5. About some problems of industrial safety for coal branch

As an example of effectively solving the problems of industrial safety, we consider an experience of the joint-stock company "Siberian Coal Energy Company (SUEK)" (see www.suek. com). SUEK is one of the world's largest coal companies with production assets in Russia and a global trading network. SUEK delivers long-term value to shareholders at every stage of the value chain—mining, processing, transportation, and shipment—through port facilities, sales, and distribution (Figure 10). This value chain includes different SoS. In practice many SoS of SUEK use "smart" systems [11, 14].

Below are the aspects researched:

(registered by Rospatent №2,004,610,858), and "complex for evaluating quality of production

The purposed approach to improve existing risk control concept includes (see Figure 8) [11–17]:

• For storehouse, dozens of variants of the decision of typical industrial problems for risk

For example, system, combined from complex interested system and "smart" system (also it may be SoS), can be analyzed by the formula (5) and probabilistic models described above (see Figure 9). The correct operation of this system of system during the given period means during the given period of prediction both the first and the second complex systems should operate correctly according their destinations. That is, integrated system is in the state "Integrity (correct operation)" if "AND" the interested system left and "AND" the "smart" system right

Thus, the proposed improved that risk control concept can be useful to perform effectively functions: risk prediction; rationale of quantitative system requirements to hardware, software, users, staff, and technologies; requirement analysis; estimation of project engineering decisions and possible danger; detection of bottlenecks; investigation of problems concerning potential threats to operation of complex systems; validation of system operation quality; rational optimization of system parameters; and rationale of plans, projects, and directions for effective system utilization, improvement, and development. The expected pragmatic effect is as follows: it is possible to provide essential system quality and safety rise and/or avoid wasted

expenses in system life cycle bases on the rational application of improved concept.

processes" (patented by Rospatent №2,010,614,145) [8–9].

34 Probabilistic Modeling in System Engineering

• Forming the storehouse of risk prediction knowledge

are in the state "Integrity (correct operation)."

Figure 8. The purposed approach to improve existing risk control concept.

control

4. The improvement of existing risk control concept

• Creation and perfection of probabilistic models for problem decision • Automatic combination and generation of new probabilistic models

