Ebook: Understanding Autonomous Cooperation and Control in Logistics: The Impact of Autonomy on Management, Information, Communication and Material Flow
- Tags: Engineering Economics Organization Logistics Marketing, Production/Logistics, Business Information Systems, Electronic Commerce/e-business, Simulation and Modeling
- Year: 2007
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
Autonomous co-operation addresses the control problem of logistic processes characterized by dynamical changing parameters and complex system behaviour. During control procedures erratic, non-predictable changes of parameters can occur. Therefore, future planning and control has to face severe and vital uncertainties. Conventional hierarchical systems are amplifying these difficulties because of the additional time delay of information transfer and additional calculation time. On the other hand, autonomous co-operation enables logistic objects (e.g. a single container) in decentralized structures to collect and evaluate information simultaneously to any event of change, so that they can render and execute decisions on their own. Therefore, this book aims to give a profound understanding of autonomous co-operation and to examine its potentials to increase the robustness and positive emergence of logistic processes substantially.
Autonomous co-operation addresses the control problem of logistic processes characterized by dynamical changing parameters and complex system behaviour. During control procedures erratic, non-predictable changes of parameters can occur. Therefore, future planning and control has to face severe and vital uncertainties. Conventional hierarchical systems are amplifying these difficulties because of the additional time delay of information transfer and additional calculation time. On the other hand, autonomous co-operation enables logistic objects (e.g. a single container) in decentralized structures to collect and evaluate information simultaneously to any event of change, so that they can render and execute decisions on their own. Therefore, this book aims to give a profound understanding of autonomous co-operation and to examine its potentials to increase the robustness and positive emergence of logistic processes substantially.
Autonomous co-operation addresses the control problem of logistic processes characterized by dynamical changing parameters and complex system behaviour. During control procedures erratic, non-predictable changes of parameters can occur. Therefore, future planning and control has to face severe and vital uncertainties. Conventional hierarchical systems are amplifying these difficulties because of the additional time delay of information transfer and additional calculation time. On the other hand, autonomous co-operation enables logistic objects (e.g. a single container) in decentralized structures to collect and evaluate information simultaneously to any event of change, so that they can render and execute decisions on their own. Therefore, this book aims to give a profound understanding of autonomous co-operation and to examine its potentials to increase the robustness and positive emergence of logistic processes substantially.
Content:
Front Matter....Pages I-XXVIII
Changing Paradigms in Logistics — Understanding the Shift from Conventional Control to Autonomous Cooperation and Control....Pages 1-16
Perspectives on Initial Ideas and Conceptual Components of Autonomous Cooperation and Control....Pages 17-22
Prologue to Autonomous Cooperation — the Idea of Self-Organisation as its Basic Concepts....Pages 23-44
Historical Development of the Idea of Self-Organisation in Information and Communication Technology....Pages 45-56
Catalogue of Criteria for Autonomous Control in Logistics....Pages 57-72
Business Process Modelling of Autonomously Controlled Production Systems....Pages 73-83
Strategic Decisions for Autonomous Logistics Systems....Pages 85-101
Autonomous Units: Basic Concepts and Semantic Foundation....Pages 103-120
Mathematical Models of Autonomous Logistic Processes....Pages 121-138
Autonomous Decision Model Adaptation and the Vehicle Routing Problem with Time Windows and Uncertain Demand....Pages 139-161
Approaches to Methods of Autonomous Cooperation and Control for the Management-, Information- and Communication-Layer of Logistics....Pages 163-167
Self-Organization in Management Science....Pages 169-192
Autonomous Cooperation — A Way to Vitalize Organizations?....Pages 193-206
Self-Organization Concepts for the Information- and Communication Layer of Autonomous Logistic Processes....Pages 207-213
Distributed Knowledge Management in Dynamic Environments....Pages 215-231
Proactive Knowledge-Based Risk Management....Pages 233-254
Autonomy in Software Systems....Pages 255-273
Specifying Adaptive Business Processes within the Production Logistics Domain — A new Modelling Concept and its Challenges....Pages 275-294
Approaches to Methods of Autonomous Cooperation and Control and Examples for the Material Flow Layer....Pages 295-301
Evaluation of Autonomous Logistic Processes — Analysis of the Influence of Structural Complexity....Pages 303-324
Autonomous Control by Means of Distributed Routing....Pages 325-335
Dynamic Transport Reference Scenarios....Pages 337-350
Autonomously Controlled Storage Allocation on an Automobile Terminal....Pages 351-363
Intelligent Containers and Sensor Networks Approaches to apply Autonomous Cooperation on Systems with limited Resources....Pages 365-392
Transport Scenario for the Intelligent Container....Pages 393-404
Back Matter....Pages 405-417
Autonomous co-operation addresses the control problem of logistic processes characterized by dynamical changing parameters and complex system behaviour. During control procedures erratic, non-predictable changes of parameters can occur. Therefore, future planning and control has to face severe and vital uncertainties. Conventional hierarchical systems are amplifying these difficulties because of the additional time delay of information transfer and additional calculation time. On the other hand, autonomous co-operation enables logistic objects (e.g. a single container) in decentralized structures to collect and evaluate information simultaneously to any event of change, so that they can render and execute decisions on their own. Therefore, this book aims to give a profound understanding of autonomous co-operation and to examine its potentials to increase the robustness and positive emergence of logistic processes substantially.
Content:
Front Matter....Pages I-XXVIII
Changing Paradigms in Logistics — Understanding the Shift from Conventional Control to Autonomous Cooperation and Control....Pages 1-16
Perspectives on Initial Ideas and Conceptual Components of Autonomous Cooperation and Control....Pages 17-22
Prologue to Autonomous Cooperation — the Idea of Self-Organisation as its Basic Concepts....Pages 23-44
Historical Development of the Idea of Self-Organisation in Information and Communication Technology....Pages 45-56
Catalogue of Criteria for Autonomous Control in Logistics....Pages 57-72
Business Process Modelling of Autonomously Controlled Production Systems....Pages 73-83
Strategic Decisions for Autonomous Logistics Systems....Pages 85-101
Autonomous Units: Basic Concepts and Semantic Foundation....Pages 103-120
Mathematical Models of Autonomous Logistic Processes....Pages 121-138
Autonomous Decision Model Adaptation and the Vehicle Routing Problem with Time Windows and Uncertain Demand....Pages 139-161
Approaches to Methods of Autonomous Cooperation and Control for the Management-, Information- and Communication-Layer of Logistics....Pages 163-167
Self-Organization in Management Science....Pages 169-192
Autonomous Cooperation — A Way to Vitalize Organizations?....Pages 193-206
Self-Organization Concepts for the Information- and Communication Layer of Autonomous Logistic Processes....Pages 207-213
Distributed Knowledge Management in Dynamic Environments....Pages 215-231
Proactive Knowledge-Based Risk Management....Pages 233-254
Autonomy in Software Systems....Pages 255-273
Specifying Adaptive Business Processes within the Production Logistics Domain — A new Modelling Concept and its Challenges....Pages 275-294
Approaches to Methods of Autonomous Cooperation and Control and Examples for the Material Flow Layer....Pages 295-301
Evaluation of Autonomous Logistic Processes — Analysis of the Influence of Structural Complexity....Pages 303-324
Autonomous Control by Means of Distributed Routing....Pages 325-335
Dynamic Transport Reference Scenarios....Pages 337-350
Autonomously Controlled Storage Allocation on an Automobile Terminal....Pages 351-363
Intelligent Containers and Sensor Networks Approaches to apply Autonomous Cooperation on Systems with limited Resources....Pages 365-392
Transport Scenario for the Intelligent Container....Pages 393-404
Back Matter....Pages 405-417
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