Adaptive Supply Chain Management

by Ivanov, Dmitry; Sokolov, Boris

• ISBN13: 9781848829510
• ISBN10: 1848829515
• Edition: 1st
• Format: Hardcover
• Copyright: 2009-12-03
• Publisher: Springer Verlag

Summary

The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. 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. Particular highlights include:• an understanding of supply chain performance as a composition of profitability and global stability;• the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics;• a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and• supply chains modelled as dynamic multi-structural active systems.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.

Table of Contents

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