Sustainable manufacturing in Industry 4.0: an emerging research agenda

CG Machado, MP Winroth… - International Journal of …, 2020 - Taylor & Francis
This systematic review intends to identify how sustainable manufacturing research is
contributing to the development of the Industry 4.0 agenda and for a broader understanding …

Is digitalization a driver to enhance environmental performance? An empirical investigation of European countries

TTL Huong, TT Thanh - Sustainable Production and Consumption, 2022 - Elsevier
This article is the first to analyze empirically the impact of digitalization on environmental
performance, using a database of 25 European countries over the period 2015–2020. We …

A big data-driven framework for sustainable and smart additive manufacturing

A Majeed, Y Zhang, S Ren, J Lv, T Peng… - Robotics and Computer …, 2021 - Elsevier
From the last decade, additive manufacturing (AM) has been evolving speedily and has
revealed the great potential for energy-saving and cleaner environmental production due to …

Link between sustainability and industry 4.0: trends, challenges and new perspectives

LB Furstenau, MK Sott, LM Kipper, EL Machado… - Ieee …, 2020 - ieeexplore.ieee.org
The increasing number of studies that underline the relationship between industry 4.0 and
sustainability shows that sustainability is one of the pillars of smart factories. Through a …

Industry 4.0 adoption for sustainability in multi-tier manufacturing supply chain in emerging economies

M Sharma, S Kamble, V Mani, R Sehrawat… - Journal of cleaner …, 2021 - Elsevier
Achieving sustainable supply chain performance in a multi-tier manufacturing supply chain
to curtail the non-environmental-friendly practices is one of the most significant challenges …

A survey of predictive maintenance: Systems, purposes and approaches

Y Ran, X Zhou, P Lin, Y Wen, R Deng - arXiv preprint arXiv:1912.07383, 2019 - arxiv.org
This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …

Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains

RD Raut, SK Mangla, VS Narwane, M Dora… - … Research Part E …, 2021 - Elsevier
The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has not
been explored much in the literature. This study investigates the role of 'Big Data …

Data-driven smart manufacturing

F Tao, Q Qi, A Liu, A Kusiak - Journal of Manufacturing Systems, 2018 - Elsevier
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …

Artificial-intelligence-driven customized manufacturing factory: key technologies, applications, and challenges

J Wan, X Li, HN Dai, A Kusiak… - Proceedings of the …, 2020 - ieeexplore.ieee.org
The traditional production paradigm of large batch production does not offer flexibility toward
satisfying the requirements of individual customers. A new generation of smart factories is …

A review of emerging industry 4.0 technologies in remanufacturing

M Kerin, DT Pham - Journal of cleaner production, 2019 - Elsevier
This paper reviews the literature on the emerging digital technologies of Industry 4.0 (I4. 0)
focussed on the applicability of the Internet of Things (IoT), Virtual Reality (VR) and …