Case 4 Logistic challenges
Single-Server
| Single-Server Model | ||||
| Arrival Rate (λ) | 25 | |||
| Service Rate (μ) | 30 | |||
| Probability of zero customers in the system (P0) | 0.1666666667 | |||
| Probability of exactly | 10 | customers in the system | 0.0269175971 | |
| Probability of <= | 10 | customers in the system | 0.8654120143 | |
| Probability of > | 10 | customers in the system | 0.1345879857 | |
| Average utilization of the server (ρ) | 0.8333333333 | |||
| Average number of customers in the system (L) | 5 | |||
| Average number of customers in the line (Lq) | 4.1666666667 | |||
| Average time in the system (W) | 0.2 | |||
| Average waiting time in the line (Wq) | 0.1666666667 | |||
| Average time being served | 0.0333333333 |
The data showing when you open this spreadsheet is from the Phlebotomist example in the PowerPoint: λ = 25 Pts per hour = 30 Pts per hour
Multi-Server
| Multi-Server Model | (with S <= 4) | |||||||||
| Number of Servers (S) | 2 | |||||||||
| Arrival Rate (λ) | 50 | |||||||||
| Service Rate (μ) | 30 | |||||||||
| Probability of zero customers in the system (P0) | 0.091 | PROBABILITY TABLE | ||||||||
| Probability of exactly | 10 | customers in the system | 0.029 | n | Pr(x=n) | Pr(x<=n) | Pr(x>n) | |||
| Probability of <= | 10 | customers in the system | See Table | 0 | 0.091 | 0.091 | 0.909 | |||
| Probability of > | 10 | customers in the system | See Table | 1 | 0.152 | 0.242 | 0.758 | |||
| Average utilization of the server (ρ) | 0.833 | 2 | 0.126 | 0.369 | 0.631 | |||||
| Average number of customers in the system (L) | 5.455 | 3 | 0.105 | 0.474 | 0.526 | |||||
| Average number of customers in the line (Lq) | 3.788 | 4 | 0.088 | 0.562 | 0.438 | |||||
| Average time in the system (W) | 0.109 | 5 | 0.073 | 0.635 | 0.365 | |||||
| Average waiting time in the line (Wq) | 0.076 | 6 | 0.061 | 0.696 | 0.304 | |||||
| Average time being served | 0.033 | 7 | 0.051 | 0.746 | 0.254 | |||||
| 8 | 0.042 | 0.789 | 0.211 | |||||||
| 9 | 0.035 | 0.824 | 0.176 | |||||||
| 10 | 0.029 | 0.853 | 0.147 | |||||||
| 11 | 0.024 | 0.878 | 0.122 | |||||||
| 12 | 0.020 | 0.898 | 0.102 | |||||||
| 13 | 0.017 | 0.915 | 0.085 | |||||||
| 14 | 0.014 | 0.929 | 0.071 | |||||||
| 15 | 0.012 | 0.941 | 0.059 | |||||||
| 16 | 0.010 | 0.951 | 0.049 | |||||||
| 17 | 0.008 | 0.959 | 0.041 | |||||||
| 18 | 0.007 | 0.966 | 0.034 | |||||||
| 19 | 0.006 | 0.972 | 0.028 | |||||||
| 20 | 0.005 | 0.976 | 0.024 | |||||||
| 21 | 0.004 | 0.980 | 0.020 | |||||||
| 22 | 0.003 | 0.984 | 0.016 | |||||||
| 23 | 0.003 | 0.986 | 0.014 | |||||||
| 24 | 0.002 | 0.989 | 0.011 | |||||||
| 25 | 0.002 | 0.990 | 0.010 |
The data showing when you open this spreadsheet is from the Phlebotomist example in the PowerPoint: 2 Phlebotomists (servers) λ = 50 Pts per hour = 30 Pts per hour