AKTU Supply Chain Analytics (BMLS306) Syllabus PDF – MBA (Logistics & Supply Chain Management) 3rd Semester
Supply Chain Analytics BMLS306
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Syllabus — Supply Chain Analytics
Download PDFBMLS306 · 3 credits · L-T-P 2-0-2
Course Objectives
- Understand the importance of data and analytics in modern supply chain management (SCM).
- Apply and identify and key tools and techniques used in supply chain analytics across different decision-making domains
- Analyze and construct analytical models for optimisation and simulation in supply chain systems
- Describe forecasting techniques and predictive models relevant to SCM
- Evaluate and implement prescriptive analytics and network design methods to optimise supply chain performance
Unit 1: Importance of Analytics in SCM (8 Hours)
Context of today’s Supply Chains (SC) analytics, Understanding the Supply Chain Analytics (SCA), Revisions of Basic of Supply Chain Management, Important of Analytics in Supply Chain, Relating Operations Management with Supply Chain Concepts with SC Analytics, The Importance of Supply Chain Analytics in the Flows Involving Material, Money, Information and Ownership. Case Studies and Latest Updates
Unit 2: Framework of Supply Chain Analytics (9 Hours)
Supply Chain Analytics Tools, Key Issues in Supply Chain Analytics, What Involves in Supply Chain Analytics, Concept of Descriptive Analytics in a Supply Chain, Bullwhip Effect in SCM, Decision Domains in Supply Chain Analytics, Overview of SAP Supply Chain Analytics modules and its Functionalities. Uses of Spreadsheet / Tableau in Supply chain Analytic (Lab Work).
Unit 3: Modelling and Simulations for Supply Chain Analytics (9 Hours)
Introduction to Modelling, Approaches for Optimization and Simulation, Modelling Software, Supply Chain Decisions that Requires Mathematical or Interpretative Modelling. Understanding of Data and its Role in Analytics of a Transportation Problem in a Supply Chain. Managerial Implications of the Results of Analytics. Spreadsheet Modelling for Supply Chain (Lab Work)
UNIT 4: Predictive Modelling in Supply Chain (8 Hours)
Forecasting for Supply Chain Planning and Management, Review of Multiple Regression and Stepwise Selection of Predictive Variables, Identification of Variables in a Forecasting Model, Exponential Smoothing Forecasting Models, Introduction to ARIMA Modelling, Data Driven Inventory Optimization. Uses of Spreadsheet for Statistical Analysis (Lab Work)
Unit 5: Foundation of Prescriptive Analytics in SCM (6 Hours)
Network Planning in a Supply Chain, Importance of Network Planning, Design of Logistics Network using Heuristics/optimization, Concept of 3PL/4PL in a Supply Chain. Performance Optimisation in SCM, Information Technology in SCM. Case Study with Latest Updates
Course Outcomes
| CO Code | Course Outcome Statement | Bloom’s K-Level |
|---|---|---|
| CO1 | Explain the importance of analytics in supply chain decisions and the role of information, material, and financial flows. | Understanding (K2) |
| CO2 | Apply descriptive analytics tools and interpret simulation and optimisation models for supply chain problems. | Applying (K3), Analysing (K4) |
| CO3 | Develop predictive models for forecasting and inventory planning using statistical techniques. | Understanding (K2), Applying (K3), Analysing (K4) |
| CO4 | Analyse the role of prescriptive analytics in supply chain network planning, logistics optimisation, and 3PL/4PL selection. | Understanding (K2), Applying (K3), Analysing (K4) |
| CO5 | Use spreadsheet tools and software (e.g., Tableau, Excel) for modelling, simulation, and data-driven decision making. | Applying (K3), Analysing (K4) |
Suggested Readings
- Sunil Chopra and Peter Meindle, Supply chain management (Pearson)
- Jeremy F. Shapiro. Modeling the Supply Chain. Duxbury Thomson Learning
- D. Simchi-Levi, P. Kaminsky, E. Simchi-Levi, and Ravi Shankar, Designing and Managing the Supply Chain concepts, Strategies and Case studies, Third Edition, Tata McGraw Hill, New Delhi, 2008.
- Rahul Saxena & Anand Srinivasan, Business Analytics
- Lora M. Cecere, Supply Chain Metrics that Matter(Wiley)
- by Kusum Deep & Madhu Jain & Said Salh im Logistics, Supply Chain and Financial Predictive Analytics(Springer)
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