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Operations Research

By Prof. Bibhas C. Giri   |  
Learners enrolled: 331
Operations Research is a systematic approach of solving problems involving operations of a system by using scientific tools and techniques. It is a well-developed field with a sophisticated array of techniques that are routinely used to solve various real world problems. OR helps to make decisions better. It is regularly used in several areas such as inventory and supply chain management, marketing   management, healthcare, telecommunication, finance, transportation, energy and so on. Active areas may also be at the intersection of these and many other disciplines. There are many advantages of studying O.R.,  such as improving decision making, better control, higher productivity, better coordination, etc. In business, very few things are certain, and managers must often make decision based on their instincts instead of being able to use reliable data. O.R. techniques fill this void with methods that quantify issues and give business managers a better basis for making decisions.
Summary
Course Status : Upcoming
Course Type : Core
Language for course content : English
Duration : 15 weeks
Category :
  • Mathematics
Credit Points : 4
Level : Postgraduate
Start Date : 14 Jul 2025
End Date : 31 Oct 2025
Enrollment Ends : 31 Aug 2025
Exam Date :
NCrF Level   : 6.5
Industry Details : Manufacturing, Supply chain analytics, Logistics, Finance, Telecommunications Government

Page Visits



Course layout

Week 1:  Chapter 1 – Linear  Programming  Problem
Module-1: Mathematical Formulation of LPP and Graphical Method for Solving LPP 
Module-2:  Simplex Method for Solving LPP and Big-M Method

Week 2: 
Chapter 1 – Linear  Programming  Problem
Module-3:
 
Some Special Cases in LPP
Module-4:
 Duality, and Solving LPP using Duality in Simplex Method
Module-5:
 Dual Simplex Method and Revised Simplex Method

Week 3: 
Chapter 2 – Transportation  and  Assignment  Problems
Module-1:
 
Mathematical Formulation and Initial BFS of Transportation Problem
Module-2:
 Optimality Test by Stepping Stone Method and MODI Method, and Some Special Cases of Transportation Problem
Module-3:
 Assignment Problem and Its Solution by Hungarian Method, and Travelling Salesman Problem

Week 4:  
Chapter 3 – Game  Theory
Module-1: 
 
Basic Concept and Terminologies, Two-person Zero-sum Game, and Game with Pure and Mixed Strategies
Module-2:
 Dominance Principle, Arithmetic Method, and Graphical Method for Solving  (2× n) Game
Module-3:
 Graphical Method for Solving (m×2) Game and Solution of  Game by Simplex Method

Week 5:  
Chapter 4 – Job Sequencing  and  Replacement  Theory
Module-1:
  Basic Terminologies and Assumptions of Job Sequencing, and Processing of n Jobs through 2 and 3 Machines
Module-2
:  Processing n Jobs through m Machines, and Processing 2 Jobs through m Machines - Graphical Method
Module-3:
  Introduction to Replacement Theory and Determination of Optimal Replacement Time
Module-4:
  Selection of the Best Machine, and Individual and Group Replacement Policies

Week 6:  Chapter 5 – Inventory  Theory
Module-1: Economic Order Quantity and EOQ Models without Shortage
Module-2:
 EOQ models with Shortage and EPQ Models with/without Shortages

Week 7:  
Chapter 5 – Inventory  Theory
Module-3:
 
Multi-item Inventory Models, Purchase Inventory Model, and Inventory Models with Price Breaks
Module-4:
 Newsboy Problem and Probabilistic Inventory Model with Instantaneous Demand and No Set up Cost
Module-5:
 Probabilistic Inventory Model with Uniform Demand and No Set up Cost, and Buffer Stock in Probabilistic Inventory Model

Week 8:  
Revision, Assignment and Evaluation

Week 9:  
Chapter 6 – Queuing  Theory 
Module-1:
  Basic Characteristics of Queuing System and Probability Distribution of Arrivals 
Module-2
:  Probability Distribution of Departures and Model I (M|M|1):(∞|FCFS) 
Module-3:  Model I. (General): (M|M|1): (∞|FCFS), and Model II. (M|M|1): (N|FCFS) 
Module-4:  Model III - (M|M|s): (∞|FCFS), and Model IV - (M|Ek|1): ( ∞|FCFS)

Week 10:  Chapter 7 – Network  Analysis 
Module-1:
 
Basic Components of Network and Critical Path Method (CPM) 
Module-2:
 Total Float and Free Float of Activity, and CPM Model: Time-cost Optimization

Week 11:  
Chapter 7 – Network  Analysis 
Module-3:
 
Program Evaluation and Review Technique (PERT) 
Module-4:
 LP and Dual LP Solutions to Network Problem

Week 12:  
Chapter 8 – Dynamic  Programming 
Module-1:
 
Basic Concept and Terminology, and Dynamic Programming Models I and II 
Module-2
: DP Model III, Solution of Discrete DP Problem and Solution of LPP by DP

Week 13:  
Chapter 9 – Integer Programming 
Module-1:
 
Introduction to Integer Programming, and Gomory's Cutting Plane Method for All IPP 
Module-2
: Gomory's Cutting Plane Method for Mixed IPP, and Branch and Bound Method

Week 14:  
Chapter 10 – Nonlinear  Programming 
Module-1:
 
NLPP with Equality Constraints: Lagrange Multiplier Method 
Module-2
: NLPP with Inequality Constraints: Kuhn-Tucker (KT) Conditions, and Quadratic Programming 
Module-3: Wolfe's Modified Simplex Method and Beale's Method

Week 15:  Revision, Assignment and Evaluation

Books and references

Taha, H.A., Operations Research – An Introduction, Prentice Hall, (7th Edition), 2002.
Hillier, F.S., Lieberman, G.J., Nag, B., Basu,P., Introduction to Operations Research, McGraw Hill (10th Edition), 2017.
Sharma, S.D., Operations Research, Kedar Nath Ram Nath & Co. (15th Edition), 2010.
Ravindran, A., Phillips, D. T and Solberg, J. J., Operations Research: Principles and Practice, John Willey and Sons, 2nd Edition, 2009.

Instructor bio

Prof. Bibhas C. Giri

Dr.Bibhas C. Giri is a Professor in the Department of Mathematics at Jadavpur University, where he also completed his M.Sc. in Mathematics and Ph.D. in Operations Research. He has been teaching Operations Research at the postgraduate level since 2005.His research interests include Sustainable and Green Supply Chain Management, the impact of emerging technologies such as Blockchain and Artificial Intelligence/Machine Learning on supply chain performance, Inventory Theory, Production Planning and Control, Multi-Criteria Decision Making, and Soft Computing with a focus on Fuzzy Systems.Dr.Giri has authored over 250 research articles in international peer-reviewed journals and contributed 10 chapters to edited volumes. His work has been cited more than 14,000 times (Google Scholar), and he has so far supervised 25 Ph.D. scholars.He has received several prestigious international fellowships, including the Alexander von Humboldt Fellowship (Germany), Fulbright Fellowship (USA), and Commonwealth Fellowship (UK). He currently serves as Vice-President of the Operational Research Society of India.


Course certificate

  • Internal Assessment - Weekly assessments released in the course shall be considered for Internal Marks and will carry 30 percent for the Overall Result. Out of all weekly assignments, the best/top five scores will be considered for the final Internal Assessment marks.
  • End-term Assessment - The final exam shall be conducted by NTA, and will carry 70 percent for the overall Result.

All students who obtain 40% marks in the internal assessment and 40% marks in the end-term proctored exam separately will be eligible for the SWAYAM Credit Certificate.

The online registration form has to be filled and the final exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then. 



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