Big data analytics for intelligent manufacturing systems: A review

J Wang, C Xu, J Zhang, R Zhong - Journal of Manufacturing Systems, 2022 - Elsevier
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …

Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications

SS Kamble, A Gunasekaran, SA Gawankar - International Journal of …, 2020 - Elsevier
The lack of industrialization, inadequacy of the management, information inaccuracy, and
inefficient supply chains are the significant issues in an agri-food supply chain. The …

[HTML][HTML] Industry 4.0 and the human factor–A systems framework and analysis methodology for successful development

WP Neumann, S Winkelhaus, EH Grosse… - International journal of …, 2021 - Elsevier
The fourth industrial revolution we currently witness changes the role of humans in
operations systems. Although automation and assistance technologies are becoming more …

A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0

D Ivanov, A Dolgui - Production Planning & Control, 2021 - Taylor & Francis
We theorize a notion of a digital supply chain (SC) twin–a computerized model that
represents network states for any given moment in real time. We explore the conditions …

Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development

S Bag, S Gupta, S Kumar - International journal of production economics, 2021 - Elsevier
Industry 4.0 technologies provide digital solutions for the automation of manufacturing. In
circular economy-based models, the resources stay in the system as it experiences one of …

The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model

Y Li, J Dai, L Cui - International Journal of Production Economics, 2020 - Elsevier
Abstract Digital technologies for Industry 4.0, such as the Internet of Things, cloud
computing, big data and analytics, have attracted much attention from both researchers and …

[HTML][HTML] Smart factory performance and Industry 4.0

G Büchi, M Cugno, R Castagnoli - Technological Forecasting and Social …, 2020 - Elsevier
Existing literature on the Industry 4.0 concept does not empirically verify if, how, and for
which types of firms, a greater openness to enabling technologies of Industry 4.0 provides …

[HTML][HTML] Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities

P Mikalef, J Krogstie, IO Pappas, P Pavlou - Information & Management, 2020 - Elsevier
A central question for information systems (IS) researchers and practitioners is if, and how,
big data can help attain a competitive advantage. To address this question, this study draws …

Big data analytics as an operational excellence approach to enhance sustainable supply chain performance

S Bag, LC Wood, L Xu, P Dhamija, Y Kayikci - … , Conservation and Recycling, 2020 - Elsevier
Operations management is a core organizational function involved in the management of
activities to produce and deliver products and services. Appropriate operations decisions …

Logistics 4.0: a systematic review towards a new logistics system

S Winkelhaus, EH Grosse - International Journal of Production …, 2020 - Taylor & Francis
Enterprises are confronted with new customer requirements and challenged by global
competition leading to fundamental changes of today's industry. Against this background, at …