Definici ón de α-dominancia para un caso de maximizaci ón 128 6.6.2. Efecto de α-dominancia en la predicci ón de la rugosidad superficial .

The link between academia, government, and business to improve the development and appropriation of knowledge in certain topics, such as logistics, is being promoted in Colombia. One of the key issues of teaching logistics is try to bring to actual work contexts, problems that can be handled by people who do not have experience. The incorporation of Information and Communications Technologies (ICT) in academic environments supports the training of professionals in different fields. The tele-operated laboratory for logistics operations called Internet2 way [TELEOPLOGIS] is a project focused on the development and implementation of a remote laboratory where an integrated and didactic manufacturing cell, some robot manipulators, and specific pieces of software are used for the teaching of logistics operations. This laboratory includes the development of guidelines and academic workshops with two approaches: teleoperation systems for discrete events, and manufacturing cells that transform the cell nodes into elements of logistics operations. We achieved acceptable results in both remote operations and in practices that currently are in progress.

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The article examines the use of a metaheuristic method -genetic algorithms -for evaluating a model of routes for raw milk collection. A model was implemented based on real data, collected through fieldwork, following the method of the «traveling agent's problem», using the toolbox of Matlab® genetic algorithm. The results show that the routes obtained with the implementation of the genetic algorithm are feasible in terms of time and visited nodes, demonstrating the potential of this tool. The costs obtained by this method differ from the current methods by about 3%, which is within the range reported in the literature. KEYWORDSModel of routing; metaheuristic methods; genetic algorithms.Modelo de ruteo para recolección de leche cruda usando algoritmos genéticos RESUMEN El artículo presenta la utilización de un método metaheurístico -algoritmos genéticos-para la evaluación de un modelo de rutas de recolección de leche cruda. Se implementó un modelo a partir de datos reales, recolectados por medio de trabajo de campo, siguiendo el método del «problema del agente viajero», usando el toolbox de algoritmos genéticos de Matlab®. Los resultados evidencian que las rutas obtenidas con la implementación del algoritmo genético son viables en cuanto a tiempo y nodos visitados, lo que demuestra el potencial de esta herramienta. Los costos obtenidos por este método difieren de los actuales en alrededor de 3%, valor que está dentro de los márgenes reportados en la literatura. PALABRAS CLAVE Modelo de ruteo; métodos metaheurís-ticos; algoritmos genéticos.Modelo de roteamento para coleta de leite cru utilizando algoritmos genéticos RESUMO O artigo mostra o uso de um método meta heurístico -algoritmos genéticos -para avaliar um padrão de rotas de coleta de leite cru. Foi implementado um modelo baseado em dados reais, coletados por meio de trabalho de campo, seguindo o método do "Problema do Caixeiro Viajante", usando os algoritmos genéticos da caixa de ferramentas Matlab®. Os resultados mostram que as rotas obtidas com a implementação do algoritmo genético são viáveis em termos de tempo e de nós visitados, demonstrando assim o potencial desta ferramenta. Os custos obtidos por este método diferem dos atuais em aproximadamente 3%, o que está dentro do intervalo referido na literatura.PALAVRAS-CHAVE Modelo de roteamento; métodos meta heurísticos; algoritmos genéticos.

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