Supply Chain Decision-Making Using Artificial Intelligence and Data Analytics-Reference-Cited by-同舟云学术

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Supply Chain Decision-Making Using Artificial Intelligence and Data Analytics

Published:2023-10-01 Issue: Volume: Page:25-34
ISSN:2345-7651
Container-title:Environmental Footprints and Eco-design of Products and Processes
language:
Short-container-title:

Author:

Akanbi Lukman A.,Adenuga Kayode I.,Owolabi Hakeem

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-4819-2_2

Reference46 articles.

1. Akan MÖA, Dhavale DG, Sarkis J (2017) Greenhouse gas emissions in the construction industry: an analysis and evaluation of a concrete supply chain. J Clean Prod 167:1195–1207

2. Badurdeen F, Jawahir IS (2017) Strategies for value creation through sustainable manufacturing. Proc Manufact 8:20–27

3. Bag S, Pretorius JHC (2022) Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework. Int J Organ Anal 30(4):864–898 https://doi.org/10.1108/IJOA-04-2020-2120

4. Bag S, Wood LC, Xu L, Dhamija P, Kayikci Y (2020) Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resour Conserv Recycl 153:104559

5. Belhadi A, Kamble S, Fosso Wamba S, Queiroz MM (2021) Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework

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1. Blockchain-IIoT Integration: Revolutionizing Smart Manufacturing Process Monitoring;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

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