A Novel Paradigm to Artificial Intelligence in Transforming Supply Chain Management in the Agile Business World

Growth and progress of information technology is responsible for bringing inmore and more intensive competition on the global scale for all the business sectors. It is forecasted by number of companies that with the presence of AI, a noticeable change in operation and supply chain management will be...

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Bibliographic Details
Published in2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) pp. 1 - 6
Main Authors Pattnaik, Manjula, Vijayalakshmi, N.S, Sharma, Megha, Kumar, Anand, Sharaschandra, K S
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.07.2022
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Summary:Growth and progress of information technology is responsible for bringing inmore and more intensive competition on the global scale for all the business sectors. It is forecasted by number of companies that with the presence of AI, a noticeable change in operation and supply chain management will be seen, and this will be from planning, scheduling, optimization to transportation. As far as "supply chain management" is considered, people will show more interest in machine learning, artificial intelligence, and other intelligent technologies. In last few years it is proved that artificial intelligence has become an extension of human brains that has expanded their cognitive capabilities to such an extent that was never thought to be a reality. It is not true that artificial intelligence will replace the humans, but yes, they will help them to unleash their real strategic and creative potentials. A sample of 209 supply chain managers from different sectors was surveyed to conduct the present study and mean and t-test was applied to analyse the data. Artificial intelligence is playing so many essential roles in modern supply chain management and some of its important roles are explored in present study. The study also concludes that the supply chain management is significantly affected using artificial intelligence.
DOI:10.1109/ICSES55317.2022.9914144