Programme: BBA
Course Title: Decision Science
Course Type: Core Course
Semester: I
Academic Level : 2020–20
Credits: 4
Lecture per Week: 4
Pre-requisites
No pre-requisites required
Course Summary
Various concepts of Operations Research
Identification and development of business solutions
Use of quantitative techniques helps students understand tools required to solve optimal problems in management
Course Outcomes (CO)
CO1: Develop an understanding of basic management science techniques and their role in managerial decision-making
CO2: Help students formulate business situations into quantitative models for optimal decision-making
CO3: Build capabilities in students for analyzing different business problems using management science and finding optimal solutions within constraints
CO4: Enable students to apply techniques such as linear programming in managerial decision-making
CO5: Apply techniques to business decision-making situations
CO6: Develop mathematical models for real-life business and management problems
Decision Science syllabus
Module I – Introduction to Operations Research
Meaning of Operations Research (OR)
Scope of Operations Research
Limitations of Operations Research
Methodology of Operations Research
OR Models
Applications of Operations Research
Importance of Ethics in Operations Research
Linear Programming:
Basic concepts
Applications in management decision-making
Mathematical formulation of Linear Programming Problems
Graphical solution of Linear Programming Models
Module II – Transportation and Assignment Problems
Transportation Problem:
Initial Basic Feasible Solution
North West Corner Rule
Vogel’s Approximation Method (VAM)
Test for Optimality:
Modified Distribution (MODI) Method
Assignment Problem:
Introduction
Solution methods
Hungarian Method
Maximization in Assignment Problems
Unbalanced Assignment Problems
Travelling Salesman Problem
- Teacher: Divya p FACULTY