University of Mumbai Syllabus For Semester 7 (BE Fourth Year) Operations Research: Knowing the Syllabus is very important for the students of Semester 7 (BE Fourth Year). Shaalaa has also provided a list of topics that every student needs to understand.
The University of Mumbai Semester 7 (BE Fourth Year) Operations Research syllabus for the academic year 2021-2022 is based on the Board's guidelines. Students should read the Semester 7 (BE Fourth Year) Operations Research Syllabus to learn about the subject's subjects and subtopics.
Students will discover the unit names, chapters under each unit, and subtopics under each chapter in the University of Mumbai Semester 7 (BE Fourth Year) Operations Research Syllabus pdf 2021-2022. They will also receive a complete practical syllabus for Semester 7 (BE Fourth Year) Operations Research in addition to this.
University of Mumbai Semester 7 (BE Fourth Year) Operations Research Revised Syllabus
University of Mumbai Semester 7 (BE Fourth Year) Operations Research and their Unit wise marks distribution
University of Mumbai Semester 7 (BE Fourth Year) Operations Research Course Structure 2021-2022 With Marking Scheme
| # | Unit/Topic | Marks |
|---|---|---|
| 100 | Linear Programming | |
| 200 | Transportation Models | |
| 300 | Network Models | |
| 400 | Integer and Dynamic Programming | |
| 500 | Deterministic Inventory Models | |
| 600 | Decision Analysis and Game Theory | |
| 700 | Queuing Systems | |
| Total | - |
Syllabus
- Introduction, Graphical Method of Solution, Simplex, Two-Phase Method, Duality, Dual Simplex, Revised Simplex, Sensitivity Analysis
- Examples of Transportation Models, The Transportation Algorithm, The Assignment Model, The Transshipment Model
- Scope and Definition of Network Models, Minimal Spanning Tree Algorithm, Shortest Route Problem, Maximal Flow Model, CPM and PERT, Minimum-Cost Capacitated Flow Problem
- Branch and Bound Method, Travelling Salesman Problem, Introduction to Dynamic Programming, Forward and Backward Recursion, Selected Applications
- Classic EOQ Model, EOQ with Price Breaks, Multi-item EOQ with Storage Limitation, Dynamic EOQ Models, No-Setup Model, Setup Model
- Decision Making under Certainty, Decision Making under Risk Decision Under Uncertainty, Game Theory
- Elements of a Queuing Model, Role of Exponential Distribution, Pure Birth and Death Models, Generalized Poisson Queuing Model, Measures of Performance
