ITVEM Optimization Model
Technical Aspects of ITVEM
Systems Optimization
Associated with the ITVEM optimization model, it will be the optimization of the cost minimization, although the optimization can also be in terms of maximizing the performance. To do so, Figure V.5 can assist to be a chart reference, whereas it should also develop several assumptions regarding the optimization process, for example, the Cobb-Douglas production function (Lin and Kao, 2014) replaces each the desired output (the starred y*it, i = 1, 2, 3, 4 and t = 1, ..., 11) of subsystems. In this optimization testing, the data that will be used is Telkom’s data representing the others. Moreover, the Cobb-Douglass function is as follows: (V.5)
Whereas y*t = the desired output, Kt = the regular …show more content…
As for the revenue in terms of estimation interests, each subsystem receives an allocation of revenue as mentioned above that will be equivalent to the Telkom total revenue as in the second column of Table V.17. The capital estimation aims to seek the minimum cost for the realized revenue as seen in the second column of Table V.17, in this case in Telkom Indonesia. While the realized capital is as seen in the third column Table V.17. If the realized capital is compared with the estimated capital, it will be the difference as shown in the last column of Table V.10, which is 22.01 % in average as capital saving. In other words, that for such revenues in the second column of Table V.17, it is still possible to achieve only by the amount of capital as in the eighth column of Table V.17 for each year. Therefore, there will be significant capital savings, but by considering and controlling risk factors and anticipating business …show more content…
If the closed-loop poles lie to the left-half s plane, the system is stable. However, if the closed-loop poles lie on the jω (imaginary axis) of the s plane, the system is marginally stable. Thus, the poles of both transfer functions are s2 + C = 0 or s2 = -C. In other words, s= ±j√C so that the poles lie on the imaginary axis of the s plane, therefore the system is marginally stable.
Furthermore, the external system stability point of view means that the system will be stable depending upon those who operate it such as in the capital allocation within an investment decision making. This system stability relates to a concept of BIBO (bounded input and bounded output), which states that the system is stable if its bounded input produces the bounded output and not stable if its bounded input causes the unbounded output (Nori, 2015). This circumstance can be evidenced from the data estimation using the PAV as it has been presented in the discussion above. Comprehended that the estimation results never produce infinity outputs (yt), obviously with measured inputs (capital) as well. In other words, the ITVEM exhibits a stability in the operation of the
Systems Optimization
Associated with the ITVEM optimization model, it will be the optimization of the cost minimization, although the optimization can also be in terms of maximizing the performance. To do so, Figure V.5 can assist to be a chart reference, whereas it should also develop several assumptions regarding the optimization process, for example, the Cobb-Douglas production function (Lin and Kao, 2014) replaces each the desired output (the starred y*it, i = 1, 2, 3, 4 and t = 1, ..., 11) of subsystems. In this optimization testing, the data that will be used is Telkom’s data representing the others. Moreover, the Cobb-Douglass function is as follows: (V.5)
Whereas y*t = the desired output, Kt = the regular …show more content…
As for the revenue in terms of estimation interests, each subsystem receives an allocation of revenue as mentioned above that will be equivalent to the Telkom total revenue as in the second column of Table V.17. The capital estimation aims to seek the minimum cost for the realized revenue as seen in the second column of Table V.17, in this case in Telkom Indonesia. While the realized capital is as seen in the third column Table V.17. If the realized capital is compared with the estimated capital, it will be the difference as shown in the last column of Table V.10, which is 22.01 % in average as capital saving. In other words, that for such revenues in the second column of Table V.17, it is still possible to achieve only by the amount of capital as in the eighth column of Table V.17 for each year. Therefore, there will be significant capital savings, but by considering and controlling risk factors and anticipating business …show more content…
If the closed-loop poles lie to the left-half s plane, the system is stable. However, if the closed-loop poles lie on the jω (imaginary axis) of the s plane, the system is marginally stable. Thus, the poles of both transfer functions are s2 + C = 0 or s2 = -C. In other words, s= ±j√C so that the poles lie on the imaginary axis of the s plane, therefore the system is marginally stable.
Furthermore, the external system stability point of view means that the system will be stable depending upon those who operate it such as in the capital allocation within an investment decision making. This system stability relates to a concept of BIBO (bounded input and bounded output), which states that the system is stable if its bounded input produces the bounded output and not stable if its bounded input causes the unbounded output (Nori, 2015). This circumstance can be evidenced from the data estimation using the PAV as it has been presented in the discussion above. Comprehended that the estimation results never produce infinity outputs (yt), obviously with measured inputs (capital) as well. In other words, the ITVEM exhibits a stability in the operation of the