Integration of I4.0 technologies with maintenance processes: what are the effects on sustainable manufacturing?

Autor: Benoît Iung, Chiara Franciosi, Alexandre Voisin, Salvatore Miranda
Přispěvatelé: University of Salerno (UNISA), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Voisin, Alexandre
Rok vydání: 2020
Předmět:
Zdroj: 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, AMEST 2020
4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, AMEST 2020, Sep 2020, Cambridge, United Kingdom
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2020.11.001
Popis: International audience; Manufacturing organisations have a huge impact on the three pillars of sustainability (i.e. economic, environmental and social), becoming crucial stakeholders for sustainable value creation. In the meantime, the 4th industrial revolution, characterized by several technologies that allow digitalisation, optimisation, automation, customisation and more communication, is in progress. Thus, the ‘Industry 4.0’ can be an enabler for industrial sustainable development. Maintenance processes, which are fundamental for ensuring sustainable operation of manufacturing systems, can benefit from these technologies, with a consequent improvement of maintenance and manufacturing performance. Therefore, a strong synergy between I4.0 technologies and industrial maintenance processes for promoting sustainable manufacturing occurs. Nevertheless, to date, no study investigates thoroughly the effects of such potential synergy on sustainable manufacturing. The aim of this study is two-fold. First, identifying the relation between maintenance processes and I4.0 technologies; then, analysing the positive effects of their integration on the economic, environmental and social dimensions of sustainable manufacturing. Finally, a preliminary analysis was also conducted to shed light on the negative effects of this synergy on sustainability.
Databáze: OpenAIRE