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Sensitivity Analysis of Parameters

In order to test the effect of changed parameters of the model on the total cost of the supply chain at each stage in plan period T, we analyze the sensitivity of the various parameters for suppliers, manufacturers and customers respectively. Taking the values of the parameters in experiment 1 (Fig. 4.5) as a benchmark, increase the parameters value of suppliers, manufacturers and customers respectively from the benchmark by 5, 10 and 15 % in turn (Minus sign implies decrease). As one parameter changes, all the other parameters value keep the same. The simulation results are shown in Tables 4.29, 4.30 and 4.31. [Pg.88]

From Table 4.29 we can draw the following conclusions Smm i) is weakly positive correlated to the total cost, indicating that the model is not sensitive to the change and are positive correlated to the total cost, indicating that the [Pg.88]

Stage Manufacturer 1-customer 1-product 1 Manufacturer 1-customer 1-product 2 Manufacturer 1-customer 1-product 3 Manufacturer 1-customer 1-product 1 Manufacturer 1-customer 1-product 2 Manufacturer 1-customer 1-product 3 [Pg.89]

Stage Supplicar 1-raw material 1 Supplier 1-raw material 2 Supplira 1-raw material 3 Supplier 1-raw mabaial 4 [Pg.90]

Stage Supplier 2-raw material 1 Supplier 2-raw material 2 Supplier 2-raw material 3 Supplier 2-raw material 4 [Pg.90]


Numerical Example Simulation and Sensitivity Analysis of Parameters... [Pg.80]

Numerical Example Simulation and Sensitivity Analysis of Parameters Table 5.3 Finished goods price distribution of the supply chain cell core enterprise... [Pg.123]

Ihekwaba, A.E., Broomhead, D.S., Grimley, R.L., Benson, N., Kell, D.B. Sensitivity analysis of parameters controlling oscillatory signalling in the NF-kB pathway the roles of IKK and IkBo. Syst. Biol. 1, 93-103 (2004)... [Pg.137]


See other pages where Sensitivity Analysis of Parameters is mentioned: [Pg.88]    [Pg.132]    [Pg.137]    [Pg.180]   


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