Examinando por Materia "Performance indicators"
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Ítem Diseño de un proceso de gestión del desarrollo del personal en una concesionaria vial colombiana en el marco de una gestión integral por procesos(Universidad EAFIT, 2022) Agudelo Sánchez, Angie Lorena; Hernández López, Juan David; Giraldo Hernández, Gina MaríaThis study aims to structure a proposal for the staff development process, with scope for performance evaluation and job training threads. Here we also include monitoring of management results, as a proposal for strengthening the skills and abilities of the collaborators of the study concessionaire. We see a brief summary of the most relevant aspects of process management worldwide. Then we examine the gaps of the studied concessionaire with respect to the global standards of the personnel development process. Additionally, the justification and the objectives involved in the research are presented. The state of the art of process management in the area of human management, the personnel development process and the sub-processes of personnel training and work performance are related with the studied concessionaire, including related concepts and methodological tools for their adequate management. The methodological framework is described and the type of research. The sub-processes for creating and/or updating positions, job performance management and job development management are designed, in addition to the tools that support each sub-process within the framework of comprehensive process management (job description, performance evaluation, training plan). Finally, the results and conclusions are described.Ítem Optimization of V-Trough photovoltaic concentrators through genetic algorithms with heuristics based on Weibull distributions(Elsevier Ltd, 2018-02-15) Arias-Rosales A.; Mejía-Gutiérrez R.; Universidad EAFIT. Departamento de Ingeniería de Diseño; Ingeniería de Diseño (GRID)Photovoltaic V-Troughs use simple and low-cost non-imaging optics, namely flat mirrors, to increase the solar harvesting area by concentrating the sunlight towards regular solar cells. The geometrical dispositions of the V-Trough's elements, and the way in which they are dynamically adjusted to track the sun, condition the optical performance. In order to improve their harvesting capacity, their geometrical set-up can be tailored to specific conditions and performance priorities. Given the large number of possible configurations and the interdependence of the multiple parameters involved, this work studies genetic algorithms as a heuristic approach for navigating the space of possible solutions. Among the algorithms studied, a new genetic algorithm named “GA-WA” (Genetic Algorithm-Weibull Arias) is proposed. GA-WA uses new heuristic processes based on Weibull distributions. Several V-Trough performance indicators are proposed as objective functions that can be optimized with genetic algorithms: (i) Ce? (average effective concentration); (ii) Cost (cost of materials) and (iii) Tsp (space required). Moreover, from the integration of these indicators, three multi-objective indices are proposed: (a) ICOE (Ce? versus Cost); (b) MICOE (Ce? versus Cost and Ce? versus Tsp combined) and (c) MDICOE (similar to MICOE but with discretization considerations). The heuristic parameters of the studied genetic algorithms are optimized and their capacities are explored in a case study. The results are compared against reported V-Trough set-ups designed with the interactive software VTDesign for the same case study. It was found that genetic algorithms, such as the ones developed in this work, are effective in the performance indicators improvement, as well as efficient and flexible tools in the problem of defining the set-up of solar V-Troughs in personalized scenarios. The intuition and the more holistic exploration of a trained engineer with an interactive software can be complemented with the broader and less biased evolutionary optimization of a tool like GA-WA. © 2017 Elsevier LtdÍtem Un análisis a las lecciones aprendidas en etapa de inversión en tres proyectos de transformación digital en empresas de Pereira y el Norte del Valle, haciendo uso de inteligencia artificial generativa(Universidad EAFIT, 2024) Loaiza Galeano, Christian David; Gómez Salazar, Elkin ArcesioIn the current context of globalization and market demands, effective project management becomes essential. This analysis focuses on the lessons learned from three digital transformation projects executed in three different Colombian companies in Pereira and Norte del Valle. Its purpose lies in documenting experiences, developing matrices to categorize lessons, and comparing results, identifying common patterns and significant differences, to draw conclusions about best practices and specific areas of improvement. The objective is to explore recognized approaches and tools to propose a standard instrument that simplifies and makes the documentation of lessons learned more accessible. Additionally, the implementation of a tool that uses artificial intelligence to assist in the analysis of these lessons is considered and includes the suggestion of key indicators to evaluate its success in current and future projects. In a world where digital transformation is crucial to maximize profits and strengthen business competitiveness, these lessons become fundamental.