How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation
Purpose: Smart manufacturing (SM) capitalizes on big data analytics (BDA) advancements by enhancing current capabilities such as defect identification and enabling supporting capabilities such as preventive maintenance (PM). The previous literature lacks to investigate the comprehensive associations...
Main Authors: | Samadhiya, Ashutosh, Naz, Farheen, Kumar, Anil, Garza-Reyes, Jose Arturo, Luthra, Sunil |
---|---|
Format: | Article |
Language: | English |
Published: |
Emerald
2023
|
Subjects: | |
Online Access: | https://repository.londonmet.ac.uk/9908/3/Accepted%20Version.pdf |
Similar Items
-
An environmental-based perspective framework: integrating IoT technology into a sustainable automotive supply chain
by: El Jaouhari, Asmae, et al.
Published: (2024) -
The effect of green supply chain management practices on carbon neutral supply chain performance: the mediating role of logistics ecocentricity
by: Naz, Farheen, et al.
Published: (2024) -
Achieving circularity is a distant dream: entrepreneurial barriers to circular business models in SMEs of emerging economies
by: Saharan, Akash, et al.
Published: (2023) -
Forging a green future: synergizing Industry 4.0 technologies and circular economy tactics to achieve net-zero in sustainable supply chains
by: El Jaouhari, Asmae, et al.
Published: (2024) -
Bridging realities into organizations through innovation and productivity: exploring the intersection of artificial intelligence, internet of things, and big data analytics in the metaverse environment using a multi-method approach
by: Samadhiya, Ashutosh, et al.
Published: (2024)