Understanding Autonomous Cooperation and Control in Logistics (eBook)

Dr.-Ing. Katja Windt is leader of the sub-department "Intelligent Planning and Control Methods for Logistic Systems" within the Bremen Institute of Industrial Technology and Applied Work Sciences (BIBA) at the University of Bremen. She supervises one sub-project ("Process-Orientated Basic Studies for Autonomous Cooperation and Control") of the Collaborative Research Center named "Autonomous Cooperating Logistic Processes – A Paradigm Shift and its Limitations" which is supported by the German Research Foundation. In July 2004 she became member of die Junge Akademie (The Young Academie) in Germany and is elected as speaker of the plenum for a one year period in 2006/2007. In her research she focuses on planning and control methods for production and logistic systems. Prof. Dr. Michael Hülsmann is head of the unit "Management of Sustainable System Development" and academic director of the SCOUT-Institute for Strategic Competence Management in the Faculty for Business Studies and Economics at the University of Bremen. Additionally, he is member of the board of the Collaborative Research Centre 637 "Autonomous Cooperating Logistic Processes - A Paradigm Shift and its Limitations", which is supported by the German Research Foundation. In his research he focuses on strategic management and organisation theory, especially for logistics.

Preface 5
Contents 9
Preface 5
Contents 9
Associated Editors 16
Authors 20
1 Changing Paradigms in Logistics – Understanding the Shift from Conventional Control to Autonomous Cooperation and Control 26
1.1 Introduction 26
1.2 Drivers and enablers of autonomous cooperation and control in logistic processes 27
1.3 Autonomous cooperation and control – a general understanding 32
1.4 Aims of the edited volume 36
1.5 Structure of the edited volume 37
2 Fundamental Basics and Concepts of Autonomous Control and Cooperation 42
2.1 Perspectives on Initial Ideas and Conceptual Components of Autonomous Cooperation and Control 42
2.2 Prologue to Autonomous Cooperation – the Idea of Self- Organisation as its Basic Concepts 48
2.3 Historical Development of the Idea of Self- Organisation in Information and Communication Technology 70
2.4 Catalogue of Criteria for Autonomous Control in Logistics 82
2.5 Business Process Modelling of Autonomously Controlled Production Systems 98
2.6 Strategic Decisions for Autonomous Logistics Systems 109
2.7 Autonomous Units: Basic Concepts and Semantic Foundation 126
2.8 Mathematical Models of Autonomous Logistic Processes 144
2.9 Autonomous Decision Model Adaptation and the Vehicle Routing Problem with Time Windows and Uncertain Demand 162
3 Autonomous Control Methods for the Managment, Information and Communication Layer 185
3.1 Approaches to Methods of Autonomous Cooperation and Control for the Management-, Information- and Communication- Layer of Logistics 185
3.2 Self-Organization in Management Science 190
3.3 Autonomous Cooperation – A Way to Vitalize Organizations? 214
3.4 Self-Organization Concepts for the Information- and Communication Layer of Autonomous Logistic Processes 228
3.5 Distributed Knowledge Management in Dynamic Environments 235
3.6 Proactive Knowledge-Based Risk Management 252
3.7 Autonomy in Software Systems 274
3.8 Specifying Adaptive Business Processes within the Production Logistics Domain – A new Modelling Concept and its Challenges 293
4 Autonomous Control Methods and Examples for the Material Flow Layer 313
4.1 Approaches to Methods of Autonomous Cooperation and Control and Examples for the Material Flow Layer 313
4.2 Evaluation of Autonomous Logistic Processes – Analysis of the Influence of Structural Complexity 320
4.3 Autonomous Control by Means of Distributed Routing 342
4.4 Dynamic Transport Reference Scenarios 353
4.5 Autonomously Controlled Storage Allocation on an Automobile Terminal 367
4.6 Intelligent Containers and Sensor Networks Approaches to apply Autonomous Cooperation on Systems with limited Resources 380
4.7 Transport Scenario for the Intelligent Container 408
Index 420