Desarrollo de un instrumento de ayuda a la decisión para la mejora de las líneas de confección.

En este estudio se describe el software de simulación de daños en líneas de clasificación de fruta SIMLIN 2.0. Se refiere su empleo en la simulación de confección de melocotones Sudanell con una susceptibilidad intrínseca estimada mediante un modelo logístico, ajustado con esta misma herramienta, a partir de datos de Laboratorio SIMLIN 2.0 precisa la caracterización de las partidas de fruta mediante distribuciones de probabilidad, la cual puede llevarse a cabo con un interfaz de usuario de fácil utilización. El software permite evaluar los porcentajes de daño previstos para líneas de clasificación con distintos niveles de agresividad establecidos por medio de bases de datos generadas con frutos electrónicos tipo IS-100. Aporta distintas salidas gráficas que ayudan a definir las estrategias de mejora que más se adecúen a cada caso

Augmenting measure sensitivity to detect essential, dispensable and highly incompatible features in mass customization

International audienceMass customization is the new frontier in business competition for both manufacturing and service industries. To improve customer satisfaction, reduce lead-times and shorten costs, families of similar products are built jointly by combining reusable parts that implement the features demanded by the customers. To guarantee the validity of the products derived from mass customization processes, feature dependencies and incompatibilities are usually specified with a variability model. As market demand grows and evolves, variability models become increasingly complex. In such entangled models it is hard to identify which features are essential, dispensable, highly required by other features, or highly incompatible with the remaining features. This paper exposes the limitations of existing approaches to gather such knowledge and provides efficient algorithms to retrieve that information from variability models

An Engineer-To-Order Mass Customization Development Framework

Part 1: Knowledge-Based Performance ImprovementInternational audienceDevelopers of automated manufacturing systems are often categorised as Engineer-To-Order companies, relying on the ability to offer solutions that are tailored to the individual consumer. Managing product variety and enabling reusability between solutions becomes key concepts towards increasing competitiveness and revenue, in which Engineer-To-Order companies may benefit from adopting Mass Customization concepts. As automated manufacturing systems tends to be software intensive, it become equally important to enable reusability for physical components and for software related artefacts. In parallel to Mass Customization, Software Product Line Engineering has emerged as a way for software developers to manage variability and reusability. This paper seeks to combine the concepts of Mass Customization and Software Product Line Engineering, by introducing a development framework applicable for Engineer-To-Order companies offering automated manufacturing systems

Problem-Oriented Learning Based on Use of Shared Experimental Results

This paper describes needs, possibilities, and implementation of open educational resources, which are supporting the problem-oriented engineering education based on realistic experimental results. Experimental results can partly substitute real experimentation which is necessary part of engineering education and research. Open educational resources and use of blended learning approach can improve relevancy and decrease costs of engineering education for the majority of engineering schools. These approaches include mobile learning concepts. Also, laboratories via the Internet are one way of sharing laboratory resources in order to increase the availability of experimental work. But there are many situations in which the use of Internet-mediated laboratories is nonrealistic. On the other hand, trained staff and hands-on laboratories and experimental installations are very limited resources at all engineering faculties in countries like Serbia. Because of that, the web portals for sharing experimental data (with defined experimental protocols and all relevant descriptions and tutorials) can be useful for mobile learning applications and engineering education and research