Optimal control applications for operations strategy. ([2017])
- Record Type:
- Book
- Title:
- Optimal control applications for operations strategy. ([2017])
- Main Title:
- Optimal control applications for operations strategy
- Further Information:
- Note: Bowon Kim.
- Authors:
- Kim, Bowon
- Contents:
- Preface; Contents; 1 Optimal Control Theory and Operations Strategy; Abstract; 1 Basics of Optimal Control Theory; 1.1 Optimal Control Theory Model; 1.2 Maximum Principle; 2 Dynamics of Production Technology Development; 2.1 Introduction; 2.2 Production Technology Development; 2.3 Dynamic Optimal Control Model; 2.3.1 Dynamic Equations of Production Technology as Control Capability; 2.3.2 Dynamic Equation of System Dimension as System Capability; 2.3.3 System Utility Function; 2.3.4 Model Solution; 2.3.5 Value Interpretation of the Nonlearning Control Model. Nonlimiting Process ({\hbox{T}} \lt \infty)Limiting Process (T \to \infty); 2.3.6 Constraint on {\varvec{R(T)}}; 2.3.7 Manufacturing Learning-Induced Model; 2.3.8 Dynamic Learning Model; 2.4 Inferences and Implications; Appendix 1: Derivation of Eqs. (27)-(29); Appendix 2: Basics of Differential Equations; Types of Optimization Models; Discrete-Time Models; Nondynamic Models; Dynamic Models; Continuous-Time Models; Nondynamic Models; Dynamic Models; Simple Differential Equations; Basic Principle; Integrating Factor; Appendix 3: Current Value Hamiltonian; Appendix 4: Bounded Controls. 2 Value of Coordination in Supply Chain ManagementAbstract; 1 Joint Decision-Making in Supply Chain Management; 1.1 Decision-Making Structure; 1.2 Optimal Control Theory Models; 1.2.1 A Case in the Automotive Industry; 1.2.2 The Single Player-Dominating Decision-Making Structure: A Coercive Case; 1.2.3 The Balanced Decision-Making Structure:Preface; Contents; 1 Optimal Control Theory and Operations Strategy; Abstract; 1 Basics of Optimal Control Theory; 1.1 Optimal Control Theory Model; 1.2 Maximum Principle; 2 Dynamics of Production Technology Development; 2.1 Introduction; 2.2 Production Technology Development; 2.3 Dynamic Optimal Control Model; 2.3.1 Dynamic Equations of Production Technology as Control Capability; 2.3.2 Dynamic Equation of System Dimension as System Capability; 2.3.3 System Utility Function; 2.3.4 Model Solution; 2.3.5 Value Interpretation of the Nonlearning Control Model. Nonlimiting Process ({\hbox{T}} \lt \infty)Limiting Process (T \to \infty); 2.3.6 Constraint on {\varvec{R(T)}}; 2.3.7 Manufacturing Learning-Induced Model; 2.3.8 Dynamic Learning Model; 2.4 Inferences and Implications; Appendix 1: Derivation of Eqs. (27)-(29); Appendix 2: Basics of Differential Equations; Types of Optimization Models; Discrete-Time Models; Nondynamic Models; Dynamic Models; Continuous-Time Models; Nondynamic Models; Dynamic Models; Simple Differential Equations; Basic Principle; Integrating Factor; Appendix 3: Current Value Hamiltonian; Appendix 4: Bounded Controls. 2 Value of Coordination in Supply Chain ManagementAbstract; 1 Joint Decision-Making in Supply Chain Management; 1.1 Decision-Making Structure; 1.2 Optimal Control Theory Models; 1.2.1 A Case in the Automotive Industry; 1.2.2 The Single Player-Dominating Decision-Making Structure: A Coercive Case; 1.2.3 The Balanced Decision-Making Structure: A Balanced Case; 1.3 Analysis of the Model; 1.3.1 Dynamics of the Single Player-Dominated Case: The Coercive Case; 1.3.2 Dynamics of the Balanced Decision-Making Case: The Balanced Case; 1.4 Numerical Examples; 1.5 Managerial Implications. 2 Supply Chain Coordination2.1 Model Formulation; 2.1.1 A Simple Model: The Case of Constant Market Demand; 2.1.2 An Extended Model: The Case of Price-Dependent Market Demand; 2.2 Numerical Examples; 2.3 Conclusion and Managerial Implications; Appendix 1; A Single Player-Dominated (Coercive) Case; A Balanced Decision-Making Case; Appendix 2; Proof of Theorem 1; Proof of Theorem 2; Proof of Theorem 4; Proof of Theorem 5; Appendix 3: Discontinuous Control Variable; 3 Innovation Competition and Strategy; Abstract; 1 Basics of Dynamic Programming; 2 Basics of Differential Games. 2.1 Open-Loop Solution2.2 Feedback Solution; 3 Innovation Competition; 3.1 A Continuous Dynamic Model; 3.1.1 Model Formulation; 3.1.2 Analysis Results; 3.1.3 Dynamic Causal Relation Analysis; 3.2 Numerical Examples; 3.3 Managerial Implications and Discussion; 4 Firms' Cooperation and Competition for Innovation; 4.1 Competition Versus Collaboration; 4.2 A Differential Game Model; 4.2.1 A Markov Perfect Nash Equilibrium Case; 4.2.2 A Perfect Coordination (Collusive) Case; 4.3 Analysis of the Model; 4.4 Numerical Examples and Inferences; 4.5 Managerial Implications. … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2017
- Copyright Date:
- 2017
- Extent:
- 1 online resource
- Subjects:
- 658.4092
Management
Control theory
BUSINESS & ECONOMICS -- Industrial Management
BUSINESS & ECONOMICS -- Management
BUSINESS & ECONOMICS -- Management Science
BUSINESS & ECONOMICS -- Organizational Behavior
Control theory
Management
Business and Management
Operations Management
Innovation/Technology Management
Marketing
Environmental Economics
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789811035999
9811035997 - Related ISBNs:
- 9789811035982
9811035989 - Notes:
- Note: Includes bibliographical references and index.
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