警察勤務人力供給規劃之研究(3/3)

Keyphrases

1. Random Error 100%
2. Model Solution 100%
3. Controllable Errors 100%
4. Constraint Uncertainties 100%
5. Constraint Set 100%
6. Supply Planning 100%
7. Optimization Model 87%
8. Taiwan 63%
9. Real-world Practice 59%
10. Police Officers 50%
11. Facility Location Problem 50%
12. Charging Facilities 50%
13. Parameter Values 50%
14. Managerial Implications 50%
15. Regression Analysis 50%
16. Scheduling Model 50%
17. Engineering Problems 50%
18. Engineering Optimization Problems 50%
19. Input Error 50%
20. Project Scheduling 50%
21. Practical Engineering 50%
22. Mathematical Optimization Model 50%
23. Suitable Method 50%
24. Depot 50%
25. Public Bus Services 50%
26. Airport 50%
27. Baggage 50%
28. Bus Operators 50%
29. Carousel 50%
30. Mutual Support 42%
31. Decision Maker 37%
32. Support Model 37%
33. Outbound 37%
34. Police Station 33%
35. Assignment Model 33%
36. Deterministic Demand 31%
37. Fleet Size 25%
38. Land Acquisition 25%
39. Bus Depot 25%
40. Bus Allocation 25%
41. Electric Bus Fleet 25%
42. Electric Bus 25%
43. Depot Charging 25%
44. Deadhead 25%
45. Planners 25%
46. Bus System 25%
47. Mileage 25%
48. Holistically 25%
49. Diesel 25%
50. Computational Efficiency 25%
51. Operational Efficiency 25%
52. Decomposition-based Heuristic Algorithm 25%
53. Overlap Length 25%
54. Cost Components 25%
55. Proposed Methodology 25%
56. Electric 25%
57. Operating Cost 25%
58. Vehicle Type 25%
59. Mathematical Programming Method 21%
60. Supply Strategy 18%
61. Planning Model 18%
62. Stochastic Demand 18%
63. Support Strategies 16%
64. Planning Strategy 16%
65. Systems Perspective 16%
66. Numerical Test 16%
67. Taiwan Police 16%
68. Demand Model 13%
69. Supply Model 13%
70. Temporal Overlap 12%
71. Total Disturbance 12%
72. Temporal Disturbance 12%
73. Airport Operators 12%
74. Manual Approach 12%
75. Large-sized 12%
76. Computation Time 12%
77. Objective Value 12%
78. International Airport 12%
79. Strategy-as-practice 9%
80. Work Shift 9%
81. Fixed Demand 9%
82. CPLEX 9%
83. Police Department 9%
84. Daily Demand 9%
85. Human Resources 9%

Engineering

1. Decision Maker 100%
2. Error Tolerance 100%
3. Model Input 66%
4. Constraint Set 66%
5. Random Error 66%
6. Stochastic Model 50%
7. Operating Constraint 50%
8. Solution Method 50%
9. Bus System 50%
10. Quality Planning 50%
11. Model Problem 50%
12. Total Disturbance 50%
13. Computation Time 50%
14. Input Data 33%
15. Optimisation Problem 33%
16. Engineering Problem 33%
17. Engineering 33%
18. Test Result 33%
19. Computational Efficiency 25%
20. Operating Cost 25%
21. Real Data 25%