Understanding Autonomous Cooperation and Control in Logistics

Changing Paradigms in Logistics — Understanding the Shift from Conventional Control to Autonomous Cooperation and Control.- Changing Paradigms in Logistics — Understanding the Shift from Conventional Control to Autonomous Cooperation and Control.- Fundamental Basics and Concepts of Autonomous Control and Cooperation.- Perspectives on Initial Ideas and Conceptual Components of Autonomous Cooperation and Control.- Prologue to Autonomous Cooperation — the Idea of Self-Organisation as its Basic Concepts.- Historical Development of the Idea of Self-Organisation in Information and Communication Technology.- Catalogue of Criteria for Autonomous Control in Logistics.- Business Process Modelling of Autonomously Controlled Production Systems.- Strategic Decisions for Autonomous Logistics Systems.- Autonomous Units: Basic Concepts and Semantic Foundation.- Mathematical Models of Autonomous Logistic Processes.- Autonomous Decision Model Adaptation and the Vehicle Routing Problem with Time Windows and Uncertain Demand.- Autonomous Control Methods for the Managment, Information and Communication Layer.- Approaches to Methods of Autonomous Cooperation and Control for the Management-, Information- and Communication-Layer of Logistics.- Self-Organization in Management Science.- Autonomous Cooperation — A Way to Vitalize Organizations?.- Self-Organization Concepts for the Information- and Communication Layer of Autonomous Logistic Processes.- Distributed Knowledge Management in Dynamic Environments.- Proactive Knowledge-Based Risk Management.- Autonomy in Software Systems.- Specifying Adaptive Business Processes within the Production Logistics Domain — A new Modelling Concept and its Challenges.- Autonomous Control Methods and Examples for the Material Flow Layer.- Approaches to Methods of Autonomous Cooperation and Control and Examples for the Material Flow Layer.- Evaluation of Autonomous Logistic Processes — Analysis of the Influence of Structural Complexity.- Autonomous Control by Means of Distributed Routing.- Dynamic Transport Reference Scenarios.- Autonomously Controlled Storage Allocation on an Automobile Terminal.- Intelligent Containers and Sensor Networks Approaches to apply Autonomous Cooperation on Systems with limited Resources.- Transport Scenario for the Intelligent Container.