Course curriculum

    1. 1. 1 OR Introduction about Linear Programing problem formulation

    2. 1. 2 OR - Graphical method in Operations research

    3. 1. 3 Maximization Problem with Simplex method

    4. 1. 4 Minimization Problem with Simplex method

    5. 1. 5 The Two-phase method in Artificial Variable Technique

    6. 1. 6 Big M method

    7. 2.1 NWC

    8. 2.2 Least Cost Method in Transportation problem

    9. 2.3 Vogels Approximation Method

    10. 2.4 Unbalanced Transportation Model - NWC

    11. 2.5 Least Cost Method in Transportation problem

    12. 2.6 Assignment Model

    13. 2.7 Hungarian Algorithm in Assignment Model 1

    14. 2.8 Degenaracy in Transportation Model

    15. 3.6 Minimal Spanning Tree

    16. 3.1 Network Analysis

    17. 2.9 Optimality Test in Transportation Model

    18. 4.1 Johnson Algorithm for Sequencing Problem

    19. 4.3 sequencing problem n jobs through 5 machines

    20. 4.5 replacement model 2

    21. 4.2 Sequencing n jobs through 3 machines

    22. 5.2 QUEING THEORY MODEL 2

    23. 3.2 PERT and CPM in Project Management

    24. 5.3 Queuing Theory Model No 3

    25. 4.6 replacement model 3

    26. 5.4 Queuing theory model no 4

    27. 3.5 Resource Allocation Program

    28. 4.4 Replacement model - 1

    29. 3.3 Early start and Early finish & Late start and Late finish schedule

    30. 3.4 Least cost schedule

    1. Design of Experiment Concept for Data collection

    2. Data Normalization

    3. Dimensional Analysis 1

    4. Fuzzy Logic Modeling for Experimentation

    5. Linear Regression Model

    6. Multiple Linear Regression Model

    7. Simulated Annealing Algorithm

    8. Tabu Search Optimization

    9. ANOVA Table calculation

    10. Neural Network Modeling

    11. Data Science in Manufacturing Industries

    12. Matlab coading for Genetic Algorithm Zeroth iteration

    13. MATLAB basics, Mfile generation and running the program

    14. Ant Colony Optimization

    15. Particle Swarm Optimization 1

    16. Firefly Algorithm

    17. Buckingham pi theorem

    18. Genetic Algorithm

    19. The Whale Optimization

About this course

  • Free
  • 49 lessons
  • 14.5 hours of video content

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