Dynamics in Logistics: Twenty-Five Years of Interdisciplinary Logistics Research in Bremen, Germany

Author:   Michael Freitag ,  Herbert Kotzab ,  Nicole Megow
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030886646


Pages:   324
Publication Date:   03 December 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Dynamics in Logistics: Twenty-Five Years of Interdisciplinary Logistics Research in Bremen, Germany


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Overview

This open access book highlights the interdisciplinary aspects of logistics research. Featuring empirical, methodological, and practice-oriented articles, it addresses the modelling, planning, optimization and control of processes. Chiefly focusing on supply chains, logistics networks, production systems, and systems and facilities for material flows, the respective contributions combine research on classical supply chain management, digitalized business processes, production engineering, electrical engineering, computer science and mathematical optimization. To celebrate 25 years of interdisciplinary and collaborative research conducted at the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), in this book hand-picked experts currently or formerly affiliated with the Cluster provide retrospectives, present cutting-edge research, and outline future research directions.

Full Product Details

Author:   Michael Freitag ,  Herbert Kotzab ,  Nicole Megow
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Weight:   0.516kg
ISBN:  

9783030886646


ISBN 10:   3030886646
Pages:   324
Publication Date:   03 December 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: Models and Methods for Planning in Logistics.- Autonomous Control of Logistics Processes – A Retrospective.- Explorable Uncertainty meets Decision-Making in Logistics.- Complex Networks in Manufacturing and Logistics: A Retrospect.- Recent Developments in Mathematical Traffic Models.- Part II: Digitalization and Logistics.- Intelligent Agents for Social and Learning Logistics Systems.- Semantic Interoperability for Logistics and Beyond.- Semantic Digital Twins for Retail Logistics.- A Demand-Response System for Sustainable Manufacturing Using Linked Data and Machine Learning.- The Influence of Cognitive Biases in Production Logistics.- Part III: Fields of Application in Logistics.- Automobile Logistics 4.0 – Advances through Digitalization.- 15 Years of Intelligent Container Research.- The Rise of Ultra Large Container Vessels: Implications for Seaport Systems and Environmental Considerations.- Modeling individualized sustainable last mile logistics.- Logistics Challenges along the New Silk Roads.- Observations and Perceptions on a Doctoral Research Seminar in Engineering and Logistics.

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Author Information

Michael Freitag is a Full Professor at the Faculty of Production Engineering, University of Bremen, Germany. He is also the Director of the Bremen Institute for Production and Logistics GmbH (BIBA). His research interests include planning and control of production and logistics processes, digitalization, Industry 4.0, and the automation of material flows via robots and flexible transportation systems. Herbert Kotzab is a Full Professor at the Faculty of Business Studies and Economics, University of Bremen, Germany and an International Professor at the Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia. His research focuses on supply chain management, service operations and consumer driven value networks. Nicole Megow is a Full Professor at the Faculty of Mathematics and Computer Science, University of Bremen, Germany. Her main research interests are in mathematical optimization in theory and practice, with a particular focus on combinatorial optimization, the design of efficient algorithms, and coping with uncertainty.

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