales e internacionales que compartieron sus experiencias científicas, académicas y personales con un total de 16 conferencias plenarias, entre otras actividades académicas como talleres y un conversatorio sobre la temática del evento. La SEF 2017 contó con la participación de alrededor de 365 asistentes quienes enriquecieron el evento con un total de 31 ponencias orales, 11 talleres y 11 ponencias póster. De esta manera, la Resumen: desde el descubrimiento de los Rayos X por Roentgen en 1895 y los trabajos sobre la radiactividad realizados por Marie y Pierre Curie a finales del siglo XIX y principios del siglo XX, se hizo evidente el uso potencial de las radiaciones ionizantes en diferentes aplicaciones médicas. Es de resaltar que los principios físicos planteados hace más de 110 años son el fundamento de las más avanzadas técnicas tanto de diagnóstico como de terapia empleadas actualmente, las cuales han ido evolucionando gracias a la posibilidad de tratar digitalmente las imágenes, así como de combinar técnicas de producción y detección de la imagen, caso de la Tomografía por