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Next-Generation Big Data-Driven Factory 4.0 Operations and Optimization: The Boost 4.0 Experience

Year: 2022

Type: book-chapter

Abstract: This chapter presents the advanced manufacturing processes and big data-driven algorithms and platforms leveraged by the Boost 4.0 big data lighthouse project that allows improved digital operations within increasingly automated and intelligent shopfloors. The chapter illustrates how three different companies have been able to implement three distinct, open, yet sovereign cross-factory data spaces under a unified framework: the Boost 4.0 big data reference architecture and Digital Factory Alliance (DFA) service development framework.

Source: Springer eBooks

DOI: 10.1007/978-3-030-78307-5_16

Authors: Oscar Lázaro, Jesús Alonso, Philip Ohlsson, Bas Tijsma, Dominika Lekse, Bruno Volckaert, Sarah Kerkhove, Joachim Nielandt, Davide Masera, Gaetano Patrimia, Pietro Pittaro, Giuseppe Mulè, Edoardo Pellegrini, Daniel Köchling, Thanasis Naskos, Ifigeneia Metaxa, Salome Leßmann, Sebastian von Enzberg

Institutions: Asociación Innovalia, Innovalia (Spain), Philips (Netherlands), IMEC, Centro Ricerche FIAT, Prima Industrie (Italy), Siemens (Italy), Benteler (Germany), Fraunhofer Institute for Mechatronic Systems Design

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funder: European Commission

Awards: Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0, G434337789

OpenAlex ID: W4293172959

FWCI: 1.238

Cites:

Cited by: 2

Related to: 10