Understanding Autonomous Cooperation and Control in Logistics - The Impact of Autonomy on Management, Information, Communication and Material Flow

Preface

Contents

Preface

Contents

Associated Editors

Authors

1 Changing Paradigms in Logistics – Understanding the Shift from Conventional Control to Autonomous Cooperation and Control

1.1 Introduction

1.2 Drivers and enablers of autonomous cooperation and control in logistic processes

1.3 Autonomous cooperation and control – a general understanding

1.4 Aims of the edited volume

1.5 Structure of the edited volume

2 Fundamental Basics and Concepts of Autonomous Control and Cooperation

2.1 Perspectives on Initial Ideas and Conceptual Components of Autonomous Cooperation and Control

2.2 Prologue to Autonomous Cooperation – the Idea of Self- Organisation as its Basic Concepts

2.3 Historical Development of the Idea of Self- Organisation in Information and Communication Technology

2.4 Catalogue of Criteria for Autonomous Control in Logistics

2.5 Business Process Modelling of Autonomously Controlled Production Systems

2.6 Strategic Decisions for Autonomous Logistics Systems

2.7 Autonomous Units: Basic Concepts and Semantic Foundation

2.8 Mathematical Models of Autonomous Logistic Processes

2.9 Autonomous Decision Model Adaptation and the Vehicle Routing Problem with Time Windows and Uncertain Demand

3 Autonomous Control Methods for the Managment, Information and Communication Layer

3.1 Approaches to Methods of Autonomous Cooperation and Control for the Management-, Information- and Communication- Layer of Logistics

3.2 Self-Organization in Management Science

3.3 Autonomous Cooperation – A Way to Vitalize Organizations?

3.4 Self-Organization Concepts for the Information- and Communication Layer of Autonomous Logistic Processes

3.5 Distributed Knowledge Management in Dynamic Environments

3.6 Proactive Knowledge-Based Risk Management

3.7 Autonomy in Software Systems

3.8 Specifying Adaptive Business Processes within the Production Logistics Domain – A new Modelling Concept and its Challenges

4 Autonomous Control Methods and Examples for the Material Flow Layer

4.1 Approaches to Methods of Autonomous Cooperation and Control and Examples for the Material Flow Layer

4.2 Evaluation of Autonomous Logistic Processes – Analysis of the Influence of Structural Complexity

4.3 Autonomous Control by Means of Distributed Routing

4.4 Dynamic Transport Reference Scenarios

4.5 Autonomously Controlled Storage Allocation on an Automobile Terminal

4.6 Intelligent Containers and Sensor Networks Approaches to apply Autonomous Cooperation on Systems with limited Resources

4.7 Transport Scenario for the Intelligent Container

Index