Saturday, February 12, 2022

Friday, February 11, 2022

Dr. B. Suresh Kumar - Research work basics

 




Research work basics

Dr. B. Suresh Kumar - MATLAB and Python coding for Mechanical Engineering

 



MATLAB and Python coding for Mechanical Engineering

Dr. B. Suresh Kumar - Machine shop practices

 



                                                            Machine shop practices

Dr. B. Suresh Kumar's - Material Science Lecture Videos





Material Science Lecture Videos

Dr. B. Suresh Kumar's - Yoga for Human Excellence Theory cum Practices




Yoga for Human Excellence - Yoga Practices 

Dr. B. Suresh Kumar's - Finite Element Analysis Lecture Videos

 



Finite Element Analysis Lecture Videos

Operations Research Lecture Videos


 OPERATIONS RESEARCH

COURSE OBJECTIVE

Provide knowledge of optimization techniques and approaches. Formulate a real-world problem as a mathematical programming model. Enable the students to apply mathematical, computational, and communication skills needed for the practical utility of Operations Research. Knowledge to solve networking problems. Knowledge to solve various inventory problems. Gain knowledge on solving different waiting line models.

Registration Link

Course: This course is designed to provide knowledge and training in using optimization techniques under limited resources for engineering and business problems. The course will consist of 5 units each consisting of 5 videos. Each lecture consists of specific concepts relevant to engineering problems in all domains. An attempt to made to cover the topic by use of PowerPoint presentations with case studies. The online class activities with quizzes and hands-on assignments for increasing the student's curiosity and desire to know more about the subject and various operation research concepts. Upon completion of this course, The students can able to use the optimization techniques for using engineering and Business problems
Course Content:
Week 1:
Linear Programming
Week 2: Transportation and Assignment Model
Week 3: Network Analysis
Week 4: Sequencing Problem and Assignment Model
Week 5: Queuing Theory

Assessment: Students have to register and write the CIA Exam conducted by me at any of the exam halls of KRCT.

LINEAR PROGRAMMING

1. Linear Programming Problem






2. Graphical method


3. Maximization with Simplex method



4. Minimization with Simplex method

5. The Two-phase method in artificial variable technique -

6. Big M method

TRANSPORTATION AND ASSIGNMENT MODEL

7. Transportation model with Northwest Corner Method


8. Transportation model with Least Cost Method -

9. Transportation model with Vogals Approximation Method



10. Unbalanced Transportation Model -



11. Assignment model





12. Hungarian Algorithm in Assignment Model -




13. Optimality Test in Transportation Model




14. Degeneracy in Transportation model -

NETWORK ANALYSIS
15. Basics of Network Analysis


16. PERT and CPM in Project Management -


17. Early start and Early finish & Late start and Late finish schedule

18. Least cost schedule -




19. Resource scheduling Problem -


20. Minimal spanning Tree


SEQUENCING PROBLEM

21. Johnson Algorithm for sequencing Problem 1


22. Johnson Algorithm 2



23. Johnson Algorithm 3

REPLACEMENT MODELS
24. Replacement Model 1


25. Replacement model 2


26. Replacement model 3


QUEUING THEORY
27. Queuing Theory Model 2


28.
Queuing Theory Model 3




29. Queuing Theory Model 4




Thursday, February 10, 2022

Intelligent Optimization Techniques

Intelligent Optimization

Techniques

Course objective: The course aims at building capabilities in the students for analyzing different situations in the industrial/ business scenario involving limited resources and finding the optimal solution within constraints by using advanced optimization tools

1. Genetic Algorithm


2. Tabu Search

3. Ant Colony Optimization



4. Particle Swarm Optimization


5. Simulated Annealing





6. Firefly Algorithm




7. Fuzzy Logic Modelling




8. Neural network modeling 




9. Matlab coding for Genetic Algorithm





Intelligent Optimization Course feedback












 





Design of Experiment and Intelligent Optimization Techniques

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