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Level 7 Diploma in Logistics and Supply Chain Management

Big Data Analytics in Supply Networks

LSC702 · Supply Chain Planning, Modelling and Analytics — Week 11 of 16

CourseLSC702
Week11 of 16
SemesterI
TutorOnline in the course chat

This week’s topics

Big Data Analytics in Supply Networks

  1. Descriptive, predictive, and prescriptive analytics
  2. IoT telematics and real-time visibility
  3. AI-driven demand sensing
  4. Data governance and algorithmic ethics
  5. From Data to Decisions: Advanced Analytics & AI in Supply Planning
  6. Week 07: Lecture 31: Role of AI/ML in Forecasting & Demand Analytics

What you will be able to do

  • 3.2 Explain the use and relevance of big data analytical techniques in each of the key areas of supply chain management.

Activity

Start with this week’s 2 videos, then: Seminar, guided reading and a short written task: explain the use and relevance of big data analytical techniques in each of the key areas of supply chain management.

Study materials

Videos

  • From Data to Decisions: Advanced Analytics & AI in Supply Planning · YouTube · MIT Center for Transportation & Logistics · 45 min · for registered students
  • Big Data Challenges and Opportunities · YouTube · MIT Center for Transportation & Logistics · 63 min · for registered students
  • Enterprise Analytics: Achieving Supply Chain Visibility at Scale · YouTube · MIT Center for Transportation & Logistics · 50 min · for registered students

Further resources

  • Foundations of Information Systems, ch. 8: Data Analytics and Modeling · PDF · OpenStax, textbook chapter; pp. 297–338 · for registered students
  • What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets · PDF · Reading, article · for registered students
  • Using Big Data to Estimate Consumer Surplus: The Case of Uber · PDF · NBER, article · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
Course chat

Admitted students ask questions on this week’s page in the student portal: an AI assistant trained on the course answers first, and during the course’s timetabled classes Connect to your tutor brings your tutor into the chat, who may start a call if needed.

Open this week in the portal
Course plan
  • Week 1: Foundations of Supply Chain Operations Modelling
  • Week 2: Demand Forecasting and Predictive Modelling
  • Week 3: Strategic Supply Network Evaluation
  • Week 4: Facility Location Planning Models
  • Week 5: Inventory Control and Multi-Echelon Management
  • Week 6: Aggregate and Hierarchical Planning Frameworks
  • Week 7: Material Requirements Planning and Capacity Control
  • Midterm: Midterm evaluation
  • Week 9: Enterprise Resource Planning (ERP) Integration
  • Week 10: Supply Chain Simulation Methodologies
  • Week 11: Big Data Analytics in Supply Networks
  • Week 12: Applying Supply Chain Planning, Modelling and Analytics in …
  • Week 13: Assignment workshop: research, planning and referencing
  • Week 14: Assignment workshop: drafting, feedback and improvement
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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