2011
Autores
Almeida, FLF; Rocha, RM;
Publicação
Journal of Systems Integration
Abstract
2012
Autores
Hang, A; Almeida, F; Castro, H; Andrade, MT; Chiariglione, L; Blefari-Melazzi, N; Hussmann, H;
Publicação
International Journal for e-Learning Security
Abstract
2009
Autores
Almeida,; Oliveira,; Cruz,;
Publicação
International Journal of Innovation Science
Abstract
2011
Autores
Almeida, F; Dias, P; Goncalves, G; Peschl, M; Hoffmeister, M;
Publicação
International Journal of Industrial Engineering Computations
Abstract
The XPRESS project introduces a completely new scalable concept of a manufactronic networked factory, which is composed by a co-ordinated team of specialized autonomous objects (Manufactrons), each knowing how to do a certain process optimally. This knowledge based concept integrated the complete chain: production configuration (decrease of ramp-up time of at least 50%), multi-variant production line (varying types and volumes on a single line) and 100% quality monitoring. The manufactronic networked architecture allows continuous process improvement, and will be able to anticipate and to respond to rapidly changing consumer needs, producing high-quality products in adequate quantities while reducing costs. This concept is demonstrated in the automotive, aeronautics and electrical industry but can be transferred to nearly all production processes.
2012
Autores
Almeida, F; Cruz, J;
Publicação
ACM International Conference Proceeding Series
Abstract
In this paper, we propose an architecture based on three layers (infrastructure, server hardware and operating system, and business applications) for a unified communications solutions exclusively sustained on open source technologies and open standards. Additionally, we discuss the importance of open standards and open source in a fully integrated communications solution, exposing some factors that a company should consider when choosing open source software. Copyright 2012 ACM.
2011
Autores
Almeida, FLF;
Publicação
Journal of Industrial Engineering and Management
Abstract
Purpose: The goal of XPRESS is to establish a breakthrough for the factory of the future with a new flexible production concept based on the generic idea of "specialized intelligent process units" ("Manufactrons") integrated in cross-sectoral learning networks for a customized production. XPRESS meets the challenge to integrate intelligence and flexibility at the "highest" level of the production control system as well as at the "lowest" level of the singular machine. Design/methodology/approach: Architecture of a manufactronic networked factory is presented, making it possible to generate particular manufactrons for the specific tasks, based on the automatic analysis of its required features. Findings: The manufactronic factory concept meets the challenge to integrate intelligence and flexibility at the "highest" level of the production control system as well as at the "lowest" level of the singular machine. The quality assurance system provided a 100% inline quality monitoring, destructive costs reduced 30%-49%, the ramp-up time for the set-up of production lines decreased up to 50% and the changeover time decreased up to 80%. Research limitations/implications: Specific features of the designed manufactronic architecture, namely the transport manufactrons, have been tested as separate mechanisms which can be merged into the final comprehensive at a later stage.Practical implications: This concept is demonstrated in the automotive and aeronautics industries, but can be easily transferred to nearly all production processes. Using the manufactronic approach, industrial players will be able to anticipate and to respond to rapidly changing consumer needs, producing high-quality products in adequate quantities while reducing costs. Originality/value: Assembly units composed of manufactrons can flexibly perform varying types of complex tasks, whereas today this is limited to a few pre-defined tasks. Additionally, radical innovations of the manufactronic networked factory include the knowledge and responsibility segregation and trans-sectoral process learning in specialist knowledge networks.
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