Optimal Enterprise (Complex and Enterprise Systems Engineering)

Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Foreword
Basic Notation and Abbreviations.
Definitions
Part I Methodology: Foundations of Enterprise Control
	Chapter 1 Enterprise and Complex Activity: Qualitative Models
		1.1 Introduction
			1.1.1 Complex Activity and an Actor: an Enterprise
			1.1.2 Management of Enterprise and Its Complex Activity
			1.1.3 Related Disciplines and Knowledge Domains
		1.2 Structural Models of Complex Activity and Enterprise
			1.2.1 Structural Element of Activity
			1.2.2 Logical Structure of Complex Activity
			1.2.3 Cause–Effect Structure of Complex Activity
		1.3 Uncertainty and Creation of Elements of Complex Activity
		1.4 Lifecycles of Complex Activity
			1.4.1 Conceptualization of the Lifecycle of Complex Activity
			1.4.2 The Process Model (Model of the Lifecycle of Complex Activity)
		1.5 Implementation of the Management Processes
			1.5.1 A Methodological Analysis of the Category of Management
			1.5.2 Enterprise Complex Activity as an Aggregate of Lifecycles of SEAs
		Conclusion
		References
	Chapter 2 Enterprise Management and Lifecycles Compatibility
		2.1 A Sociotechnical System, Complex Activity, and Purposefulness
		2.2 Subject Matter of Enterprise Management
		2.3 Means of and Factors Involved in Enterprise Management
		2.4 Ordering of Management Actions along the Lifecycle of Complex Activity
		2.5 Compatibility of Complex Activity Lifecycles
		Conclusion
		References
Part II Mathematics: Mathematical Models and Methods of Enterprise Control
	Chapter 3 Enterprise Control Problem: The Statement
		3.1 Concept of Optimization
		3.2 Enterprise Control Problem: Qualitative Model
			3.2.1 Controlled Entity
			3.2.2 Control Means
			3.2.3 Uncertainty
			3.2.4 Objective Function and Constraints
			3.2.5 Brief
		3.3 Enterprise Control Problem among Related Knowledge Domains
			3.3.1 “Epistemologically Weak” and “Strong” Sciences and the Enterprise Control Problem
			3.3.2 Enterprise Control Problem and Theory of Control in Organizations
			3.3.3 Enterprise Control Problem and Mathematical Models in Related Disciplines
				3.3.3.1 Operations research
				3.3.3.2 Models of structures and processes
		3.4 Enterprise Control Problem as an Optimization Problem
			3.4.1 Formal Description of a Structural Element of Activity as a Dynamic Active System
			3.4.2 Game of Agents in a Dynamic Active System
			3.4.3 Optimal Control of the Structural Element of Activity: a Dynamic Active System
			3.4.4 Optimal Control of an Enterprise: a Hierarchical Dynamic Active System
			3.4.5 Enterprise Control Optimization Scheme
		Conclusion
		References
	Chapter 4 Contracts
		4.1 Static Principal-Agent Models
			4.1.1 Deterministic Case
				4.1.1.1 Deterministic case
				4.1.1.2 Full awareness of the principal and agent
			4.1.2 Interval Model of Uncertainty
			4.1.3 Additive Probabilistic Model of Uncertainty
			4.1.4 “Simple” Agent (Probabilistic Model of Uncertainty)
		4.2 Static Multi-Agent Models
			4.2.1 Multiple Agents and Additive Probabilistic Model of Uncertainty
			4.2.2 Incentive Problem in an “Extended Enterprise”
		4.3 Dynamic Multi-Agent models
			4.3.1 Contracts in Dynamic System with One Principal and Multiple Agents
			4.3.2 Contracts in Dynamic Hierarchical Multi-Agent Active System
		Conclusion
		References
	Chapter 5 Technology
		5.1 Technology Management Problem
		5.2 Known Models and Methods in Related Scientific Domains
		5.3 Technology Evolution and Management
			5.3.1 Core Properties of the Basic Model of the Technology Evolution Process
			5.3.2 Approximations of Maturity/Learning Curve
			5.3.3 Expected Maturity/Learning Time
			5.3.4 Extension of the Basic Model of the Technology Evolution Process
		5.4 Integration of Technology Components
			5.4.1 Parallel and Sequential Maturing/Learning
			5.4.2 Complex Integration: “Learning to Learn”
		5.5 Technology in an External Environment
			5.5.1 “Standard Solutions” and Optimal Technology Management
			5.5.2 Entropy
		Conclusion
		Appendixes
			Appendix 5.1 Expected time to reach the “absolute” maturity/learning level
			Appendix 5.2 Proof of Proposition 5.4 and Corollary 5.1
				Proof of Proposition 5.4
				Proof of Corollary 5.1
		References
	Chapter 6 Human Capital
		6.1 Problem of Human Capital Management
			6.1.1 Requirements to the Model of Human Capital of an Enterprise
			6.1.2 Known Approaches and Models of Human Capital
		6.2 Pools of Active Resources as a Formal Representation of Human Capital
			6.2.1 Basic Model of Pool of Active Resources
			6.2.2 The Human Capital Effect on Enterprise Output
		6.3 Statistics of the Active Resource Traffic
			6.3.1 Nonparametric Statistics of the Active Resource Traffic
			6.3.2 Sequential Analysis of the Active Resource Traffic
		Conclusion
		Appendixes
			Appendix A6.1 The Effect of Human Capital on Enterprise Output
			Appendix A6.2 Nonparametric Statistics of the Active Resource Traffic
			Appendix A6.3 Detection of Changes in the Active Resource Traffic
		References
	Chapter 7 Planning
		7.1 Algorithmic Models of Planning Process in a Hierarchical Dynamic Multi-Agent Active System
			7.1.1 An Algorithm of Compatible Planning in a SEA Hierarchy
			7.1.2 Quantitative Planning in the Hierarchy of Structural Elements of Activity
			7.1.3 Optimal Planning of CA Execution According to the Networked Technology
			7.1.4 Optimal Design Process of Networked Technology
		7.2 Planning of Transition from Design Phase to Execution Phase in Dynamic Active System
			7.2.1 Optimal Transition from Design to Execution Under Known External Environment
			7.2.2 Transition from the Design Phase to Execution One under Unknown External Environment
		7.3 Planning and Control in Dynamic Multi-Agent Active System with Changing Characteristics
			7.3.1 Classes of Optimization Problem in an Active System with Changing Characteristics
			7.3.2 Planning and Control Procedure in an Active System with Changing Characteristics
		7.4 Planning of Human Capital
			7.4.1 Sources of Uncertainty and Variants of Optimization Task
			7.4.2 Known Methods and Models
			7.4.3 Planning of the Headcount of the Active Resource Pool
			7.4.4 Planning Characteristics of Active Resource Lifecycles
		Conclusion
		Appendixes
			Appendix A7.1 Optimal Choice of the Decision-Making Procedure Parameters (7.26)
			Appendix A7.2 Simulation-Based Study of the Decision-Making Procedure (7.26)
			Appendix A7.3 Optimisation in “Batch Production” Case (7.27)
			Appendix A7.4 Example of “Simple Agent” Model Planning with Disorder of Technology Function
			Appendix A7.5 Bellman Equations Solution for Probabilistic Case (7.36)
			Appendix A7.6 Bellman Equations Solution for Interval Case (7.37)
		References
Part III Practice: Business Tools and Applications
	Chapter 8 Optimal Enterprise Control Framework and Practical Implementation
		8.1 Optimal Enterprise Control Framework
			8.1.1 OEC Framework as the Universal Algorithm of Optimal Enterprise Control
				Design phase
				Execution phase
				Reflection phase
			8.1.2 Integration and Generalization Capabilities of the OEC Framework
			8.1.3 Perfect Enterprise Concept and Checklists
		8.2 Some Applications of Contracts
		8.3 Practical Technology Development Optimization
			8.3.1 Optimal Technology Development in Batch Manufacturing
			8.3.2 Optimal Learning in Customer Service Center
		8.4 Optimal Planning in Practice
			8.4.1 Compatible Planning in Hierarchical Enterprise
			8.4.2 Headcount Planning and Optimization
			8.4.3 Optimization of Economical Characteristics of Human Resource Lifecycles
			8.4.4 Contracts in Changing Business Environment
			8.4.5 Control of Characteristics of Human Resource Lifecycles
			8.4.6 Earned Value Management and Activity Planning
		Conclusion
		Appendixes
			Appendix A8.1 Simulation of the Optimal Technology Development Process in Batch Manufacturing
			Appendix A8.2 Technology Learning at the Customer Service Center
		References
Afterword
Index