Paper Title

DEVELOPMENT OF PREDICTIVE MODELS FOR IDENTIFYING SUPPLY CHAIN BOTTLENECKS USING ADVANCED SIMULATION AND OPTIMIZATION TECHNIQUES

Authors

Profile picture of Laura Reyes-Reyes
Laura Reyes-Reyes

Keywords

  • supply chain
  • bottleneck prediction
  • simulation
  • optimization
  • predictive modeling
  • logistics
  • operations research.

Journal

International Journal of Supply Chain Management External link

Publication Info

Volume: 2 | Issue: 1 | Pages: 1-6

Published On

January, 2025

Downloads

PDF icon FULL PDF
CITATION
COPY LINK

Abstract

Predictive models for identifying supply chain bottlenecks have become increasingly essential due to the growing complexity of global trade networks. This study develops and evaluates models that integrate advanced simulation and optimization techniques to predict and mitigate supply chain disruptions. The research leverages historical data, simulation tools, and optimization algorithms to create adaptable frameworks. The results demonstrate improved efficiency and minimized delays in supply chain operations.

View more »

Uploaded Document Preview