UNIQUE SERIES AKTU Syllabus
BMLS306

Supply Chain Analytics

L-T-P2-0-2 Credits3 Session2025-26 TypeTheory
Appears in 1 semester

MBA Logistics & Supply Chain Management · Sem 3 (Core)

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Syllabus

5 units · 40 lecture hours
Unit1

Unit 1: Importance of Analytics in SCM

8 hrs

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

Unit2

Unit 2: Framework of Supply Chain Analytics

9 hrs

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).

Unit3

Unit 3: Modelling and Simulations for Supply Chain Analytics

9 hrs

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)

Unit4

Unit 4: Predictive Modelling in Supply Chain

8 hrs

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)

Unit5

Unit 5: Foundation of Prescriptive Analytics in SCM

6 hrs

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 Objectives6 points
  • This course aims to:
  • 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
Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Explain the importance of analytics in supply chain decisions and the role of information, material, and financial flows.K2 (Understanding)
  2. CO2Apply descriptive analytics tools and interpret simulation and optimisation models for supply chain problems. (K3),K4 (Applying, Analysing)
  3. CO3Develop predictive models for forecasting and inventory planning using statistical techniques. (K2), (K3),K4 (Understanding, Applying, Analysing)
  4. CO4Analyse the role of prescriptive analytics in supply chain network planning, logistics optimisation, and 3PL/4PL selection. (K2), (K3),K4 (Understanding, Applying, Analysing)
  5. CO5Use spreadsheet tools and software (e.g., Tableau, Excel) for modelling, simulation, and data-driven decision making. (K3),K4 (Applying, Analysing)

Suggested Readings

  1. Sunil Chopra and Peter Meindle, Supply chain management (Pearson)
  2. Jeremy F. Shapiro. Modeling the Supply Chain. Duxbury Thomson Learning
  3. 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.
  4. Rahul Saxena & Anand Srinivasan, Business Analytics
  5. Lora M. Cecere, Supply Chain Metrics that Matter(Wiley)
  6. by Kusum Deep & Madhu Jain & Said Salh im Logistics, Supply Chain and Financial Predictive Analytics(Springer)

Official AKTU syllabus

This subject is on page 15, 16 of the original AKTU PDF.

Official AKTU syllabus PDF ↗