Examinando por Materia "Heuristics"

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    Experiences in implementing design heuristics for innovation in product design
    (Springer-Verlag France, 2018-08-01) Restrepo J.; Ríos-Zapata D.; Mejía-Gutiérrez R.; Nadeau J.-P.; Pailhès J.; Universidad EAFIT. Departamento de Ingeniería de Diseño; Ingeniería de Diseño (GRID)
    The aided decision processes are expected to improve the design tasks by the reduction of uncertainty, which is one of the principal aspects that interferes with designer choices. These methods can optimise the problem solution by the time reduction in the iterative decision-cycles that can be based on previous knowledge. This article is based in the utilisation of a knowledge based method in design heuristics, which are defined as a set of procedures that allows both, discovery and acquisition, of a solution for a particular problem by the implementation of a strategy, guided by knowledge derived from the experience. This is applied to design area by the extrapolation of technical or conceptual knowledge that has been previously applied and proven in similar problem-solving processes and providing reference points within designs processes as well. For this reason the research focuses on the development of a design case in order to evaluate the interaction between the user and the guided problem approach. The objective was the analysis between two different design processes by the comparison of the implementation of heuristics based method and conventional design techniques in a design case. The purpose was to compare the outcomes of both experiments, taking as a basis the following setup: The design case proposed was carried out by two different teams, where the first team was instructed to use conventional problem-solving approaches such as Pahl & Beitz and Ulrich & Eppinger and the second one was intended to use the heuristics based method. The design task given to both teams was the development of a methane production system by the use of organic waste with the incorporation of technologies to allow the variables control, in other words, an automated biodigester; this allows to have an outcome all teams easy to comparable between each other. Each team performed the task separately, in order to avoid external influence in the process. All of this to proof that with the aid of tools based on heuristic strategies might enhance the innovation and diversification in design alternatives and strengthens conceptual exploration by providing more detailed concepts in early stages of the process. © 2017, Springer-Verlag France SAS.
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    Heuristics-based design process
    (Springer-Verlag France, 2016-11-01) Calle-Escobar, M.; Mejía-Gutiérrez, R.; Nadeau, J.-P.; Pailhes, J.; Universidad EAFIT. Departamento de Ingeniería de Diseño; Ingeniería de Diseño (GRID)
    This article explores the applicability of heuristic rules into the decision-making processes involved in design practices, with the aim of generating a strategic approach for the fixation, tangibilization and re-utilization of knowledge within organizations. For this purpose, the research focuses on the creation of a methodological approach and a support tool that seeks to facilitate the introduction of heuristics into particular stages of the design process, such as concept development and architecture definition. This is achieved by providing an initial analysis of the design problem, and the definition of specific problem solving actions based on heuristics. This means that, with the aid of tools specifically developed for the method, the process will help design engineers explore several solution principles with applications previously implemented in diverse domains, thus triggering creativity in problem solving activities. This will enable a more Diverse concept generation and a more detailed product development process. In addition, it will allow organizations to work with tools and procedures for them to ensure that emerging knowledge can be integrated to the proposed approach and reused in the future.
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    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 Ltd
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    Las razones de la sinrazón : una aproximación evolucionista a la racionalidad limitada y las heurísticas en la economía del comportamiento
    (Universidad EAFIT, 2022) Naranjo Sierra, Carlos Andrés; Ramírez Gómez, Mauricio Andrés
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    Siguiendo el dinero : contabilidad mental
    (Universidad EAFIT, 2023) Cardona Correa, Pablo; Aristizábal Arjona, Alejandra
    Mental accounting has gained strength in recent years, from Kanheman and Tversky to Richard H. Thaler. For this reason, in this paper the strongest and most consolidated theories of mental accounting are taken up to answer the following question: "Do subjects really assign a different value to money depending on where it comes from?" Through cognitive biases, heuristics and common errors in the subjects we will answer this question.
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    Solving the assignment of customers to trucks and visit days in a periodic routing real-world case1
    (Pontificia Universidad Javeriana, 2018-01-01) Duque Correa A.F.; Baldoquín de la Peña M.G.; Duque Correa A.F.; Baldoquín de la Peña M.G.; Universidad EAFIT. Departamento de Ciencias; Matemáticas y Aplicaciones
    Introduction: This work proposes a model and two heuristic algorithms to assign customers to trucks and visit days as a first phase in the solution of a real-world routing problem, which is closely related to the PVRP (Periodic Vehicle Routing Problem), but a strategic decision of the company imposes the additional constraint that every customer must always be visited by the same truck. Methods: The proposed model will group the customers that are visited the same day by the same truck as close as possible by means of centroid-based clustering. The first proposed heuristic has a constructive stage and three underlying improvement heuristics, while the second uses an exact linear programming algorithm. Results: The algorithms are evaluated by instances taken from the literature and generated, taking into account the characteristics presented in the real-world case. © 2018, Pontificia Universidad Javeriana. All rights reserved.
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    Solving the assignment of customers to trucks and visiting days in a periodic routing real-world case
    (2018-02-01) Duque, Andres Felipe; Baldoquín M.G.; Duque, Andres Felipe; Baldoquín M.G.; Universidad EAFIT. Departamento de Ciencias; Matemáticas y Aplicaciones
    Introduction: this work proposes a model, and two heuristic algorithms to assign customers to trucks and visiting days, as a first phase in the solution of a real-world routing problem, which is closely related to the Periodic vehicle routing problem