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 …

[HTML][HTML] Mechanistic models for additive manufacturing of metallic components

HL Wei, T Mukherjee, W Zhang, JS Zuback… - Progress in Materials …, 2021 - Elsevier
Additive manufacturing (AM), also known as 3D printing, is gaining wide acceptance in
diverse industries for the manufacturing of metallic components. The microstructure and …

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

S Bag, LC Wood, L Xu, P Dhamija, Y Kayikci - Resources, conservation and …, 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 …

Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study …

R Dubey, A Gunasekaran, SJ Childe, DJ Bryde… - International journal of …, 2020 - Elsevier
The importance of big data analytics, artificial intelligence, and machine learning has been
at the forefront of research for operations and supply chain management. Literature has …

[HTML][HTML] Supply chain management in the era of circular economy: the moderating effect of big data

M Del Giudice, R Chierici, A Mazzucchelli… - … International Journal of …, 2021 - emerald.com
Purpose This paper analyzes the effect of circular economy practices on firm performance
for a circular supply chain and explores the moderating role that big-data-driven supply …

Big data driven supply chain design and applications for blockchain: An action research using case study approach

B Sundarakani, A Ajaykumar, A Gunasekaran - Omega, 2021 - Elsevier
Blockchain appears to still be nascent in its growth and a relatively untapped asset. This
research investigates the need of blockchain in Industry 4.0 environment from Big Data …

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 …

A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements

E Manavalan, K Jayakrishna - Computers & industrial engineering, 2019 - Elsevier
Supply Chain organizations in the present global environment operate in market that is
increasingly complex and dynamic in nature. Sustainable supply chain becomes inevitable …

[HTML][HTML] Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

M Seyedan, F Mafakheri - Journal of Big Data, 2020 - Springer
Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

Connecting circular economy and industry 4.0

S Rajput, SP Singh - International Journal of Information Management, 2019 - Elsevier
The purpose of this paper is to understand the hidden connection between Circular
Economy (CE) and Industry 4.0 in the context of supply chain. The factors responsible for …