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Adaptive Supply Chain Management 2010 ed. [Kõva köide]

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  • Formaat: Hardback, 269 pages, kõrgus x laius: 235x155 mm, kaal: 1330 g, XXXII, 269 p., 1 Hardback
  • Ilmumisaeg: 15-Dec-2009
  • Kirjastus: Springer London Ltd
  • ISBN-10: 1848829515
  • ISBN-13: 9781848829510
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Adaptive Supply Chain Management 2010 ed.Suurem pilt
  • Formaat: Hardback, 269 pages, kõrgus x laius: 235x155 mm, kaal: 1330 g, XXXII, 269 p., 1 Hardback
  • Ilmumisaeg: 15-Dec-2009
  • Kirjastus: Springer London Ltd
  • ISBN-10: 1848829515
  • ISBN-13: 9781848829510
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781848829510.html
Märksõnad:
Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support.Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance.Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations.

This book provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory and operations research. It also considers supply chain adaptability, stability and crisis-resistance.
Abbreviations xxxi
Evolution of Supply Chain Management (SCM)
1(18)
Role of SCM in Enterprise Management
1(3)
Predecessors and Establishment of SCM
4(6)
Market and Enterprise Management Developments 1960-2010
4(1)
Objective Economic Grounds of SCM Development
4(1)
Development and Merit of SCM
5(1)
Organizational Aspects of SCM
6(4)
SCM and Related Disciplines
10(9)
Logistics and SCM
10(2)
The Multi-disciplinary Nature of SCM
12(1)
The Main Directions of Research on SCM
13(2)
References
15(4)
Conceptual Frameworks for SCM
19(16)
Agile, Flexible and Responsive Supply Chains
19(4)
Postponement, Modularization and Agility
20(1)
Virtualization and Agility
21(1)
Coordination and Agility
22(1)
Flexibility, Coordination and Agility
22(1)
Vision of the Adaptive SCM (A-SCM): Conceptual Framework
23(12)
Adaptive Supply Chains: State of the Art
23(3)
Basic Terms and Definitions
26(1)
A-SCM Framework
27(1)
A-SCM Drivers and Organization
28(3)
Application Issues
31(1)
References
31(4)
Decision-making support for SCM
35(22)
Model-based Decision-making Support
35(7)
Models: Basic Terms and Classifications
35(4)
Mathematical Models
39(1)
Information Models
40(2)
Information Systems-based Decision-making Support
42(5)
Coordination and of Information Technologies
42(2)
Classification of Information Technologies in SCM
44(2)
Impact of Information Technology on Management
46(1)
Integrated Frameworks of Decision-making Support
47(10)
Information View of Integrated Modelling Frameworks
47(1)
Mathematical View of Integrated Modelling Frameworks
48(1)
Main Requirements for Integrated Decision-support Systems
49(3)
References
52(5)
Challenges in Research on Modern and Future Supply Chains
57(12)
Potential Supply Chain Performance and Stability
57(1)
Uncertainty and Dynamics
58(1)
Interrelations and Optimality of Decisions
59(1)
Multi-structural Nature of Supply Chains
60(1)
Multi-Disciplinary Modelling
61(1)
Establishing Links to Product Life Cycle, Related Enterprise Management Functions and the Environment
62(1)
Information Technologies and Organizational Aspects
63(1)
Twelve Main Misunderstandings of SCM
63(6)
References
65(4)
Uncertainty, Risk and Complexity
69(12)
Origins and Variety of Uncertainty
69(5)
Uncertainty and Perturbation Impacts
69(1)
Sources of Uncertainty
70(3)
Uncertainty within the Complexity Management
73(1)
Risk Management in Supply Chains
74(2)
Supply Chains as Complex Systems
76(2)
Practical Issues of Uncertainty in Supply Chains
78(3)
References
79(2)
Handling Uncertainty in Supply Chains
81(12)
Supply Chain Security
81(3)
Purposeful Perturbation Influences on Supply Chains
81(1)
The Concept and Tools of Supply Chain Security
82(2)
Supply Chain Vulnerability
84(2)
Prevention of Non-purposeful Perturbation Impacts on Supply Chains
84(1)
Supply Chain Adjustment in the Case of Non-purposeful Perturbation Impacts
85(1)
Managerial Impacts to Handle Uncertainty in Supply Chains
86(7)
Supply Chain Reliability
87(1)
Supply Chain Flexibility and Adaptation
87(2)
References
89(4)
Stream: Stability-based Realization of Economic Performance and Management
93(26)
Necessity for Stream
93(1)
Economic Performance and Stability of Supply Chains: A Strategic Analysis
94(2)
``Waterline'' Concept for Stability Analysis
94(1)
Factors of Stability Decrease and Maintenance
95(1)
Terminological Basics of Global Stability Analysis at the Tactical-Operational Level
96(4)
Interrelations of Properties
100(8)
Robustness, Adaptability and Adaptation
101(2)
Resilience and BIBO Stability
103(2)
Supply Chain Global Stability and Manageability
105(3)
Example of Decision Making in the Case of Perturbation Influences
108(2)
General Algorithms of Supply Chain (Re)planning Under Uncertainty
110(9)
General Algorithm of Supply Chain Planning
110(3)
General Algorithm of Supply Chain Replanning
113(3)
References
116(3)
Quantitative Modelling of Supply Chains
119(18)
Operations Research
119(5)
Optimization
119(2)
Simulation
121(2)
Heuristics
123(1)
Control Theory
124(6)
Control Theory Basics
124(3)
Advantages of Control Theory Application in the SCM Domain
127(2)
Shortcomings and Requirements for Extension
129(1)
Complex Adaptive Systems and Multi-agent Systems
130(1)
Critical Analysis
131(6)
References
132(5)
DIMA - Decentralized Integrated Modelling Approach
137(16)
General Basics of DIMA
137(2)
Active Modelling Objects
139(1)
Integration Views
140(3)
Multi-model Complexes and Qualimetry of Models
143(4)
Decentralization
147(1)
Integrated Modelling for Supply Chain Adaptive Planning and Execution
148(5)
References
150(3)
Structure Dynamics Control and Multi-model Analysis
153(20)
On the Control Approach: Conceptual and Mathematical Issues
153(2)
Basics of Structure Dynamics Control
155(4)
Multi-model Description of Supply Chain Control Processes
159(3)
General Formal Statement of the Supply Chain Structure Dynamics Control Problem
162(2)
Generalized Dynamic Model of Supply Chain Control Processes (M Model)
164(2)
Main Phases and Steps of Optimal Structure Dynamics Control Modelling
166(7)
Supply Chain Synthesis Algorithm
166(1)
Method of Attainable Sets for the Evaluation of Supply Chain Goal Abilities
166(4)
Supply Chain Resynthesis Algorithm
170(1)
References
171(2)
Adaptive Planning of Supply Chains
173(12)
Planning
173(3)
Adaptive Planning
176(1)
Adaptation Framework
177(2)
Controller Concept
179(1)
Supply Chain Planning Levels and Their Reflections
180(5)
References
182(3)
Modelling Operations Dynamics, Planning and Scheduling
185(20)
Research Approach
185(1)
Dynamic Models of Operations Dynamics Control
186(9)
Dynamic Models of Collaborative Operations Control
187(4)
Dynamic Model of Resource Control
191(1)
Dynamic Model of Flow Control
192(2)
Integrated Dynamic Model of Supply Chain Operations Control
194(1)
Formal Problem Statement of Complex Operations Dynamics Control
195(1)
Algorithms of Operations Dynamics Planning and Scheduling
195(7)
Transformation of the Optimal Control Problem to the Boundary Problem
195(4)
Existing Methods for Optimal Control Based on the Maximum Principle
199(2)
Propocsed Algorithm of Supply Chain Scheduling
201(1)
Concluding Remarkss
202(3)
References
203(2)
Supply Chain Reconfiguration and Models' Adaptation
205(14)
Variety of Supply Chain Reconfiguration Issues
205(1)
Mathematical Model of the Supply Chain Reconfiguration
206(7)
Algorithms of Supply Chain Parametrical and Structural Model Adaptation
213(6)
Parametric Adaptation
214(2)
Structural Adaptation
216(2)
References
218(1)
Models of Supply Chain Global Stability and Manageability
219(14)
General Remarks on the Evalution of Supply Chain Goal Abilties
219(1)
Construction of the Attainable Sets
220(3)
Dynamics Multi-criteria Models of Supply Chain Global Stability Analysis
223
Stability Analysis Models for Different Input Data
224(6)
Deterministic Data
224(3)
Stochastic Data
227(1)
Interval Data
228(2)
Stability Index Calculation
230(3)
References
232(1)
Experimental Environment
233(10)
Concept of the United Experimental Environment
233(1)
Integrated Supply Chain Planning and Scheduling
234(4)
Supply Chain Stability Analysis
238(5)
References
241(2)
Conclusion
243(8)
Discussion of Findings
243(6)
Future Research Outlook
249(2)
Glossary 251(6)
Natations 257(10)
Index 267
Dr Dmitry Ivanov has a PhD in Economics and Business Administration with a major in Supply Chain Management, Production Engineering, Operations Management, and is currently Chair of Production Management and Industrial Organization at the Chemnitz University of Technology. Dr Ivanov is also President of the German-Russain Logistics Society (DR-LOG) and a member of Russia's Presidium of National Supply Chain Council.



Prof. Dr.-Ing. Boris Sokolov works for the Saint Petersburg Institute of Informatics and Automation at the Russian Academy of Science.