Hülsmann / Windt Understanding Autonomous Cooperation and Control in Logistics

The Impact of Autonomy on Management, Information, Communication and Material Flow
1. Auflage 2007
ISBN: 978-3-540-47450-0
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 417 Seiten

One of the great challenges in flexible production and supply chains is the availability of necessary information at any time and place. Autonomous logistics processes can bring about fast and flexible adaptations to change. This book identifies autonomous logistics processes and details how they differ from conventionally managed processes. Coverage also describes the changes that autonomy will cause in order processing.

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.

Autoren/Hrsg.

Windt, Katja

Hülsmann, Michael

Inhaltsverzeichnis

1;Preface;5
2;Contents;9
3;Preface;5
4;Contents;9
5;Associated Editors;16
6;Authors;20
7;1 Changing Paradigms in Logistics – Understanding the Shift from Conventional Control to Autonomous Cooperation and Control;26
7.1;1.1 Introduction;26
7.2;1.2 Drivers and enablers of autonomous cooperation and control in logistic processes;27
7.3;1.3 Autonomous cooperation and control – a general understanding;32
7.4;1.4 Aims of the edited volume;36
7.5;1.5 Structure of the edited volume;37
8;2 Fundamental Basics and Concepts of Autonomous Control and Cooperation;42
8.1;2.1 Perspectives on Initial Ideas and Conceptual Components of Autonomous Cooperation and Control;42
8.2;2.2 Prologue to Autonomous Cooperation – the Idea of Self- Organisation as its Basic Concepts;48
8.3;2.3 Historical Development of the Idea of Self- Organisation in Information and Communication Technology;70
8.4;2.4 Catalogue of Criteria for Autonomous Control in Logistics;82
8.5;2.5 Business Process Modelling of Autonomously Controlled Production Systems;98
8.6;2.6 Strategic Decisions for Autonomous Logistics Systems;109
8.7;2.7 Autonomous Units: Basic Concepts and Semantic Foundation;126
8.8;2.8 Mathematical Models of Autonomous Logistic Processes;144
8.9;2.9 Autonomous Decision Model Adaptation and the Vehicle Routing Problem with Time Windows and Uncertain Demand;162
9;3 Autonomous Control Methods for the Managment, Information and Communication Layer;185
9.1;3.1 Approaches to Methods of Autonomous Cooperation and Control for the Management-, Information- and Communication- Layer of Logistics;185
9.2;3.2 Self-Organization in Management Science;190
9.3;3.3 Autonomous Cooperation – A Way to Vitalize Organizations?;214
9.4;3.4 Self-Organization Concepts for the Information- and Communication Layer of Autonomous Logistic Processes;228
9.5;3.5 Distributed Knowledge Management in Dynamic Environments;235
9.6;3.6 Proactive Knowledge-Based Risk Management;252
9.7;3.7 Autonomy in Software Systems;274
9.8;3.8 Specifying Adaptive Business Processes within the Production Logistics Domain – A new Modelling Concept and its Challenges;293
10;4 Autonomous Control Methods and Examples for the Material Flow Layer;313
10.1;4.1 Approaches to Methods of Autonomous Cooperation and Control and Examples for the Material Flow Layer;313
10.2;4.2 Evaluation of Autonomous Logistic Processes – Analysis of the Influence of Structural Complexity;320
10.3;4.3 Autonomous Control by Means of Distributed Routing;342
10.4;4.4 Dynamic Transport Reference Scenarios;353
10.5;4.5 Autonomously Controlled Storage Allocation on an Automobile Terminal;367
10.6;4.6 Intelligent Containers and Sensor Networks Approaches to apply Autonomous Cooperation on Systems with limited Resources;380
10.7;4.7 Transport Scenario for the Intelligent Container;408
11;Index;420