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A B C D E F G H
Mean Interarrival Time = 0.25 days
Mean Service Time = 0.2 days
Average Time in Line (Wq) = 0.72 days
Average Time in System (W) = 0.94 days
Time Time Time Time Time
Customer Interarrival of Service Service Service in in
Arrival Time Arrival Begins Time Ends Line System
10.70 0.70 0.70 0.13 0.83 0.00 0.13
20.12 0.82 0.83 0.09 0.93 0.01 0.11
30.03 0.84 0.93 0.05 0.97 0.08 0.13
40.23 1.08 1.08 0.13 1.21 0.00 0.13
50.07 1.14 1.21 0.06 1.26 0.06 0.12
98 0.26 24.09 24.63 0.14 24.78 0.54 0.69
99 1.05 25.14 25.14 0.82 25.96 0.00 0.82
100 0.05 25.19 25.96 0.05 26.01 0.77 0.82
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A B C D E F G H
Mean Interarrival Time = 0.5 days
Mean Service Time = 0.2 days
Average Time in Line (Wq) = 0.07 days
Average Time in System (W) = 0.28 days
Time Time Time Time Time
Customer Interarrival of Service Service Service in in
Arrival Time Arrival Begins Time Ends Line System
10.84 0.84 0.84 0.41 1.25 0.00 0.41
20.36 1.20 1.25 0.08 1.32 0.05 0.12
30.85 2.05 2.05 0.02 2.07 0.00 0.02
40.52 2.57 2.57 0.14 2.71 0.00 0.14
50.21 2.78 2.78 0.30 3.07 0.00 0.30
98 0.23 51.86 51.86 0.12 51.97 0.00 0.12
99 0.76 52.61 52.61 0.31 52.92 0.00 0.31
100 0.39 53.01 53.01 0.20 53.21 0.00 0.20
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A B C D E F G H
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 1 Point
Estimate Low High
Interarrival Times L = 0.6512035 0.616465588 0.685941467
Distribution = Exponential
Lq = 0.2558739 0.229868433 0.281879358
Mean = 0.5 W = 0.3289263 0.314496732 0.343355886
0.9
Wq = 0.1292432 0.117271635 0.141214851
Service Times
P0 = 0.6046704 0.593750466 0.61559027
Distribution = Exponential
P1 = 0.2414727 0.235575489 0.247369829
Mean = 0.2
P2 = 0.092874 0.088050078 0.097697993
4
P3 = 0.0370023 0.03325512 0.040749518
P4 = 0.0137064 0.011375648 0.016037177
Length of Simulation Run
P5 = 0.0058407 0.004206205 0.007475253
Number of Arrivals = 10,000
P6 = 0.0026897 0.00151472 0.00386477
P7 =0.0012385 0.000427242 0.002049696
P8 = 0.0004086 5.34782E-05 0.000763672
P9 = 9.669E-05 -2.05314E-05 0.000213906
P10 = 0 0 0
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 2 Point
Estimate Low High
Interarrival Times L = 0.9536665 0.915224212 0.992108704
Distribution = Exponential
Lq = 0.1488398 0.12864295 0.16903656
Mean = 0.25 W = 0.2382578 0.230627162 0.245888395
0.9
Wq = 0.0371851 0.032400866 0.041969432
Service Times
P0 = 0.4288469 0.416925848 0.440768021
Distribution = Exponential
P1 = 0.3374794 0.329623104 0.345335752
Mean = 0.2
P2 = 0.1405777 0.134585017 0.14657034
4
P3 = 0.0571327 0.052879164 0.061386253
P4 = 0.0227527 0.0195675 0.025937975
Length of Simulation Run
P5 = 0.0087232 0.006702754 0.010743624
Number of Arrivals = 10,000
P6 = 0.0028018 0.001657449 0.003946123
P7 =0.0013046 0.000252912 0.002356338
P8 = 0.0003647 2.98821E-05 0.000699427
P9 = 1.626E-05 -1.19183E-05 4.44348E-05
P10 = 0 0 0
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 2 Point
Estimate Low High
Interarrival Times L = 2.285788 2.159897988 2.411678029
Distribution = Exponential
Lq = 0.9725354 0.865389879 1.079680942
Mean = 0.166666667 W = 0.3816796 0.362993929 0.40036522
0.9
Wq = 0.1623934 0.145460556 0.179326257
Service Times
P0 = 0.2079342 0.198318894 0.217549454
Distribution = Exponential
P1 = 0.2708791 0.261765572 0.279992536
Mean = 0.22
P2 = 0.1770677 0.17137547 0.182759946
4
P3 = 0.1200589 0.114963795 0.125153977
P4 = 0.080715 0.076004425 0.085425668
Length of Simulation Run
P5 = 0.0516223 0.047503838 0.055740836
Number of Arrivals = 20,000
P6 = 0.0328291 0.029305955 0.036352202
P7 =0.0198724 0.016883839 0.022861011
P8 = 0.0136391 0.011115994 0.016162305
P9 = 0.0097792 0.007382485 0.01217596
P10 = 0.0056258 0.003894695 0.007356992
95% Confidence Interval
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A B C D E F G H
Minimum Interarrival Time = 10 minutes
Maximum Interarrival Time = 20 minutes
Mean Service Time = 10 minutes
Average Time in Line (Wq) = 5.20 minutes
Average Time in System (W) = 15.20 minutes
Time Time Time Time Time
Customer Interarrival of Service Service Service in in
Arrival Time Arrival Begins Time Ends Line System
1 17.21 17.21 17.21 0.02 17.24 0.00 0.02
2 19.10 36.31 36.31 37.12 73.44 0.00 37.12
3 11.34 47.66 73.44 16.18 89.62 25.78 41.96
4 15.83 63.48 89.62 4.91 94.52 26.14 31.04
5 13.05 76.53 94.52 35.84 130.36 18.00 53.84
98 17.18 1479.76 1498.54 3.96 1502.50 18.78 22.74
99 13.62 1493.38 1502.50 12.70 1515.20 9.12 21.82
100 11.91 1505.29 1515.20 16.07 1531.27 9.90 25.97
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A B C D E F G H
Interarrival Time (constant) = 15 minutes
Mean Service Time = 10 minutes
Average Time in Line (Wq) = 8.30 minutes
Average Time in System (W) = 19.27 minutes
Time Time Time Time Time
Customer Interarrival of Service Service Service in in
Arrival Time Arrival Begins Time Ends Line System
1 15.00 15.00 15.00 5.18 20.18 0.00 5.18
2 15.00 30.00 30.00 10.96 40.96 0.00 10.96
3 15.00 45.00 45.00 12.90 57.90 0.00 12.90
4 15.00 60.00 60.00 7.59 67.59 0.00 7.59
5 15.00 75.00 75.00 0.09 75.09 0.00 0.09
98 15.00 1470.00 1474.27 11.31 1485.57 4.27 15.57
99 15.00 1485.00 1485.57 49.27 1534.84 0.57 49.84
100 15.00 1500.00 1534.84 2.70 1537.54 34.84 37.54
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 1 Point
Estimate Low High
Interarrival Times L = 1.1349846 1.07761665 1.192352518
Distribution = Uniform
Lq = 0.4655035 0.418032717 0.512974294
Minimum Value = 10 W = 16.994744 16.14318643 17.84630211
Maximum Value = 20
Wq = 6.9702383 6.262667949 7.677808666
Service Times
P0 = 0.3305189 0.318142623 0.342895219
Distribution = Exponential
P1 = 0.3839156 0.374495424 0.39333582
Mean = 10
P2 = 0.17047 0.162390779 0.178549181
4
P3 = 0.0733465 0.065638719 0.081054207
P4 = 0.0266267 0.021782115 0.031471342
Length of Simulation Run
P5 = 0.0097453 0.006780085 0.012710519
Number of Arrivals = 10,000
P6 = 0.0032517 0.001639063 0.00486424
P7 =0.0018155 0.000300705 0.003330356
P8 = 0.0001657 -7.9482E-05 0.000410862
P9 = 0.0001291 -0.000123544 0.000381685
P10 = 1.504E-05 -1.43969E-05 4.44788E-05
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 1 Point
Estimate Low High
Interarrival Times L = 1.1499999 1.077021695 1.222978103
Distribution = Constant
Lq = 0.4759343 0.412220036 0.539648476
Value = 15 W = 17.249998 16.15532542 18.34467154
20
Wq = 7.1390138 6.183300535 8.094727138
Service Times
P0 = 0.3259344 0.313273181 0.338595534
Distribution = Exponential
P1 = 0.3923555 0.382447069 0.40226394
Mean = 10
P2 = 0.1682356 0.15988935 0.176581828
4
P3 = 0.0687433 0.061773185 0.075713379
P4 = 0.0259593 0.021015182 0.030903437
Length of Simulation Run
P5 = 0.0105414 0.007166374 0.013916484
Number of Arrivals = 10,000
P6 = 0.0041576 0.002068163 0.006246947
P7 =0.0014651 0.000253153 0.002677064
P8 = 0.0011707 -0.000441404 0.002782823
P9 = 0.0007828 -0.000295028 0.001860648
P10 = 0.0004109 -0.000183959 0.001005716
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 1 Point
Estimate Low High
Interarrival Times L = 0.7523964 0.737586632 0.767206246
Distribution = Uniform
Lq = 0.0894974 0.080458442 0.098536307
Minimum Value = 10 W = 11.27819 11.06674764 11.48963272
Maximum Value = 20
Wq = 1.341538 1.207319306 1.475756685
Service Times
P0 = 0.3371009 0.330012814 0.344189057
Distribution = Erlang
P1 = 0.5783665 0.572917702 0.583815216
Mean = 10
P2 = 0.0798137 0.073304681 0.086322675
k = 4
P3 = 0.0044731 0.002749115 0.006197059
P4 = 0.0002458 -0.000106484 0.000598166
Length of Simulation Run
P5 = 0 0 0
Number of Arrivals = 10,000
P6 = 0 0 0
P7 =0 0 0
P8 = 0 0 0
P9 = 0 0 0
P10 = 0 0 0
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 1 Point
Estimate Low High
Interarrival Times L = 0.7355879 0.723511276 0.747664452
Distribution = Constant
Lq = 0.0700007 0.063312942 0.076688544
Value = 15 W = 11.033818 10.85266914 11.21496679
20
Wq = 1.0500111 0.949694125 1.150328156
Service Times
P0 = 0.3344129 0.32781375 0.341012007
Distribution = Erlang
P1 = 0.5977876 0.592690976 0.602884193
Mean = 10
P2 = 0.0656102 0.060067722 0.071152659
k = 4
P3 = 0.0021775 0.00120583 0.003149142
P4 = 1.186E-05 -1.13751E-05 3.50949E-05
Length of Simulation Run
P5 = 0 0 0
Number of Arrivals = 10,000
P6 = 0 0 0
P7 =0 0 0
P8 = 0 0 0
P9 = 0 0 0
P10 = 0 0 0
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 1 Point
Estimate Low High
Interarrival Times L = 1.4298434 1.399053813 1.460633082
Distribution = Exponential
Lq = 0.7641559 0.736769156 0.791542715
Mean = 30 W = 42.960361 42.21503465 43.70568788
0.9
Wq = 22.959447 22.22818702 23.69070726
Service Times
P0 = 0.3343125 0.329881654 0.338743322
Distribution = Erlang
P1 = 0.297992 0.294962335 0.301021691
Mean = 20
P2 = 0.1758704 0.173665523 0.178075236
k = 8
P3 = 0.0923349 0.090223923 0.09444593
P4 = 0.0477293 0.045871841 0.049586824
Length of Simulation Run
P5 = 0.0247999 0.023313994 0.026285793
Number of Arrivals = 100,000
P6 = 0.0132325 0.012075847 0.014389143
P7 =0.0069485 0.006050843 0.007846251
P8 = 0.0035539 0.002896523 0.004211278
P9 = 0.0017305 0.00129357 0.002167378
P10 = 0.0008235 0.000528781 0.001118167
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 2 Point
Estimate Low High
Interarrival Times L = 2.1804068 2.138519054 2.222294506
Distribution = Exponential
Lq = 0.7809053 0.746059046 0.815751489
Mean = 14.3 W = 31.168802 30.70127079 31.63633281
0.9
Wq = 11.163 10.70842918 11.61757139
Service Times
P0 = 0.1698151 0.166419901 0.173210259
Distribution = Erlang
P1 = 0.2608683 0.257163198 0.264573456
Mean = 20
P2 = 0.2246691 0.221929137 0.227409075
k = 8
P3 = 0.148809 0.146529536 0.151088408
P4 = 0.0885835 0.086380539 0.090786538
Length of Simulation Run
P5 = 0.048547 0.046608386 0.05048561
Number of Arrivals = 100,000
P6 = 0.0261504 0.024600976 0.027699817
P7 =0.0143512 0.013082213 0.01562021
P8 = 0.0079593 0.006957978 0.008960706
P9 = 0.0042844 0.003486028 0.005082706
P10 = 0.0024433 0.00184579 0.003040786
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 1 Point
Estimate Low High
Interarrival Times L = 2.3056696 2.128818557 2.482520634
Distribution = Exponential
Lq = 1.5626302 1.393635616 1.731624718
Mean = 0.333333333 W = 0.7756648 0.721711828 0.829617727
0.9
Wq = 0.5256942 0.472536326 0.578852114
Service Times
P0 = 0.2569606 0.246016915 0.267904228
Distribution = Translated Exponential
P1 = 0.237907 0.229376715 0.246437242
Minimum Value = 0.083333333
P2 = 0.1664073 0.160785864 0.172028692
Mean = 0.25
P3 = 0.1116093 0.106795402 0.116423176
P4 = 0.0735965 0.068895529 0.07829742
Length of Simulation Run
P5 = 0.0488435 0.044496436 0.053190508
Number of Arrivals = 25,000
P6 = 0.0349843 0.031150805 0.038817711
P7 =0.0225476 0.019325189 0.025769993
P8 = 0.0148294 0.012189754 0.017469087
P9 = 0.0096031 0.007252467 0.011953737
P10 = 0.0061226 0.004291876 0.007953356
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 1 Point
Estimate Low High
Interarrival Times L = 0.8851196 0.852718633 0.917520587
Distribution = Exponential
Lq = 0.3802966 0.3540296 0.406563666
Mean = 0.5 W = 0.4415882 0.428651721 0.454524674
0.9
Wq = 0.1897309 0.177922488 0.201539232
Service Times
P0 = 0.495177 0.487380277 0.50297377
Distribution = Translated Exponential
P1 = 0.2870396 0.282884705 0.291194441
Minimum Value = 0.083333333
P2 = 0.1267457 0.123090766 0.130400574
Mean = 0.25
P3 = 0.0511678 0.048202493 0.054133189
P4 = 0.0219833 0.01981653 0.024150041
Length of Simulation Run
P5 = 0.0097481 0.008209524 0.011286587
Number of Arrivals = 25,000
P6 = 0.0047119 0.003582976 0.005840772
P7 =0.0019306 0.001261965 0.002599317
P8 = 0.0009251 0.000449664 0.001400616
P9 = 0.0004841 7.35502E-05 0.000894575
P10 = 8.683E-05 1.94469E-06 0.000171723
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 2 Point
Estimate Low High
Interarrival Times L = 3.000569 2.826159169 3.174978798
Distribution = Exponential
Lq = 1.4890786 1.331992055 1.646165218
Mean = 0.166666667 W = 0.4960429 0.470644268 0.521441444
0.9
Wq = 0.2461689 0.221840015 0.270497821
Service Times
P0 = 0.1372665 0.129521096 0.145011968
Distribution = Translated Exponential
P1 = 0.2139766 0.204579478 0.2233737
Minimum Value = 0.083333333
P2 = 0.1868461 0.17982929 0.193863004
Mean = 0.25
P3 = 0.1374737 0.132115862 0.142831538
P4 = 0.0998329 0.095078489 0.104587399
Length of Simulation Run
P5 = 0.0694165 0.064944761 0.073888249
Number of Arrivals = 25,000
P6 = 0.049716 0.044936032 0.054495917
P7 =0.033499 0.029533988 0.03746409
P8 = 0.0252801 0.021543873 0.029016331
P9 = 0.0156854 0.012771881 0.018598864
P10 = 0.0100399 0.007667177 0.012412556
95% Confidence Interval
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A B C D E F G H
Template for Queueing Simulation
Data Results
Number of Servers = 3 Point
Estimate Low High
Interarrival Times L = 3.605968 3.31592206 3.89601396
Distribution = Exponential
Lq = 1.3621111 1.096180257 1.628042015
Mean = 0.111111111 W = 0.401802 0.372076482 0.431527482
0.9
Wq = 0.1517759 0.123071254 0.180480499
Service Times
P0 = 0.0754635 0.069904873 0.081022211
Distribution = Translated Exponential
P1 = 0.1656685 0.157336034 0.174001023
Minimum Value = 0.083333333
P2 = 0.1984154 0.189865258 0.206965627
Mean = 0.25
P3 = 0.167074 0.160490928 0.173657028
P4 = 0.1190596 0.113987249 0.124132041
Length of Simulation Run
P5 = 0.0827517 0.077865526 0.087637887
Number of Arrivals = 25,000
P6 = 0.0584246 0.053807906 0.063041346
P7 =0.0401697 0.036016572 0.044322889
P8 = 0.0272697 0.023220236 0.031319116
P9 = 0.0181548 0.015028982 0.021280672
P10 = 0.0127512 0.010082145 0.015420161
95% Confidence Interval