Understanding Autonomous Cooperation and Control in Logistics [electronic resource] : The Impact of Autonomy on Management, Information, Communication and Material Flow / edited by Michael Hülsmann, Katja Windt.Material type: TextLanguage: English Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: XXVIII, 417 p. 91 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540474500Other title: With contributions by numerous expertsSubject(s): Engineering | Computer simulation | Electronic commerce | Engineering economy | Business logistics | Management information systems | Engineering | Engineering Economics, Organization, Logistics, Marketing | Production/Logistics | Business Information Systems | Electronic Commerce/e-business | Simulation and ModelingAdditional physical formats: Printed edition:: No titleDDC classification: 658.5 LOC classification: TA177.4-185Online resources: Click here to access online
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.
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.