BMBA206

Quantitative Techniques for Managers

L-T-P3-1-0 Credits3 Session2024-25 TypeTheory
Appears in 1 semester

MBA Business Analytics · Sem 2 (Core)

Syllabus

5 units
Unit1

Unit 1: (6 Sessions)-Operations Research & Decision-Making Environments

Operations Research: - Uses, Scope and Applications of Operation Research in managerial decision-making. Decision-making environments: - Decision-making under certainty, uncertainty and risk situations; Decision tree approach and its applications.

Unit2

Unit 2: (6 Sessions)-Linear Programming Problem & Transportation Problem

Linear programming: Mathematical formulations of LP Models for product-mix problems; graphical and simplex method of solving LP problems.

Unit3

Unit 3: (10 Sessions)- Transportation Problem & Assignment model

Transportation problem: Various methods of finding Initial basic feasible solution-North West Corner Method, Least Cost Method & VAM Method and optimal solution-Stepping Stone & MODI Method, Maximization Transportation Problem Assignment model: Hungarian Algorithm and its applications, Maximization Assignment Problem.

Unit4

Unit 4: (10 Sessions)-Sequencing & Queuing Theory

Sequencing Problem: Johnsons Algorithm for n Jobs and Two machines, n Jobs and Three Machines, Two jobs and m - Machines Problems. Queuing Theory: Characteristics of M/M/I Queue model; Application of Poisson and Exponential distribution in estimating arrival rate and service rate; Applications of Queue model for better service to the customers.

Unit5

Unit 5: (8 Sessions) Project Management

Project Management: Rules for drawing the network diagram, Applications of CPM and PERT techniques in Project planning and control; GANTT Chart

Course Objectives5 points
  • Understand the importance of the use of OR application in decision Making environment
  • To formulate LPP and Obtain Graphical Solutions & Acquire General idea of the Simplex method.
  • To understand and solve transportation & assignment models.
  • To know optimal sequence model and understand concepts of queuing theory.
  • To identify right time for replacement of equipment and understand project management techniques
Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Be able to understand the characteristics of different types of decision-making environments and the appropriate decision-making approaches and tools to be used in each type.K2, K1 (Knowledge, Remembering)
  2. CO2To formulate linear programming problem and to find optimal solution by graphical simplex method.K2 (Knowledge)
  3. CO3Be able to build and solve Transportation Models and Assignment Models also to solve game theory problems by understanding pure and mix strategies.K4 (Applying)
  4. CO4To assign optimal sequence of difference jobs on different machines and develop understanding of queuing theory concepts.K4 (Applying)
  5. CO5To implement replacement of equipment at right time and able to implement project management concepts like CPM, PERT to reduce cost and time.K6, K7 (Synthesizing, Evaluating)

Suggested Readings

  1. R. Panneerselvam - Operations Research (PHI, 2nd Edition)
  2. Sharma J K - Operations Research (Pearson, 3rd Edition
  3. Apte-Operation Research and Quantitative Techniques (Excel Books)
  4. S Kalawathy-Operation Research (Vikas IVth Edition)
  5. Natarajan- Operation Research (Pearson)
  6. Singh & Kumar—Operation Research (UDH Publisher edition 2013)
  7. Taha Hamdy - Operations Research - An Introduction (Prentice-Hall, 9th edition)
  8. Vohra - Quantitative Techniques in Management (Tata McGraw-Hill, 2nd)
  9. Kothari - Quantitative Techniques (Vikas 1996, 3rd Edition).

Official AKTU syllabus

This subject is on page 33, 34 of the original AKTU PDF.

Official AKTU syllabus PDF ↗