Operations Research

Operations Research

Yong Wang via YouTube Direct link

Operations Research 09D: Job Shop Scheduling Problem

48 of 77

48 of 77

Operations Research 09D: Job Shop Scheduling Problem

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Operations Research

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  1. 1 Operations Research 01: Operations Research Course Overview
  2. 2 Operations Research 02: Introduction to Operations Research
  3. 3 Operations Research 03A: Linear Function & Linear Inequality
  4. 4 Operations Research 03B: Typical Linear Programming Problems
  5. 5 Operations Research 03C: Linear Programming Feasible Region
  6. 6 Operations Research 03D: Linear Programming Graphical Solution Technique
  7. 7 Operations Research 03E: Binding & Nonbinding Constraints
  8. 8 Operations Research 03F: Convex Set & Convex Function
  9. 9 Operations Research 03G: Linear Programming Extreme Points
  10. 10 Operations Research 03H: Linear Programming Staff Scheduling Problem
  11. 11 Operations Research 03I: Linear Programming Blending Problem
  12. 12 Operations Research 03J: Linear Programming Production Process Problem
  13. 13 Operations Research 03K: Linear Programming Multiperiod Inventory Problem
  14. 14 Operations Research 04A: Linear Programming Slack & Excess Variables
  15. 15 Operations Research 04B: Simplex Method Basic Feasible Solution
  16. 16 Operations Research 04C: Simplex Method Graphical Explanation
  17. 17 Operations Research 04D: Simplex Method Entering & Leaving Variables, Pivoting
  18. 18 Operations Research 04E: Simplex Method & The Big M
  19. 19 Operations Research 04F: Simplex Method Unrestricted-in-Sign Variables
  20. 20 Operations Research 04G: Goal Programming
  21. 21 Operations Research 04H: Different Cases of Simplex Solutions
  22. 22 Operations Research 05A: Sensitivity Analysis & Shadow Price
  23. 23 Operations Research 05B: Primal & Dual Problems
  24. 24 Operations Research 05C: Weak Duality & Strong Duality
  25. 25 Operations Research 05D: Complementary Slackness
  26. 26 Operations Research 05E: Dual Simplex Method
  27. 27 Operations Research 06A: Transportation Problem
  28. 28 Operations Research 06B: Transportation Northwest Corner Method
  29. 29 Operations Research 06C: Transportation Minimum Cost Method
  30. 30 Operations Research 06D: Transportation Vogel's Method
  31. 31 Operations Research 07A: Transportation Loop & Pivoting
  32. 32 Operations Research 07B: Transportation Simplex Method
  33. 33 Operations Research 07C: Transshipment Problem
  34. 34 Operations Research 07D: Assignment Problem & Hungarian Method
  35. 35 Operations Research 08A: Directed & Undirected Networks
  36. 36 Operations Research 08B: Shortest Path & Dijkstra’s Algorithm - Undirected Networks
  37. 37 Operations Research 08C: Shortest Path & Dijkstra’s Algorithm - Directed Networks
  38. 38 Operations Research 08D: Converting Shortest Path Problem to Transshipment Problem
  39. 39 Operations Research 08E: Minimum Spanning Tree
  40. 40 Operations Research 08F: Maximum Flow Problem Formulation
  41. 41 Operations Research 08G: Maximum Flow Problem & Ford Fulkerson Method
  42. 42 Operations Research 08H: Project Network
  43. 43 Operations Research 08I: Early/late Event Time, Total Float, Critical Path
  44. 44 Operations Research 08J: Program Evaluation & Review Technique PERT
  45. 45 Operations Research 09A: Integer Programming vs Linear Programming Relaxation
  46. 46 Operations Research 09B: Branch and Bound for Integer Programming
  47. 47 Operations Research 09C: Knapsack Problem
  48. 48 Operations Research 09D: Job Shop Scheduling Problem
  49. 49 Operations Research 09E: Traveling Salesman Problem - Integer Programming
  50. 50 Operations Research 09F: Traveling Salesman Problem - Hungarian Method
  51. 51 Operations Research 09G: Traveling Salesman Problem - Nearest Neighbor Method
  52. 52 Operations Research 10A: Derivatives of Basic, Trigonometric, Composite Functions
  53. 53 Operations Research 10B: Hessian Matrix, Convex & Concave Functions
  54. 54 Operations Research 10C: Nonlinear Convex Programming & KKT Conditions
  55. 55 Operations Research 11: Decision Trees & Decision Making under Uncertainty
  56. 56 Operations Research 12A: Zero-Sum Game & Pure Strategy
  57. 57 Operations Research 12B: Rock, Paper, Scissors Game & Mixed Strategy
  58. 58 Operations Research 12C: Nonconstant-Sum Game & Prisoner's Dilemma
  59. 59 Operations Research 12D: More about Nash Equilibrium
  60. 60 Operations Research 13A: Stochastic Process & Markov Chain
  61. 61 Operations Research 13B: Markov Chain n-Step Transition
  62. 62 Operations Research 13C: Ergodic Markov Chain
  63. 63 Operations Research 13D: Markov Chain Steady-State Theorem
  64. 64 Operations Research 13E: Markov Chain Mean First Passage Time
  65. 65 Operations Research 13F: Absorbing Markov Chain
  66. 66 Operations Research 14A: Economic Order Quantity (EOQ) Model with Zero Lead Time
  67. 67 Operations Research 14B: Economic Order Quantity (EOQ) Model with Nonzero Lead Time
  68. 68 Operations Research 14C: Economic Production Quantity (EPQ) Model
  69. 69 Operations Research 14D: Newsvendor Inventory Model
  70. 70 Operations Research 14E: Capacity-Controlled Fare (Early Bird Discount)
  71. 71 Operations Research 14F: Revenue Management & Airline Overbooking
  72. 72 Operations Research 15A: AMPL - Download & Installation
  73. 73 Operations Research 15B: AMPL - Quick Start Guide for Linear Programming
  74. 74 Operations Research 15C: AMPL - Model and Data Separation
  75. 75 Operations Research 15D: AMPL - Integer & Mixed Integer Programming
  76. 76 Operations Research 15E: AMPL - Nonlinear Programming
  77. 77 Operations Research 15F: AMPL - NEOS Server

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