Dynamic Integration of Mould Industry Analytics and Design Forecasting - Collaboration in a Data-Rich World
Conference Papers Year : 2017

Dynamic Integration of Mould Industry Analytics and Design Forecasting

Abstract

The aim of this paper is concerned with a conceptual framework to get about the smart factory concept in the mould/tools industry, by retrieving knowledge from historical data and data analysis. Specifically, it will be addressed the requirements to design and develop the next generation of open decision making informatics systems as tools for high variability manufacturing systems as in the tooling industry. The proposed open computational platform as open informatics systems (I-systems) developed under the specifications of the conceptual framework mention above will combine new balancing and simulation algorithms that allow the optimization of the production systems suggesting new and credible collaborative production sequences in a forecasting manner. Coupling smart monitoring with real-time decision support I-systems, the proposed approach will be able to cope with the aim of reducing lead-times and costs on the shop floor. The proposed open system of systems approach aims at contributing to adaptive higher integration levels, contribute for a collaborative factory and, at the same time, reduce the vendor lock-in dependencies risks.
Fichier principal
Vignette du fichier
455531_1_En_57_Chapter.pdf (358.56 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01674864 , version 1 (03-01-2018)

Licence

Identifiers

Cite

João Calado, A. Luis Osório. Dynamic Integration of Mould Industry Analytics and Design Forecasting. 18th Working Conference on Virtual Enterprises (PROVE), Sep 2017, Vicenza, Italy. pp.649-657, ⟨10.1007/978-3-319-65151-4_57⟩. ⟨hal-01674864⟩
119 View
163 Download

Altmetric

Share

More