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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Lecture Notes

UNIT 1:
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Overview of Machine Learning Techniques
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Overview of Machine Learning Techniques
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AI for Business
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AI for Business
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Basics of Big Data and logistics infrastructure
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Preview: Intro to A/B testing simulation
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AI for New Logistics Model
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Data Science for Customized Logistics
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Data Science to improve Logistics Operations
UNIT 2:
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Creating your Digital Roadmap
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Prioritization Guidelines
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Transformation Roadmap
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Developing an Effective Solution Architecture
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Smart S&OP, Smart Execution
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Segmentation
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Big Data Analytics for Reengineering Business Processes
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Supply Chain Digitization: Unified view of Demand
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Smart S&OP and Smart Execution_Case
UNIT 3:
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AI-Driven Logistics Transformation
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Lowering Barriers for AI Use
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AI in the Organization Structure
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Network Planning and Inventory Optimization
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Supplier Selection
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Transportation Mode Selection
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Supply Contracts and Risk Sharing Strategies
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Predictive Analytics
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AI Governance in Logistics
UNIT 4:
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ML in Supply Chains
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Recommender Systems
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Impact of Recommenders on Logistics
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Challenges with Personalization
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The Risk Exposure Index
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Supply Chain Flexibility
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Supply Chain Redundancy
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Latest Tools and Techniques
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Inventory Management Strategies
UNIT 5:
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Ethical Issues in AI
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Sustainable Supply Chain as a Source of Competitive Advantage
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Optimizing Efficiency
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Responsiveness and Carbon Emission trade-offs
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Short-Term and Long-Term Opportunities to Reduce Carbon Emission
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Trends in AI driven Logistics