Effective Usage of Artificial Intelligence in Enterprise Resource Planning Applications |
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| © 2023 by IJCTT Journal | ||
| Volume-71 Issue-4 |
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| Year of Publication : 2023 | ||
| Authors : Arjun Reddy Kunduru | ||
| DOI : 10.14445/22312803/IJCTT-V71I4P109 | ||
How to Cite?
Arjun Reddy Kunduru, "Effective Usage of Artificial Intelligence in Enterprise Resource Planning Applications," International Journal of Computer Trends and Technology, vol. 71, no. 4, pp. 73-80, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I4P109
Abstract
An essential area of computer science called artificial intelligence is transitioning into a new industry. Understanding what artificial intelligence is and how it is incorporated into different business apps is crucial because the idea is broad and complicated. The primary objective of the paper is to investigate artificial intelligence and how enterprise resource planning utilizes it. The study of artificial intelligence, machine learning, deep learning, and neural networks is also covered in greater depth in this paper. This research examines various books and online pieces about artificial intelligence in ERP on the basis of extant literature. According to the research, the effect of AI is apparent as businesses achieve a new level of analysis efficiency in various ERP areas due to amazing advancements in AI, machine learning, and deep learning. In many areas of ERP, artificial intelligence is heavily utilized, particularly in customer support, predictive analysis, and sales projections.
Keywords
Artificial Intelligence, Enterprise Resource Planning, Manufacturing, Inventory.
Reference
[1] Rui Lin, “Analysis on the Application of Artificial Intelligence in the Global Value Chain Upgrade of Manufacturing Enterprises,” 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture, pp. 1400-1404, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] D. Srinivasan, Ruey Long Cheu, and Chuan Wei Tan, “Development of an Improved ERP System using GPS and AI Techniques,” Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Jorge Ribeiro et al., “Robotic Process Automation and Artificial Intelligence in Industry 4.0–a Literature Review,” Procedia Computer Science, vol. 181, pp. 51-58, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Marinos Themistocleous, Zahir Irani, and Robert M. O’Keefe, “ERP and Application Integration: Exploratory Survey,” Business Process Management Journal, vol. 7, no. 3, pp. 195-204, 2001.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Jacob Bergdahl, “The AI Revolution: A Study on the Present and Future Application and Value of AI in the Context of ERP Systems,”
[6] Oumaima El Hairech, and Abdelouahid Lyhyaoui, “The New Generation of ERP in the Era of Artificial Intelligence and Industry 4.0,” Advanced Intelligent Systems for Sustainable Development (AI2SD’2020), pp. 1086-1094, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Teodora Ivanović, and Mirjana Marić, “Application of Modern Enterprise Resource Planning (ERP) Systems in the Era of Digital Transformation,” Strategic Management, vol. 26, no. 4, pp. 28-36, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Izabela Rojek, and Mieczyslaw Jagodziński, “Hybrid Artificial Intelligence System in Constraint based Scheduling of Integrated Manufacturing ERP Systems,” Hybrid Artificial Intelligent Systems, pp. 229-240, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Petya Biolcheva, and Migiena Molhova, “Integration of AI Supported Risk Management in ERP Implementation,” Computer and Information Science, vol. 15, no. 3, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Jianyu Fu, Tetsuki Taniguchi, and Yoshio Karasawa, “The Largest Eigenvalue Characteristics for MIMO Channel with Spatial Correlation,” Electronics and Communications in Japan (Part I: Communications), vol. 87, no. 12, pp. 18-27, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Peter Dauvergne, “Is Artificial Intelligence Greening Global Supply Chains? Exposing the Political Economy of Environmental Costs,” Review of International Political Economy, vol. 29, no. 3, pp. 696-718, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[12] V.V. Narendra Kumar, and T. Satish Kumar, “Smarter Artificial Intelligence with Deep Learning,” SSRG International Journal of Computer Science and Engineering, vol. 5, no. 6, pp. 10-16, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[13] C. Sneha et al., Global Journal of Engineering Science and Researches.
[14] Samantha Mathara Arachchi, Siong Choy Chong, and A. D. S. M. Lakshanthi, “Literature Based Review–Risks in ERP Systems Including Asian Countries,” European Journal of Computer Science and Information Technology, vol. 3, no. 1, pp. 1-14, 2015.
[Google Scholar] [Publisher Link]
[15] A.J. Tallón-Ballesteros, “The Design of ERP Intelligent Sales Management System,” Fuzzy Systems and Data Mining VI, 2020.
[CrossRef] [Google Scholar]
[16] Jigar K Patel, “Critical Success Factors for Implementation of Enterprise Resource Planning Software,” SSRG International Journal of Computer Science and Engineering, vol. 8, no. 2, pp. 1-5, 2021.
[CrossRef] [Publisher Link]
[17] Zhengzhong Shi, and Gang Wang, “Integration of Big-data ERP and Business Analytics (BA),” The Journal of High Technology Management Research, vol. 29, no. 2, pp. 141-150, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Cemal Aktürk, “Artifıcial Intelligence in Enterprise Resource Planning Systems: A Bibliometric Study,” Journal of International Logistics and Trade, vol. 19, no. 2, pp. 69-82, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Vegard Kolbjørnsrud, Richard Amico, and Robert J. Thomas, “How Artificial Intelligence will Redefine Management,” Harvard Business Review, vol. 2, no. 1, pp. 3-10.
[20] Shrutika Mishra, and A.R. Tripathi, “AI Business Model: An Integrative Business Approach,” Journal of Innovation and Entrepreneurship, vol. 10, 2021.
[CrossRef] [Google Scholar] [Publisher Link]