Multiproduct Queueing Networks With Deterministic Routing Decomposition Approa

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Multiproduct Queueing Networks With Deterministic Routing Decomposition Approa
Gabriel R Bitran
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934 . 928 . 925 . 888 . 867 . 856 . 568 . 44 . 376 . 51 . 36 . 2756 m = 10. P = . 1 . 5 . 333 . 25 . 9713 . 9697 . 9689 . 944 . 933 . 928 . 539 . 393 32 . 5074 . 354 . 2737 Table 4: Comparison of Approximations - Estimation of cd Station Utilization, p = 0. 6 scv of service = 0. 5 #of products scvof arrivals AGP1 AGP2 1NT1 Simulation m = 2, p = . 5 . 5 . 333 . 25 . 813 . 78 . 764 . 75 . 697 . 67 . 625 . 53 . 482 . 54 . 396 . 333 m = 3, p = . 333 . 5 . 333 . 25 . 894 . 878 . 87 . 834 . 798 . 78 .... 61 . 501 . 446 . 533 . 37 . 304 m = 5, P= 2 . 5 . 333 . 25 . 946 . 94 . 937 . 9 . 879 . 868 . 58 . 442 . 388 . 52 . 353 . 281 m = 10, p = . 1 . 5 . 333 . 977 . 976 . 975 . 95 . 939 . 934 . 545 . 399 . 326 . 512 . 36 . 275 Table 5; Parameters for the 6 Station. 5 Product Example Case 1 Case 2 # of products 5 5 # of stations 6 6 scv of arrivals 0. 5 0. 333 scv of service 0. 5 0. 333 utilization -station 1 0. 6 0. 6 utilization - stations 2-6 0. 8 0. 8 Table 6; Results for the 6 Station. 5 Product Example Mean Number of Jobs at Stations 2-6.

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