Design and ecology are critical issues in the industrial sector. Products are subject to constant review and optimization for survival in the market, and limited by their impact on the planet. Decisions about a new product affect its life cycle, consumers, and especially the environment. In order to achieve quality solutions, eco-effectiveness must be considered, therefore, in the design of a process, its product development and associated system. An orderly methodology is essential to help towards creating products that meet both user needs and current environmental requirements, under paradigms that create environmental value. To date, the industry has developed techniques in an attempt to address these expectations under Cradle-to-Cradle (C2C), which is loosely structured around the conceptual frameworks and design techniques. The present work describes a new framework that encompasses all stages of design, and enables interaction under a set of principles developed for C2C. Under this innovative new paradigm emerges the Genomic Model of Eco-innovation and Eco-design, proposed as a methodology for designing products that meet individual and collective needs, and which enables the design of eco-friendly products, by integrating them into the framework of the ISO standards of Life Cycle Assessment (LCA), eco-design, eco-labeling, and C2C certification.

FRABIHO constitutes a reference protomodel for distributed and intelligent engineering product ion systems, derived from the synthesis of the models proposed i n the frame of the fractal, bionic and holonic inte lligent manufacturing systems. FRABIHO formalizing becomes necessary as a previous task to the construction o f tools for attending the engineering steps of intelligent syst ems in all its life cycle (design, implementation, production, redesign). This formalization seeks to describe the elements that will constitute the environment of m odelling and simulation of an intelligent production system, con ceived from the principles of Fractal, Bionic and H olonic varieties. These varieties have given rise to intelligent syst ems in the environment of Next Generation of Manufacturing Systems, Agile Company, Extend Company and Virtual Company.

Resumen La actividad investigadora de un Departamento Universitario derivada de la docencia de Tercer Ciclo y desarrollo de las tareas de investigación bajo distintos tipos de contratos, convenios, proyectos, etc., ha de competir por los recursos escasos como son: alumnos de doctorado, contratos y convenios con empresas e instituciones, proyectos de investigación en distintas convocatorias, etc. Al mismo tiempo debe incardinarse dentro de los planes estratégicos que se despliegan a nivel institucional, todo ello con el propósito de obtener una ventaja competitiva frente a las ofertas provenientes de otros Departamentos, obtener la certificación de un programa de doctorado, o la mención de calidad como es el caso de la ANECA. Todo lo anteriormente expuesto justifica el presente trabajo, en el que se formula una propuesta para realizar un análisis estratégico de la actividad investigadora de un Departamento con un solo área de conocimiento (Expresión Gráfica en la Ingeniería), ilustrá...