One of the most actual and consistent driver for industry is sustainability. This topic opens at different problems according to the three sustainability pillars: environment, economic, and social. Regarding the last one, there is a lack for methodologies and tools. Moreover, industries are crossing today a crucial transition in terms of technologies. The so called fourth industrial revolution is ongoing. This is a second challenge for industries that needs to be competitive reducing their time to market integrating new technologies on their production sites. From these perspectives, this work is aimed at highlighting the role of the humans under the Industry 4.0 paradigm. A new transdisciplinary engineering method to favour the sustainable manufacturing is provided. It allows designing a connected environment (IoT framework) aimed at measuring and promoting social sustainability on production sites. The work also remarks the relationship between social sustainability and productivity. Indeed, optimizing the human works permits to improve the quality of the working conditions while improving efficiency of the production system. The case study was performed at an Italian sole producer. The goal of the analysis was to improve and innovate the finishing area of the plant from a social point of view with the perspective of digital manufacturing. An IoT framework has been installed, without affecting the productivity, and the work of 2 operators has been compared in order to identify common problems and define a synergy strategy.

IoT to Enable Social Sustainability in Manufacturing Systems / Papetti, Alessandra; Gregori, Fabio; Pandolfi, Monica; Peruzzini, Margherita; Germani, Michele. - 7:(2018), pp. 53-62. [10.3233/978-1-61499-898-3-53]

IoT to Enable Social Sustainability in Manufacturing Systems

Peruzzini Margherita
;
2018

Abstract

One of the most actual and consistent driver for industry is sustainability. This topic opens at different problems according to the three sustainability pillars: environment, economic, and social. Regarding the last one, there is a lack for methodologies and tools. Moreover, industries are crossing today a crucial transition in terms of technologies. The so called fourth industrial revolution is ongoing. This is a second challenge for industries that needs to be competitive reducing their time to market integrating new technologies on their production sites. From these perspectives, this work is aimed at highlighting the role of the humans under the Industry 4.0 paradigm. A new transdisciplinary engineering method to favour the sustainable manufacturing is provided. It allows designing a connected environment (IoT framework) aimed at measuring and promoting social sustainability on production sites. The work also remarks the relationship between social sustainability and productivity. Indeed, optimizing the human works permits to improve the quality of the working conditions while improving efficiency of the production system. The case study was performed at an Italian sole producer. The goal of the analysis was to improve and innovate the finishing area of the plant from a social point of view with the perspective of digital manufacturing. An IoT framework has been installed, without affecting the productivity, and the work of 2 operators has been compared in order to identify common problems and define a synergy strategy.
2018
27-ago-2018
no
Inglese
http://ebooks.iospress.nl/volumearticle/49785
Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0
Peruzzini, Margherita; Pellicciari, Marcello; Bil, C.; Stjepandic, Josip; Wognum, Nel
7
53
62
9781614998976
9781614998983
IOS Press BV
PAESI BASSI
NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
Digital manufacturing; Human factors; Industry 4.0; Social sustainability; Sustainable manufacturing;
IoT to Enable Social Sustainability in Manufacturing Systems / Papetti, Alessandra; Gregori, Fabio; Pandolfi, Monica; Peruzzini, Margherita; Germani, Michele. - 7:(2018), pp. 53-62. [10.3233/978-1-61499-898-3-53]
Papetti, Alessandra; Gregori, Fabio; Pandolfi, Monica; Peruzzini, Margherita; Germani, Michele
5
Contributo su VOLUME::Capitolo/Saggio
268
open
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1165027
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