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Foundation of Event-Driven Management of Quality of Economics, The State and Human Life
Contents
Chapter 3
Chapter 3: Management of the quality of economics and the state 'from above'
Pages
Contents
14-73
Chapter 3: Management of the quality of economics and the state 'from above'
3.1 New management criteria
14
3.2 New management objects
14
3.1.1 Criteria of quality management of economics and the state
14
3.2.1 The state and regional authorities
14
3.2.2 Social and economic systems and projects
14
3.2.3 Enterpises and companies
15
3.2.4 Quality of processes in human life
16
3.2.5 Safety of living space
16
3.3 New knowledge in economics and state management
16
3.3.1 Concepts and ideas of outstanding scientists related to economics management
16
3.3.2 Methodological foundations of management in economics and the state
17
3.3.3 Methodological foundations of safety and quality management
18
3.3.4 Boolean events-propositions in management
19
3.3.5 Public opinion as knowledge
19
3.3.6 System failure scenarios
20
3.4 New types of LP risk models.
21
3.4.1 Invalid LP risk models
21
3.4.2 Conceptual LP forecasting models
22
3.4.3 Indicative LP models of danger
24
3.4.3.1 The indicative LP model of the danger of non-validity of the innovations system state in Russia
24
3.4.4 Research topics on LP models
24
3.5 New challenges in the management of economics and the state
26
3.5.1 System management on the example of Russian safety management
27
3.5.1.1 The logical model
27
3.5.1.2 The logical risk model of a system
29
3.5.1.3 The probabilistic risk model of a system
30
3.5.1.4 LP analysis of the risk of economic state of the country
31
3.5.2 Consideration of the effect of repeated events on system quality assessment
33
3.5.3 Analysis of different outcomes of subsystems in a complex system
36
3.5.4 LP-management of overcoming economics from stagnation
37
3.5.4.1 The model of the validity of the state of the economy
39
3.5.4.2 The scenario of economic validity
40
3.5.4.3 The model of the success of management for overcoming economic stagnation
40
3.5.4.4 The process of overcoming stagnation
41
3.5.5 LP-management of system development
42
3.5.6 Event-driven management of big systems
43
3.5.7 LP-management of major systems
43
3.5.8 LP-management of the process of credit provision to a bank
43
3.5.8.1 Task setting
44
3.5.8.2 The LP model of loan risk
45
3.5.8.3 The identification of the LP-loan risk model
45
3.5.8.4 Problem setting
46
3.5.8.5 Training by the Monte Carlo method
47
3.5.8.6 Training by the gradient method
48
3.5.8.7 LP-analysis of loan risk
48
3.5.8.8 The impossibility of creating identical training and testing samples
49
3.5.8.9 The monitoring technique
50
3.5.8.10 The size of the training samples
50
3.5.8.11 Specification of the teaching sample
51
3.5.8.12 Replacement of the LP-loan risk model
52
3.5.8.13 The management of the loan provision procedure
53
3.6 Examples of systems management 'from above'
54
3.6.1 Quality assessment of management systems
54
3.6.2 LP-models for counteraction to bribery and corruption
55
3.6.2.1 The axioms of bribery and corruption counteraction
56
3.6.2.2 The bribery counteraction LP model
57
3.6.2.3 The LP model of bribery counteraction in government institutions
58
3.6.2.4 The LP-bribery risk model based on the analysis of service parameters
63
3.6.3 Management of living space safety
65
3.6.4 Hybrid LP risk model
67
3.6.5 Analysis of the reliability of power supply of the metallurgical plant
69
3.6.5.1 Introduction
69
3.6.5.2 The construction of the reliability structural model
70
3.6.5.3 The construction of the logical reliability model (L model)
71
3.6.5.4 The construction of the probabilistic reliability model (P model)
72
3.6.5.5 Computational studies
72
3.6.5.6 Conclusions
73
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Foreward
Introduction
Contents
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
References
Subject Index
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