Integrating AI and machine learning with SAP Manufacturing Execution Systems (MES) for smart factories
1 Accenture USA.
2 Paypal, USA.
3 Pfizer, USA.
Research Article
World Journal of Advanced Research and Reviews, 2024, 21(03), 2617-2634
Publication history:
Received on 06 December 2023; revised on 27 March 2024; accepted on 29 March 2024
Abstract:
The following paper explores how AI and ML bring value to smart factories by inserting SAP Manufacturing Execution Systems (MES). Advanced applications of AI and ML technologies hold incredible promise in manufacturing as a vehicle for leveraging data to improve business performance and make more accurate decisions. When implemented within SAP MES, key performance indicators are increased through monitoring and real-time decision-making while using resources most effectively through demand forecasting, optimization of material usage, and synchronizing the provision of resources and supplies.
This integration, the study shows, holds several valuable advantages: more visibility into operations is attained, and downtime is endangered, which can be counteracted before exacerbating. Also, the analysis supported by AI enables manufacturers to make correct decisions that increase performance and decrease expenses. However, the paper also underlines important limitations like implementation issues, data security, and business people's capabilities to manage new structures based on AI systems.
Ethical issues and legal requirements become relevant issues in implementing AI and ML facilities effectively. Algorithms should be transparent, decisions should not be based on discrimination, and successful development must follow privacy policies.
The studies show how AI and ML complement an SAP MES solution to set up manufacturers to compete effectively in a rapidly evolving industrial economy. This integration is not only effective for the operations, but it also creates the right model for the manufacturer.
Keywords:
Ai; Machine Learning; Sap Mes; Smart Factories; Manufacturing Optimization; Decision-Making; Ethical Considerations
Full text article in PDF:
This paper has received CERTIFICATE OF BEST PAPER (Volume 21, Issue 3, Year 2024).
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0