AI-Powered Backup Supplier Selection in Supply Chains
Constructor University researchers have developed a logic-based artificial intelligence framework that enables transparent and resilient decision-making during supply chain disruptions.
To counter disruptions faced by manufacturers in their supply chains, researchers at Constructor University have designed a new decision support framework that optimizes backup supplier selection using logic-based artificial intelligence.
Supply Chain Disruptions
Disruptions in the supply chain can lead to immediate consequences for manufacturers, causing production delays, increased costs, and challenges in finding alternative suppliers.
AI-Based Framework
Dr. Omid Fatahi Valilai, a professor of industrial engineering at Constructor University, and doctoral researcher Omkar Vishwas Patil have developed a system that enables more resilient decision-making.
Answer Set Programming
Published in the journal Engineering Applications of Artificial Intelligence, the study demonstrates solutions that take into account operational continuity, cost, and social and environmental requirements.
Integration of Processes
The researchers integrated the system with robotic process automation and enterprise resource planning systems to create a closed-loop structure extending from decision to execution.
Evaluation of the Model
The researchers successfully tested the model using synthetic datasets containing networks of up to one thousand primary suppliers across twenty-seven simulated scenarios.