Contatto di riferimento: Prof. Cecilia Metra
Recapito telefonico per contatti: +39 051 2093013
Calendario dell'evento
- lunedì 8 Maggio, ore 9-11, Aula 5.1
- martedì 9 Maggio, ore 9-12, Aula 5.1
About the speakers
Federico Canini received the M.Sc. degree with honors in Electronic Engineering from the Alma Mater Studiorum - University of Bologna in 1994. In 1995 he started his activity in Datalogic covering many engineering roles, developing new products based on imaging and laser technologies. He holds 17 patents and is currently a Senior Manager leading Datalogic Labs and Platforms, two global and centralized R&D teams focused on core technologies and platform developments based in Italy, USA and Vietnam.
Fabio Albanese is currently Senior Manager, Global R&D SW-Systems and Radio Engineering, HHS for Datalogic, leading development teams in Italy and Vietnam. Before that he spent the last years as Head of the Global SW and SW Quality functions, HHS and he has founded and brought up to speed the first and biggest off-shore design center of the Datalogic Group in Ho Chi Minh City, Vietnam. He served several terms as Vice Chairman of the Italian Chamber of Commerce in Vietnam. He received a M.Sc. Degree in Electronic Engineering from University of Bologna in 2004 and he’s working towards his Master in Business Administration (MBA) from IE Business School, Madrid.
Abstract
Mixing different technologies and scientific disciplines for developing complex products is a key success factor for modern companies. This talk gives an overview about Datalogic’s R&D world, the basic technologies and the technical challenges relate to the field of automatic identification.
Did you ever notice how much the new products history is constellated of astounding product failures coming out from -since then- exceptionally successful companies? Did you ever think about how a constrained creativity act like the one of ‘designing’ new products should be organized in Corporate R&D in order to be efficient, repeatable and minimizing the unavoidable risks? To a naïve analysis bad projects could be the only brainchild of bad engineers (and, frankly mostly they are..), but we’ll show cases where good engineering practices are not enough and describe the necessity of a solid and sound development process that can drive R&D organizations to achieve more successes than failures.