Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Integrating AI and machine learning with SAP Manufacturing Execution Systems (MES) for smart factories

Breadcrumb

  • Home
  • Integrating AI and machine learning with SAP Manufacturing Execution Systems (MES) for smart factories

Sachin Chaudhari 1, *, Debasis Panda 2 and Indrajit Zope 3

1 Accenture USA.
2 Paypal, USA.
3 Pfizer, USA.
 
Research Article
World Journal of Advanced Research and Reviews, 2024, 21(03), 2617-2634
Article DOI: 10.30574/wjarr.2024.21.3.0127
DOI url: https://doi.org/10.30574/wjarr.2024.21.3.0127
 
Received on 06 December 2023; revised on 27 March 2024; accepted on 29 March 2024
 
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.
 
Ai; Machine Learning; Sap Mes; Smart Factories; Manufacturing Optimization; Decision-Making; Ethical Considerations
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-0127.pdf

Preview Article PDF

Sachin Chaudhari, Debasis Panda and Indrajit Zope. Integrating AI and machine learning with SAP Manufacturing Execution Systems (MES) for smart factories. World Journal of Advanced Research and Reviews, 2024, 21(3), 2617-2634. Article DOI: https://doi.org/10.30574/wjarr.2024.21.3.0127

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution