Leveraging Predictive Analytics and AI Techniques to Enhance the Efficiency in Supply Chain Management: A Case Study to Optimize Supply Chain Characteristics
College of Technology, Purdue University, Hammond, Indiana, 46323, United States; Lavanya Samineni; Sai Saran Ogoti; College of Technology, Purdue University, Hammond, Indiana, 46323, United States; Afshin Zahraee; Construction Science and Organizational Leadership City, Purdue University, Hammond, Indiana, 46323, United States; Lash Mapa; Mechanical Engineering Technology, Purdue University, Hammond,Indiana,46323, United States
- Published
- Publisher
- Nexus Press B. V.
- Journal / collection
- Journal of Decision Science and Optimization
- Research area
- Industrial systems
- Source type
- Journal article
- DOI
- 10.55578/jdso.2506.003
The original publisher provides the full text and its access options.
Cite this source
College of Technology, Purdue University, Hammond, Indiana, 46323, United States; Lavanya Samineni; Sai Saran Ogoti; College of Technology, Purdue University, Hammond, Indiana, 46323, United States; Afshin Zahraee; Construction Science and Organizational Leadership City, Purdue University, Hammond, Indiana, 46323, United States; Lash Mapa; Mechanical Engineering Technology, Purdue University, Hammond,Indiana,46323, United States. Leveraging Predictive Analytics and AI Techniques to Enhance the Efficiency in Supply Chain Management: A Case Study to Optimize Supply Chain Characteristics. Journal of Decision Science and Optimization. 2025-05-09. https://doi.org/10.55578/jdso.2506.003