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

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

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  • 製本 Hardcover:ハードカバー版/ページ数 400 p.
  • 言語 ENG
  • 商品コード 9783540474494
  • DDC分類 670

Full Description

One of the great challenges in flexible production and supply chains is the availability of necessary information at any time and any place. As a result of increasing dynamical and structural complexity of structures and processes in production it is often impossible to make all necessary information available to a central instance in real time and to perform appropriate measures of control in terms of a defined target system. A fast and flexible adaptation to changing basic conditions ought to be achieved by establishing autonomous logistics processes.

In this context several fundamental questions concerning autonomous cooperating logistics processes were investigated:

The identification problem: What are autonomous logistics processes and how do they differ from conventionally managed processes?

The description problem: Which changes will autonomy cause in order processing?

One of the first results is a definition for the term autonomy for applications in engineering science. The constituent characteristics of this definition were considered within the development of the catalogue of criteria in order to describe autonomous logistic processes. Regarding the modelling of autonomous processes, first requirements for modelling methods were specified. To validate the research results, a production-logistic shop-floor scenario and a practical scenario based on the real business processes of an automobile terminal were developed. Simulation studies concerning autonomously controlled allocation of parking areas document comprehensive opportunities for improvement.

Contents

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.- Approachesto 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.

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