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Dynamics in Logistics

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Manufacturing and logistic service companies are increasingly confronted with high dynamics and complexity. Due to its particular suitability
for short-term and situation-dependent decision-making, autonomous control can
improve planning and control of production and related transportation processes.
This chapter gives an overview of the research that the BIBA—Bremer Institut
für Produktion und Logistik GmbH has performed over the past years in the field
of autonomously controlled production and transportation networks. The chapter
focuses on the modeling approaches and the autonomous control methods that have
been developed. These methods have been evaluated using both theoretical and realworld scenarios. The results show the applicability and suitability of autonomous
control in complex and dynamic production and transportation environments. In
addition, influences on the methods’ performance and the integration of autonomous
control into conventional planning and control systems are discussed. Finally, the
chapter looks at the significance of autonomous control in the context of Industry
4.0 and shows the relations between both concepts

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Detail Information

Series Title

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Call Number

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Publisher

Bremen, Germany : Springer Cham., 2021

Collation

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Language

English

ISBN/ISSN

9783030886622

Classification

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Content Type

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Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Dynamics
Logistics

Specific Detail Info

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Statement of Responsibility

Michael Freitag, Herbert Kotzab, Nicole Megow

Other Information

Cataloger

angga

Source

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Validator

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Digital Object Identifier (DOI)

https://link.springer.com/book/10.1007/978-3-030-88662-2

Journal Volume

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Journal Issue

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Parallel Title

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