*3.4.4 Optimization block for annual application*

This software tool is destined for automatic work with delivery list SP for forming SP optimal program for any fixed time period of exploitation (including annual application) providing given level of technical readiness of FMP park at conditions of minimal purchasing price.

Structure of initial parameters includes:


Among the cost parameters there are specified the following ones: annual budget, price of one CP, price of one CP repair. For each characteristic, annual escalation price coefficient is fixed.

Replenishment and repair programs are optimal if SP superplus on store are minimal. It is equivalent to cost supply minimum.

The received in computer experiments optimal programs are calculated for grant support of fixed level of readiness during exploitation time period at conditions of minimal sufficient budget which is determined in optimization process. In the case of the optimization delivery program at conditions of wittingly restricted budget the developed programs provide readiness level. This level is being maximally close to given value.

Let us demonstrate designed "Optimization SASS, Version 2.0" IAT for prognosis and optimization in various regimes. **Figures 4**–**6** corresponds search regime SP delivery program and repair capacity in years of planning time period for support fixed level of repair characteristic—0,75 (**Figures 4** and **5**) at minimally sufficient budget. As the result of optimal search program (**Table 2**) the following programs were obtained:

• for SP delivery (0, 0, 1, 3, 4, 5, 6, 6, 6) (in things);

General costs for delivery and repair are equal to \$7150 at total budget \$6947. Dynamics of costs and appropriations are given on **Figure 5**. Evidently, maximal costs are being repair costs. The repair costs are economically sound at given price ratio. Repair coefficient full during 4 years of exploitation is explained by the fact that the maintenance of repair coefficient is unprofitable during period when its value exceeds given level. It is obvious that CP repair begins with outset of

*Probabilistic Modeling, Estimation and Control for CALS Organization-Technical-Economic…*

**Figures 6** and **7** corresponds programs of search of delivery and repair at conditions of financial restrictions. In this case general delivery and costs do not exceed annual budget and also whole planning time period. But it is impossible to deduct repair coefficient at 0,75 level (**Figure 6**). Optimal programs at the level of repair coefficient equal to 0,66 for the end of time period are given on **Table 3**. In this case budget restrictions are valid. Therefore, we have the

exploitation period but SP purchasing after 4 years of exploitation.

• for SP delivery (0, 0, 1, 1, 2, 3, 2, 9, 14) (in things);

dynamics of delivery and repair costs are given on **Figure 7**.

• for CP repair capacity (21, 23, 23, 19, 18, 18, 17, 2, 0) (years<sup>1</sup>

General costs are approximately equal 5860 \$ at total budget 5788 \$. Optimal

).

following programs:

**127**

**Figure 6.**

**Table 2.**

*Mean coefficient of serviceability (wittingly restricted budget).*

*DOI: http://dx.doi.org/10.5772/intechopen.88025*

*Optimization results (restricted budget wittingly).*

• for CP repair capacity (21, 23, 23, 20, 20, 20, 20, 21, 22) (in years<sup>1</sup> ).

**Figure 4.** *Mean coefficient of serviceability (minimal adequate budget).*

**Figure 5.** *Dynamics of costs and appropriations (minimal adequate budget).*

#### **Figure 6.**

Among the cost parameters there are specified the following ones: annual budget, price of one CP, price of one CP repair. For each characteristic, annual escala-

Replenishment and repair programs are optimal if SP superplus on store are

The received in computer experiments optimal programs are calculated for grant support of fixed level of readiness during exploitation time period at conditions of minimal sufficient budget which is determined in optimization process. In the case of the optimization delivery program at conditions of wittingly restricted budget the developed programs provide readiness level. This level is being maximally close to given value. Let us demonstrate designed "Optimization SASS, Version 2.0" IAT for prognosis and optimization in various regimes. **Figures 4**–**6** corresponds search regime SP delivery program and repair capacity in years of planning time period for support fixed level of repair characteristic—0,75 (**Figures 4** and **5**) at minimally sufficient budget. As the result of optimal search program (**Table 2**) the following programs were obtained:

tion price coefficient is fixed.

*Probability, Combinatorics and Control*

**Figure 4.**

**Figure 5.**

**126**

minimal. It is equivalent to cost supply minimum.

• for SP delivery (0, 0, 1, 3, 4, 5, 6, 6, 6) (in things);

*Mean coefficient of serviceability (minimal adequate budget).*

*Dynamics of costs and appropriations (minimal adequate budget).*

• for CP repair capacity (21, 23, 23, 20, 20, 20, 20, 21, 22) (in years<sup>1</sup>

).

*Mean coefficient of serviceability (wittingly restricted budget).*


#### **Table 2.**

*Optimization results (restricted budget wittingly).*

General costs for delivery and repair are equal to \$7150 at total budget \$6947. Dynamics of costs and appropriations are given on **Figure 5**. Evidently, maximal costs are being repair costs. The repair costs are economically sound at given price ratio. Repair coefficient full during 4 years of exploitation is explained by the fact that the maintenance of repair coefficient is unprofitable during period when its value exceeds given level. It is obvious that CP repair begins with outset of exploitation period but SP purchasing after 4 years of exploitation.

**Figures 6** and **7** corresponds programs of search of delivery and repair at conditions of financial restrictions. In this case general delivery and costs do not exceed annual budget and also whole planning time period. But it is impossible to deduct repair coefficient at 0,75 level (**Figure 6**). Optimal programs at the level of repair coefficient equal to 0,66 for the end of time period are given on **Table 3**. In this case budget restrictions are valid. Therefore, we have the following programs:


General costs are approximately equal 5860 \$ at total budget 5788 \$. Optimal dynamics of delivery and repair costs are given on **Figure 7**.

#### **Figure 7.**

*Program of delivery and repair (restricted budget wittingly).*


**Table 3.** *Optimization results (wittingly restricted budget).*
