“…(2) and (3) denotes the set of correctly retrieved documents. The "R" variable indicates the set of all retrieved documents, while the "A" variable indicates the set of all relevant documents.…”
Section: Cosine Coefficient Accuracymentioning
confidence: 99%
“…Alongside all research developed by engineers on decision making and Decision Support Systems (DSS) [1][2][3] and models [4], psychologists suggest four essential techniques for improving the problem of decision making and choice overload [5][6][7] listed in following:…”
A designer is mainly supported by two essential factors in design decisions. These two factors are intelligence and experience aiding the designer by predicting the interconnection between the required design parameters. Through classification of product data and similarity recognition between new and existing designs, it is partially possible to replace the required experience for an inexperienced designer. Given this context, the current paper addresses a framework for recognition and flexible retrieval of similar models in product design. The idea is to establish an infrastructure for transferring design as well as the required PLM (Product Lifecycle Management) know-how to the design phase of product development in order to reduce the design time. Furthermore, such a method can be applied as a brainstorming method for a new and creative product development as well. The proposed framework has been tested and benchmarked while showing promising results.
“…(2) and (3) denotes the set of correctly retrieved documents. The "R" variable indicates the set of all retrieved documents, while the "A" variable indicates the set of all relevant documents.…”
Section: Cosine Coefficient Accuracymentioning
confidence: 99%
“…Alongside all research developed by engineers on decision making and Decision Support Systems (DSS) [1][2][3] and models [4], psychologists suggest four essential techniques for improving the problem of decision making and choice overload [5][6][7] listed in following:…”
A designer is mainly supported by two essential factors in design decisions. These two factors are intelligence and experience aiding the designer by predicting the interconnection between the required design parameters. Through classification of product data and similarity recognition between new and existing designs, it is partially possible to replace the required experience for an inexperienced designer. Given this context, the current paper addresses a framework for recognition and flexible retrieval of similar models in product design. The idea is to establish an infrastructure for transferring design as well as the required PLM (Product Lifecycle Management) know-how to the design phase of product development in order to reduce the design time. Furthermore, such a method can be applied as a brainstorming method for a new and creative product development as well. The proposed framework has been tested and benchmarked while showing promising results.
“…This methodology has been applied to various business policy and strategy problems [15,43,50,51,54,55,64,65], manufacturing and supply chains [41,66] and specifically in CLSC [23,24,42,71,75].…”
“…Cada vez más se hace hincapié en la relación de las cadenas de suministro con el medioambiente. La gestión de la cadena de suministro inversa o de ciclo cerrado (directa más inversa) ha sido objeto de estudio importante desde hace aproximadamente una veintena de años y aunque es todavía un área de investigación novedosa, varios autores han propuesto modelos cuantitativos para soportar la toma de diferentes decisiones como: diseño de productos y selección de productos utilizados [16][17][18][19], decisiones sobre centros de recolección e instalaciones de recuperación [20][21][22] y optimización del transporte [23][24][25].…”
Section: Diseño De Las Cadenas De Suministros Sosteniblesunclassified
RESUMENEste trabajo presenta un modelo multiobjetivo no lineal entero mixto (MINLP) para el diseño sostenible de cadenas de suministro para el reciclaje de varios materiales. En él se integran objetivos económicos y medioambientales para soportar la toma de decisiones estratégicas y tácticas tales como la localización de instalaciones, el diseño de los flujos materiales y la selección de medios de transporte. La evaluación del impacto medioambiental se realiza a través de la metodología de Análisis del Ciclo de Vida (LCA) utilizando el Ecoindicador 99. Se modeló un caso de estudio para la cadena de reciclaje de dos tipos de plástico, utilizando el método de las restricciones para obtener la frontera de Pareto. En el desarrollo del caso se mostraron indicadores que permiten evaluar las soluciones encontradas y así facilitar el proceso de toma de decisiones.Palabras clave: diseño de la cadena de suministros, logística inversa, modelo de optimización, sostenibilidad.
ABSTRACT
This paper presents a multi-objective mixed integer non-linear problem (MINLP) to
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