A multi-agent based big data analytics system for viable supplier selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-023-02253-7.pdf
Reference103 articles.
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2. Ageron, B., Bentahar, O., & Gunasekaran, A. (2020). Digital supply chain: Challenges and future directions. Supply Chain Forum: An International Journal, 21 No(3), 133–138. https://doi.org/10.1080/16258312.2020.1816361
3. Albino, V., Balice, A., & Dangelico, R. M. (2009). Environmental strategies and green product development: An overview on sustainability-driven companies. Business Strategy and the Environment, 18 No(2), 83–96. https://doi.org/10.1002/bse.638
4. Alcácer, V., & Cruz-Machado, V. (2019). Scanning the industry 4.0: A Literature Review on technologies for Manufacturing systems. Engineering Science and Technology an International Journal, 22 No(3), 899–919. https://doi.org/10.1016/j.jestch.2019.01.006
5. Amindoust, A. (2018). A resilient-sustainable based supplier selection model using a hybrid intelligent method. Computers & Industrial Engineering, 126, 122–135. https://doi.org/10.1016/j.cie.2018.09.031
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