Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks-Reference-Cited by-同舟云学术

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Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks

Published:2023-11-15 Issue: Volume: Page:1-22
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Brintrup Alexandra¹^ORCID,Kosasih Edward¹^ORCID,Schaffer Philipp¹,Zheng Ge¹,Demirel Guven²,MacCarthy Bart L.³

Affiliation:

1. Department of Engineering, Institute for Manufacturing, University of Cambridge, Cambridge, UK

2. School of Business and Management, Queen Mary University of London, London, UK

3. Nottingham University Business School, University of Nottingham, Nottingham, UK

Funder

Engineering and Physical Sciences Research Council

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2270719

Reference71 articles.

1. Automated detection of counterfeit ICs using machine learning

2. Flavor network and the principles of food pairing

3. Strategic supplier selection under sustainability and risk criteria

4. The state-of-the-art on Intellectual Property Analytics (IPA): A literature review on artificial intelligence, machine learning and deep learning methods for analysing intellectual property (IP) data

5. Transparency in food supply chains: A review of enabling technology solutions

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2. Integrating industry 4.0 technologies in defense manufacturing: Challenges, solutions, and potential opportunities;Array;2024-09

3. Machine learning in smart production logistics: a review of technological capabilities;International Journal of Production Research;2024-07-22

4. Smart and Secure Supply Chains in the New Era Using Artificial Intelligence;2024-07-22

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