Engineered Linear Algebra with AI to Optimize Supply Chain Coupling Linear Algebra and AI to Solve One of The Most Complex Real-Time Problems

There are many real-time situations which can be effectively solved by optimizing the basics of linear algebra by infusing it through latest AI models. This research paper is intended to bring into use the basic concepts of linear algebra along with the nuances of AI/ML to bring about optimization for solving supply chain scenario across industry. The challenge lies in Modeling disruptions (e.g., geopolitical events, pandemics) across global supply chains in real time. Linear Algebra’s Role lies in Matrix representations of supplier–buyer networks, eigenvalue analysis for systemic risk. The frontier lies in combining linear algebra with adaptive AI (reinforcement learning, quantum ML, and multi-agent systems).

Supply Chain, Linear Algebra, AI/ML, Models, Matrix, Vector, Artificial Intelligence, Analysis

1. Below are the reference sites which I traversed to help build my understanding: [Google Scholar] [Crossref]

2. Introduction to Linear Algebra [Math.MIT.edu] – By Gilbert Strang ILA, 6th Ed. (2023) [Google Scholar] [Crossref]

3. OpenAI website - OpenAI (https://openai.com) [Google Scholar] [Crossref]

4. GenAI OpenAI key - OpenAI API (https://blog/open-api) [Google Scholar] [Crossref]

5. Linear Algebra- Linear Algebra - GeeksforGeeks [Google Scholar] [Crossref]

6. Linear Algebra - Erwin Kreyszig, In collaboration with Herbert Kreyszig and Edward J. Norminton - Advanced Engineering Mathematics, 10th Edition -Wiley (2011) [Google Scholar] [Crossref]

• Students' Perception Towards Artificial Intelligence in Higher Education in India
• Strategic Leadership and Cybersecurity Readiness in Digitally Transforming Organisations
• Spatial Distribution of Tourism Infrastructure in Awka, Onitsha and Nnewi Urban Areas of Anambra State.
• Emerging Technologies, Education and Skill Development for A Sustainable Blue Economy in Nigeria.
• Quantum Dot–Based Solar Cells: Advancements, Challenges, and Future Prospects