Sustainable manufacturing in industry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and ai-driven decision-making

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Abstract

We inspect the relevant literature on sustainable manufacturing in Industry 4.0, providing both quantitative evidence on trends and numerous in-depth empirical examples. Building our argument by drawing on data collected from BCG, Deloitte, LMTPE-RWTH Aachen University, PwC, and Statista, we performed analyses and made estimates regarding awareness and usage of smartphone applications featuring machine learning (%), elements that are expected to be highly relevant along the automotive value chain in 2030 (%), and share of companies investing in artificial intelligence worldwide (%, by industry). Data collected from 4,600 respondents are tested against the research model by using structural equation modeling.

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Hayhoe, T., Podhorska, I., Siekelova, A., & Stehel, V. (2019). Sustainable manufacturing in industry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and ai-driven decision-making. Journal of Self-Governance and Management Economics, 7(2), 31–36. https://doi.org/10.22381/JSME7220195

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