Connected successfully Syllabus || SNS Courseware
Subject Details
Dept     : MBA
Sem      : 3
Regul    : R2023
Faculty : Dr. Maharajan K
phone  : 8667233610
E-mail  : maharajan.k.mba@snsct.org
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Syllabus

UNIT
1
AI FOR LOGISTICS

Overview of Machine Learning Techniques, AI for Business, Basics of Big Data and logistics infrastructure, Preview: Intro to A/B testing simulation, AI for New Logistics Model, Data Science for Customized Logistics, Data Science to improve Logistics Operations.

UNIT
2
DIGITIZATION OF LOGISTICS AND SCM

Big Data Analytics for Reengineering Business Processes, Supply Chain Digitization: Unified view of Demand, Segmentation, Smart S&OP, Smart Execution, Creating your Digital Roadmap, Prioritization Guidelines, Transformation Roadmap, Developing an Effective Solution Architecture.

UNIT
3
AI STRATEGY IN LOGISTICS PLANNING

AI-Driven Logistics Transformation, Lowering Barriers for AI Use, AI in the Organization Structure, Network Planning and Inventory Optimization, Supplier Selection, Transportation Mode Selection, Supply Contracts and Risk Sharing Strategies, Predictive Analytics, Risks with AI, AI Governance in Logistics.

UNIT
4
AI AND SUPPLY CHAIN RESILIENCY

ML in Supply Chains, Recommender Systems, Impact of Recommenders on Logistics, Challenges with Personalization, The Risk Exposure Index, Supply Chain Flexibility, Supply Chain Redundancy, Latest Tools and Techniques, Inventory Management Strategies.

UNIT
5
ETHICAL ISSUES AND SUSTAINABILITY

Ethical Issues in AI, Sustainable Supply Chain as a Source of Competitive Advantage, Optimizing Efficiency, Responsiveness and Carbon Emission trade-offs, Short-Term and Long-Term Opportunities to Reduce Carbon Emission, Trends in AI driven Logistics.

Reference Book:

Dinesh K. Sharma, Madhu Jain (2022). Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management. Springer. Kartik Hosanagar, (2019. A Human’s Guide to Machine Intelligence, Viking. Robert N. Boute & Maxi Udenio (2022). AI in Logistics and Supply Chain Management. SSRN. Keemin Sohn (2021). AI-Based Transportation Planning and Operation, MDPI. Kumaresan Perumal, Chiranji Lal Chowdhary, Logan Chella (2022). Innovative Supply Chain Management via Digitalization and Artificial Intelligence, Springer.

Text Book:

Kumaresan Perumal, Chiranji Lal Chowdhary, Logan Chella (2022). Innovative Supply Chain Management via Digitalization and Artificial Intelligence. Springer. Hebooks, (2024). AI-Powered Logistics: How Artificial Intelligence Will Revolutionize Transportation, shipping and logistics. MDPI.