Foreword |
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xi | |
Basic Notation and Abbreviations |
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xvii | |
Definitions |
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xix | |
Part I Methodology: Foundations of Enterprise Control |
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Chapter 1 Enterprise and Complex Activity: Qualitative Models |
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3 | (40) |
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3 | (11) |
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1.1.1 Complex Activity and an Actor: an Enterprise |
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4 | (3) |
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1.1.2 Management of Enterprise and Its Complex Activity |
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7 | (4) |
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1.1.3 Related Disciplines and Knowledge Domains |
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11 | (3) |
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1.2 Structural Models of Complex Activity and Enterprise |
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14 | (6) |
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1.2.1 Structural Element of Activity |
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14 | (2) |
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1.2.2 Logical Structure of Complex Activity |
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16 | (2) |
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1.2.3 Cause-Effect Structure of Complex Activity |
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18 | (2) |
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1.3 Uncertainty and Creation of Elements of Complex Activity |
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20 | (4) |
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1.4 Lifecycles of Complex Activity |
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24 | (3) |
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1.4.1 Conceptualization of the Lifecycle of Complex Activity |
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24 | (3) |
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1.4.2 The Process Model (Model of the Lifecycle of Complex Activity) |
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27 | (1) |
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1.5 Implementation of the Management Processes |
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27 | (8) |
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1.5.1 A Methodological Analysis of the Category of Management |
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27 | (6) |
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1.5.2 Enterprise Complex Activity as an Aggregate of Lifecycles of SEAS |
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33 | (2) |
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35 | |
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34 | (9) |
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Chapter 2 Enterprise Management and Lifecycles Compatibility |
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43 | (28) |
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2.1 A Sociotechnical System, Complex Activity, and Purposefulness |
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43 | (2) |
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2.2 Subject Matter of Enterprise Management |
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45 | (6) |
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2.3 Means of and Factors Involved in Enterprise Management |
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51 | (6) |
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2.4 Ordering of Management Actions along the Lifecycle of Complex Activity |
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57 | (4) |
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2.5 Compatibility of Complex Activity Lifecycles |
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61 | (4) |
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65 | (2) |
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67 | (4) |
Part II Mathematics: Mathematical Models and Methods of Enterprise Control |
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Chapter 3 Enterprise Control Problem: The Statement |
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71 | (48) |
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3.1 Concept of Optimization |
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72 | (3) |
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3.2 Enterprise Control Problem: Qualitative Model |
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75 | (5) |
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75 | (2) |
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77 | (1) |
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78 | (1) |
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3.2.4 Objective Function and Constraints |
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79 | (1) |
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79 | (1) |
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3.3 Enterprise Control Problem among Related Knowledge Domains |
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80 | (13) |
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3.3.1 "Epistemologically Weak" and "Strong" Sciences and the Enterprise Control Problem |
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80 | (3) |
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3.3.2 Enterprise Control Problem and Theory of Control in Organizations |
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83 | (7) |
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3.3.3 Enterprise Control Problem and Mathematical Models in Related Disciplines |
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90 | (3) |
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3.3.3.1 Operations research |
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90 | (1) |
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3.3.3.2 Models of structures and processes |
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91 | (2) |
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3.4 Enterprise Control Problem as an Optimization Problem |
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93 | (22) |
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3.4.1 Formal Description of a Structural Element of Activity as a Dynamic Active System |
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94 | (3) |
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3.4.2 Game of Agents in a Dynamic Active System |
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97 | (2) |
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3.4.3 Optimal Control of the Structural Element of Activity: a Dynamic Active System |
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99 | (3) |
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3.4.4 Optimal Control of an Enterprise: a Hierarchical Dynamic Active System |
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102 | (8) |
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3.4.5 Enterprise Control Optimization Scheme |
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110 | (5) |
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115 | (1) |
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116 | (3) |
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119 | (32) |
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4.1 Static Principal-Agent Models |
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119 | (11) |
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119 | (3) |
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4.1.1.1 Deterministic case |
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121 | (1) |
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4.1.1.2 Full awareness of the principal and agent |
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122 | (1) |
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4.1.2 Interval Model of Uncertainty |
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122 | (1) |
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4.1.3 Additive Probabilistic Model of Uncertainty |
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123 | (6) |
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4.1.4 "Simple" Agent (Probabilistic Model of Uncertainty) |
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129 | (1) |
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4.2 Static Multi-Agent Models |
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130 | (7) |
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4.2.1 Multiple Agents and Additive Probabilistic Model of Uncertainty |
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130 | (2) |
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4.2.2 Incentive Problem in an "Extended Enterprise" |
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132 | (5) |
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4.3 Dynamic Multi-Agent models |
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137 | (11) |
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4.3.1 Contracts in Dynamic System with One Principal and Multiple Agents |
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137 | (5) |
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4.3.2 Contracts in Dynamic Hierarchical Multi-Agent Active System |
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142 | (6) |
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148 | (1) |
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149 | (2) |
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151 | (42) |
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5.1 Technology Management Problem |
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151 | (4) |
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5.2 Known Models and Methods in Related Scientific Domains |
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155 | (3) |
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5.3 Technology Evolution and Management |
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158 | (10) |
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5.3.1 Core Properties of the Basic Model of the Technology Evolution Process |
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158 | (3) |
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5.3.2 Approximations of Maturity/Learning Curve |
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161 | (2) |
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5.3.3 Expected Maturity/Learning Time |
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163 | (4) |
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5.3.4 Extension of the Basic Model of the Technology Evolution Process |
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167 | (1) |
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5.4 Integration of Technology Components |
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168 | (10) |
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5.4.1 Parallel and Sequential Maturing/Learning |
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169 | (2) |
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5.4.2 Complex Integration: "Learning to Learn" |
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171 | (7) |
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5.5 Technology in an External Environment |
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178 | (7) |
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5.5.1 "Standard Solutions" and Optimal Technology Management |
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178 | (6) |
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184 | (1) |
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185 | (1) |
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186 | (3) |
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Appendix 5.1 Expected time to reach the "absolute" maturity/learning level |
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186 | (3) |
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Appendix 5.2 Proof of Proposition 5.4 and Corollary 5.1 |
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189 | (1) |
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189 | (1) |
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190 | (1) |
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190 | (3) |
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193 | (32) |
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6.1 Problem of Human Capital Management |
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194 | (6) |
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6.1.1 Requirements to the Model of Human Capital of an Enterprise |
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194 | (4) |
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6.1.2 Known Approaches and Models of Human Capital |
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198 | (2) |
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6.2 Pools of Active Resources as a Formal Representation of Human Capital |
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200 | (5) |
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6.2.1 Basic Model of Pool of Active Resources |
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200 | (4) |
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6.2.2 The Human Capital Effect on Enterprise Output |
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204 | (1) |
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6.3 Statistics of the Active Resource Traffic |
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205 | (7) |
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6.3.1 Nonparametric Statistics of the Active Resource Traffic |
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205 | (2) |
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6.3.2 Sequential Analysis of the Active Resource Traffic |
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207 | (5) |
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212 | (1) |
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213 | (9) |
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Appendix A6.1 The Effect of Human Capital on Enterprise Output |
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213 | (4) |
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Appendix A6.2 Nonparametric Statistics of the Active Resource Traffic |
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217 | (2) |
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Appendix A6.3 Detection of Changes in the Active Resource Traffic |
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219 | (3) |
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222 | (3) |
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225 | (68) |
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7.1 Algorithmic Models of Planning Process in a Hierarchical Dynamic Multi-Agent Active System |
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226 | (14) |
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7.1.1 An Algorithm of Compatible Planning in a SEA Hierarchy |
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226 | (5) |
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7.1.2 Quantitative Planning in the Hierarchy of Structural Elements of Activity |
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231 | (5) |
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7.1.3 Optimal Planning of CA Execution According to the Networked Technology |
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236 | (1) |
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7.1.4 Optimal Design Process of Networked Technology |
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237 | (3) |
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7.2 Planning of Transition from Design Phase to Execution Phase in Dynamic Active System |
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240 | (7) |
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7.2.1 Optimal Transition from Design to Execution Under Known External Environment |
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240 | (4) |
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7.2.2 Transition from the Design Phase to Execution One under Unknown External Environment |
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244 | (3) |
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7.3 Planning and Control in Dynamic Multi-Agent Active System with Changing Characteristics |
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247 | (8) |
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7.3.1 Classes of Optimization Problem in an Active System with Changing Characteristics |
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248 | (3) |
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7.3.2 Planning and Control Procedure in an Active System with Changing Characteristics |
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251 | (4) |
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7.4 Planning of Human Capital |
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255 | (11) |
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7.4.1 Sources of Uncertainty and Variants of Optimization Task |
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256 | (1) |
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7.4.2 Known Methods and Models |
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257 | (1) |
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7.4.3 Planning of the Headcount of the Active Resource Pool |
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258 | (6) |
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7.4.4 Planning Characteristics of Active Resource Lifecycles |
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264 | (2) |
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266 | (1) |
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267 | (20) |
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Appendix A7.1 Optimal Choice of the Decision-Making Procedure Parameters (7.26) |
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267 | (4) |
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Appendix A7.2 Simulation-Based Study of the Decision-Making Procedure (7.26) |
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271 | (4) |
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Appendix A7.3 Optimisation in "Batch Production" Case (7.27) |
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275 | (1) |
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Appendix A7.4 Example of "Simple Agent" Model Planning with Disorder of Technology Function |
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276 | (4) |
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Appendix A7.5 Bellman Equations Solution for Probabilistic Case (7.36) |
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280 | (4) |
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Appendix A7.6 Bellman Equations Solution for Interval Case (7.37) |
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284 | (3) |
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287 | (6) |
Part III Practice: Business Tools and Applications Chapter 8 Optimal Enterprise Control Framework and Practical Implementation |
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293 | (50) |
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8.1 Optimal Enterprise Control Framework |
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294 | (13) |
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8.1.1 OEC Framework as the Universal Algorithm of Optimal Enterprise Control |
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294 | (5) |
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296 | (2) |
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298 | (1) |
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299 | (1) |
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8.1.2 Integration and Generalization Capabilities of the OEC Framework |
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299 | (3) |
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8.1.3 Perfect Enterprise Concept and Checklists |
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302 | (5) |
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8.2 Some Applications of Contracts |
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307 | (4) |
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8.3 Practical Technology Development Optimization |
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311 | (6) |
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8.3.1 Optimal Technology Development in Batch Manufacturing |
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311 | (4) |
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8.3.2 Optimal Learning in Customer Service Center |
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315 | (2) |
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8.4 Optimal Planning in Practice |
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317 | (15) |
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8.4.1 Compatible Planning in Hierarchical Enterprise |
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317 | (3) |
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8.4.2 Headcount Planning and Optimization |
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320 | (2) |
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8.4.3 Optimization of Economical Characteristics of Human Resource Lifecycles |
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322 | (2) |
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8.4.4 Contracts in Changing Business Environment |
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324 | (3) |
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8.4.5 Control of Characteristics of Human Resource Lifecycles |
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327 | (2) |
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8.4.6 Earned Value Management and Activity Planning |
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329 | (3) |
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332 | (1) |
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332 | (10) |
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Appendix A8.1 Simulation of the Optimal Technology Development Process in Batch Manufacturing |
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332 | (4) |
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Appendix A8.2 Technology Learning at the Customer Service Center |
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336 | (6) |
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342 | (1) |
Afterword |
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343 | (4) |
Index |
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347 | |