This paper discusses the problems of material and information flow in a complex product manufacturing process. It presents an ICT solution that augments Kanbans in order to enable flexible and pervasive control on state and delivery of material on workstations. The paper deliberates methods and tools that can be possibly applied in such production systems. The best-practices and modern technologies are taken into consideration in the context of small-medium enterprises (SMEs). It is assumed that important factors and constraints are: low costs, low instrumentations, and high flexibility. The complexity of products and the manufacturing systems makes the management and control process even more difficult. The deployment of distributed intelligence and decision support systems can facilitate the compliance with industrial standards and the migration towards the automation levels required by industry 4.0 also in SMEs.

Symbiotic cyber-physical Kanban 4.0: an Approach for SMEs / Stadnicka, Dorota; Bonci, Andrea; Lorenzoni, Emanuele; Dec, Grzegorz; Pirani, Massimiliano. - ELETTRONICO. - 1:(2020), pp. 140-147. (Intervento presentato al convegno 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020 tenutosi a Vienna, Austria nel 8-11 Sept. 2020) [10.1109/ETFA46521.2020.9212073].

Symbiotic cyber-physical Kanban 4.0: an Approach for SMEs

Andrea Bonci;Emanuele Lorenzoni;Massimiliano Pirani
2020-01-01

Abstract

This paper discusses the problems of material and information flow in a complex product manufacturing process. It presents an ICT solution that augments Kanbans in order to enable flexible and pervasive control on state and delivery of material on workstations. The paper deliberates methods and tools that can be possibly applied in such production systems. The best-practices and modern technologies are taken into consideration in the context of small-medium enterprises (SMEs). It is assumed that important factors and constraints are: low costs, low instrumentations, and high flexibility. The complexity of products and the manufacturing systems makes the management and control process even more difficult. The deployment of distributed intelligence and decision support systems can facilitate the compliance with industrial standards and the migration towards the automation levels required by industry 4.0 also in SMEs.
2020
PROCEEDINGS OF THE 25th IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION ETFA20
978-1-7281-8956-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/284698
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