Title of article :
Green supply chain based on artificial intelligence of things (AIoT)
Author/Authors :
Ghahremani Nahr ، Javid Academic Center for Education, Culture and Research (ACECR) , Nozari ، Hamed Department of Industrial Engineering - Islamic Azad University, Central Tehran Branch , Sadeghi ، Mohammad Ebrahim Department of Industrial Management - Faculty of Management - University of Tehran
Abstract :
Purpose: The most important driving force for the IoT is artificial intelligence. The dramatic growth of the Internet of Things in various fields necessitates the use of artificial intelligence capabilities in the optimal use of data. By combining these technologies, it reduces cost, automation and productivity more dynamically. This hybrid technology is called artificial intelligence of things (AIoT). Methodology: Intelligent solutions in the supply chain, i.e. the use of the Internet of Things with the capability of artificial intelligence, has been able to make various industries great. Findings: Due to the colorful role of IoT technology in the sustainability of industrial systems, this paper provides a framework for the implementation of an AIoT-based green supply chain. This framework shows a clear path to understanding the impact of this hybrid supply chain technology. Originality/Value: In his paper, a framework for the implementation of an AIoT-based green supply chain is provided.
Keywords :
Internet of Things (IoT) , Green Supply Chain , Artificial Intelligence of Things (AIoT) , AIoT Based Green Supply Chain
Journal title :
International Journal of Innovation in Management Economics and Social Sciences
Journal title :
International Journal of Innovation in Management Economics and Social Sciences