Intelligent Spare Parts Management for Medical Equipment: Integration of GenAI with SAP Materials Management

Authors

  • Tushar Chaudhari Sr. Manager ERP, West Pharmaceutical Services Author

Keywords:

SAP Materials Management (SAP MM),” “Generative AI (GenAI)”, “Predictive Maintenance”, “Healthcare Supply Chain Management (SCM),” “Inventory Optimization,” “Spare Parts Procurement

Abstract

This research analyses how to unite SAP MM with AI technology to enhance spare
parts buying and predict when parts need repair in healthcare supply chains. The analysis
demonstrates how AI systems deliver better predictions while cutting costs and ensuring
materials availability. Real-life tests at NHS Trust UK, Siemens Healthineers and GE
Healthcare show that AI strengthens SAP systems to benefit healthcare operations. Despite
limitations of data sample size and system adoption barriers, here suggest connecting data
instantly and making AI systems grow larger. Through this work, here discover ways to use
smart inventory systems that reduce healthcare expenses and ensure service reliability.

Downloads

Published

2024-08-30

Issue

Section

Articles

How to Cite

Intelligent Spare Parts Management for Medical Equipment: Integration of GenAI with SAP Materials Management. (2024). INTERNATIONAL JOURNAL OF MANAGEMENT RESEARCH AND REVIEW, 14(6), 54-65. https://ijmrr.com/index.php/ijmrr/article/view/264

Most read articles by the same author(s)