Digitalized Industry and Sustainability

Between Synergy and Dissonance

Frieder Schmelzle, Stefanie Kunkel, Marcel Matthess, Grischa Beier
JournalIndustrie 4.0 Management
Issue Volume 38, 2022, Edition 1, Pages 7-11
Open Accesshttps://doi.org/10.30844/I40M_22-1_7-11
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Abstract

A considerable part of global greenhouse gas emissions is caused in the industrial sector. Its digitialization is often seen as a means to increase sustainability. At the same time, ecological and social risks emerge. Their exploration is still in its infancy, however, previous findings point out multiple challenges. These must be conceptually taken into account in order to realize a sustainable industry 4.0. Building on a literature analysis, the following contribution presents current developments in research, industry, and policy. We shed light on a number of selected approaches, which aim at a sustainable industry 4.0. Finally, practical design options are outlined.

Keywords

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Bibliography

[1] IEA (International Energy Agency): Global energy-related CO2 emissions by sector. URL: https://www.iea.org/data-and-statistics/charts/global-energy-related-co2-emissions-by-sector, Abrufdatum 08.10.2021.
[2] Europäische Kommission: EU and the Paris Climate Agreement: Taking stock of progress at Katowice COP. Brüssel, 2018. URL: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM:2018:716:FIN, Abrufdatum 11.10.2021.
[3] Sachs, J. D.; Schmidt-Traub, G. u. a.: Six Transformations to achieve the Sustainable Development Goals. In: Nature Sustainability 2 (2019) 9, S. 805-814.
[4] Beier, G.; Fritzsche, K. u. a.: Grüne digitalisierte Wirtschaft?. Potsdam, 2020. URL: http://doi.org/10.2312/iass.2020.017, Abrufdatum 14.12.21.
[5] BMU (Bundesministerium für Umwelt, Naturschutz und nukleare Sicherheit): Umweltpolitische Digitalagenda. Berlin, 2020. https://www.bmu.de/publikation/umweltpolitische-digitalagenda/, Abrufdatum 14.12.2021.
[6] Kiel, D., Müller; J. M. u. a.: Sustainable industrial value creation: Benefits and challenges of industry 4.0. In: International Journal of Innovation Management 21 (2017) 8, S. 231-270.
[7] Semeraro, C.; Lezoche, M. u. a.: Digital twin paradigm: A systematic literature review. In: Computers in Industry 130 (2021), 103469.
[8] Beier, G.; Ullrich, A. u. a.: Industry 4.0: How it is defined from a sociotechnical perspective and how much sustainability it includes – A literature review. In: Journal of Cleaner Production 259 (2020), 120856.
[9] Beier, G.; Niehoff, S. u. a.: Industry 4.0: A step towards achieving the SDGs? A critical literature review. In: Discover Sustainability 2 (2021), S. 1-21.
[10] Waibel, M. W. ; Steenkamp, L. P. u. a.: Investigating the Effects of Smart Production Systems on Sustainability Elements. In: Procedia Manufacturing 8 (2017): S. 731-737.
[11] Barni, A.; Fontana, A. u. a.: Exploiting the Digital Twin in the Assessment and Optimization of Sustainability Performances. In: Jardim-Gonçalves, R.; Mendonça, J. P. u. a. (Hrsg.): International Conference on Intelligent Systems (IS). Funchal, 2018.
[12] Vogel-Heuser, B. Hess, D.: Industry 4.0-Prerequisites and Visions. In: Transactions on Automation Science and Engineering 13 (2016) 2, S. 411-413.
[13] Tang, H.; Yang, X. u. a.: Effort at Constructing Big Data Sensor Networks for Monitoring Greenhouse Gas Emission. In: International Journal of Distributed Sensor Networks 10 (2014) 7, 619608.
[14] Kenney, M.; Zysman, J.: The Rise of the Platform Economy. In: Issues in Science and Technology 32 (2016) 3, S. 61-69.
[15] WBGU (Wissenschaftlicher Beirat der Bundesregierung Globale Umweltveränderungen): Towards Our Common Digital Future. Berlin, 2019. URL: https://www.wbgu.de/en/publications/publication/towards-our-common-digital-future, Abrufdatum 14.12.2021.
[16] Plepys, A.; Singh, J.: Evaluating the sustainability impacts of the sharing economy using input-output analysis. In: Mont, O. (Hrsg.): A Research Agenda for Sustainable Consumption Governance. Cheltenham, 2019.
[17] GeSI (Global Enabling Sustainability Initiative): Digital Solutions for Climate Action. Brüssel, 2020. URL: https://gesi.org/research/download/52, Abrufdatum 14.12.2021.
[18] Agora Energiewende: Energiewende 2030: The Big Picture – Megatrends, Ziele, Strategien und eine 10-Punkte-Agenda für die zweite Phase der Energiewende. Berlin, 2017. URL: https://www.agora-energiewende.de/veroeffentlichungen/energiewende-2030-the-big-picture/, Abrufdatum 14.12.2021.
[19] Rohde, F.; Gährs, S. u. a.: Wie viele Bits braucht die Energiewende?. Berlin, 2020. URL: https://www.nachhaltige-digitalisierung.de/bits-baeume/forum-bits-baeume.html, Abrufdatum 14.12.2021.
[20] Heutmann, T.; Schmitt, R.: Energieorientierte Produktionsplanung und -steuerung – Höhere Energieeffizienz durch intelligentes MES-Softwaremodul. In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 112 (2017) 9, S. 563-566.
[21] Shrouf, F.; Miragliotta, G.: Energy management based on Internet of Things: practices and framework for adoption in production management. In: Journal of Cleaner Production 100 (2015), S. 235-246.
[22] Pechmann, A.; Shrouf, F. u. a.: Load-shifting potential at SMEs manufacturing sites: A methodology and case study. In: Renewable and Sustainable Energy Reviews 78 (2017) C, S. 431-438.
[23] Europäische Kommission: Der europäische Grüne Deal. Brüssel, 2019. URL: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM%3A2019%3A640%3AFIN, Abrufdatum 14.12.2021.
[24] Marschneider-Weidemann, F.; Langkau, S. u. a.: Rohstoffe für Zukunftstechnologien. Berlin, 2016. URL: https://www.isi.fraunhofer.de/content/dam/isi/dokumente/ccn/2016/Studie_Zukunftstechnologien-2016.pdf, Abrufdatum 14.12.2021.
[25] Coderre-Proulx, M.; Campbell, B. u. a.: International Migrant Workers in the Mining Sector. Genf, 2016. URL: https://www.ilo.org/wcmsp5/groups/public/—ed_protect/—protrav/—migrant/documents/publication/wcms_538488.pdf, Abrufdatum 14.12.2021.
[26] Manhart, A.; Vogt, R. u. a.: The environmental criticality of primary raw materials — a new methodology to assess global environmental hazard potentials of minerals and metals from mining. In: Mineral Economics 32 (2019) 1, S. 91-107.
[27] Europäische Kommission: Verordnung über Mineralien aus Konfliktgebieten: Wissenswertes über die Verordnung. Brüssel, 2020. URL: https://ec.europa.eu/trade/policy/in-focus/conflict-minerals-regulation/regulation-explained/index_de.htm, Abrufdatum 13.12.2021.
[28] UNEP (United Nations Environment Programme): Waste Crime – Waste Risks: Gaps in Meeting the Global Waste Challenge. Nairobi, 2015. URL: https://repub.eur.nl/pub/99476, Abrufdatum 14.12.2021.
[29] Hintemann, R.: Effizienzgewinne reichen nicht aus: Energiebedarf der Rechenzentren steigt weiter deutlich an. Berlin, 2018. URL: https://d-nb.info/1215359780/34, Abrufdatum 14.12.2021.
[30] Bitkom (Bundesverband Informationswirtschaft, Telekommunikation und neue Medien e. V.): Klimaschutz Durch Digitale Technologien – Chancen Und Risiken. Berlin, 2020. URL: https://www.bitkom.org/sites/default/files/2020-05/2020-05_bitkom_klimastudie_digitalisierung.pdf, Abrufdatum 17.12.2021.
[31] Andrae, A.: Comparison of Several Simplistic High-Level Approaches for Estimating the Global Energy and Electricity Use of ICT Networks and Data Centers. In: International Journal of Green Technology 5 (2019) 1, S. 50-63.
[32] UNIDO (United Nations Industrial Development Organization): Accelerating clean energy through Industry 4.0 – Manufacturing the next revolution. Wien, 2017. URL: https://www.unido.org/sites/default/files/2017-08/REPORT_Accelerating_clean_energy_through_Industry_4.0.Final_0.pdf, Abrufdatum 14.12.2021.
[33] ITU (International Telecommunication Union): For the first time, more than half of the world’s population is using the Internet. URL: https://www.itu.int/en/mediacentre/Pages/2018-PR40.aspx, Abrufdatum 19.09.2019.
[34] Aggarwal, A.; Gupta, S. u. a.: Adoption of smart and sustainable manufacturing practices: An exploratory study of Indian manufacturing companies. In: Journal of Engineering Manufacture (2021) August.
[35] Pease, S. G.; Trueman, R. u. a.: An intelligent real-time cyber-physical toolset for energy and process prediction and optimisation in the future industrial Internet of Things. In: Future Generation Computer Systems 79 (2018), S. 815-829.
[36] Židek, K.; Pitel’, J. u. a.: Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept. In: Sustainability 12 (2020) 9, S. 1-16.
[37] Jasiulewicz-Kaczmarek, M.; Legutko, S. u. a.: Maintenance 4.0 Technologies – New Opportunities for sustainability driven Maintenance. In: Management and Production Engineering Review 11 (2020) 2, S. 74-87.
[38] Esmaeilian, B; Sarkis, J. u. a.: Blockchain for the future of sustainable supply chain management in Industry 4.0. In: Resources, Conservation and Recycling 163 (2020), 105064.
[39] Venkatesh, V. G.; Kang, K. u. a.: System architecture for blockchain based transparency of supply chain social sustainability. In: Robotics and Computer-Integrated Manufacturing 63 (2020), 101896.
[40] GeSI (Global Enabling Sustainability Initiative); Deloitte: Digital with Purpose: Delivering a SMARTer 2030. Brüssel, 2019. URL: https://gesi.org/research/download/36, Abrufdatum 14.12.2021.
[41] Jabbour, C. J. C.; Fiorini, P. D. C. u.a.: Digitally-enabled sustainable supply chains in the 21st century : A review and a research agenda. In: Science of the Total Environment 725 (2020) 138177, S. 1-14.
[42] Bag, S.; Telukdarie, A. u. a.: Industry 4.0 and supply chain sustainability: framework and future research directions. In: Benchmarking: An International Journal 28 (2018), S. 1410-1450.
[43] Bundesregierung: Deutsche Nachhaltigkeitsstrategie. Berlin, 2018. URL: https://www.bundesregierung.de/breg-de/service/publikationen/deutsche-nachhaltigkeitsstrategie-aktualisierung-2018-1559086, Abrufdatum 14.12.2021.
[44] Kulbatzki, J.: Frankreich legt vor, wird die EU-Kommission nachziehen? URL: https://netzpolitik.org/2021/right-to-repair-frankreich-legt-vor-wird-die-eu-kommission-nachziehen/, Abrufdatum 14.12.2021.
[45] Europäische Kommission: Aktualisierung der Industriestrategie von 2020: hin zu einem stärkeren Binnenmarkt für die Erholung Europas. Brüssel, 2021. URL: https://ec.europa.eu/commission/presscorner/detail/de/ip_21_1884, Abrufdatum 14.12.2021.
[46] Europäische Kommission: Gestaltung der digitalen Zukunft Europas. Brüssel, 2020. URL: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM:2020:67:FIN, Abrufdatum 14.12.2021.
[47] Europäische Kommission: Eine neue Industriestrategie für Europa. Brüssel, 2020. URL: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52020DC0102, Abrufdatum 14.12.2021.
[48] Europäische Kommission: Eine KMU-Strategie für ein nachhaltiges und digitales Europa. Brüssel, 2020. URL: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM:2020:103:FIN, Abrufdatum 14.12.2021.
[49] Europäische Kommission: Europe’s strategy for international cooperation in a changing world. Brüssel, 2021. URL: https://eur-lex.europa.eu/legal-content/DA/TXT/?uri=COM%3A2021%3A0252%3AFIN, Abrufdatum 14.12.2021.
[50] Fritzsche, K.; Niehoff, S. u. a.: Industry 4.0 and Climate Change — Exploring the Science-Policy Gap. In: Sustainability 10 (2018) 4511, S. 1-17.
[51] Weihe, C.: Hinter den Bildschirmen – Energie- und Ressourcenbedarf der Digitalisierung. URL: https://www.oeko.de/e-paper/digitalisierung-konzepte-fuer-mehr-nachhaltigkeit/artikel/hinter-den-bildschirmen/, Abrufdatum 14.12.2021.
[52] Renn, O.; Beier, G. u. a.: The opportunities and risks of digitalisation for sustainable development: A systemic perspective. In: GAIA 30 (2021) 1, S. 23-28.

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