Autonomous systems in intralogistics: State of the art and future research challenges

Autonomous systems in intralogistics: State of the art and future research challenges

The paper at hand presents a definition of autonomous intralogistics systems and a classification of intralogistics systems with regard to their degree of autonomy. Intralogistics -; a complex interplay of different logistics functions - covers the organization, control, execution and optimization o...

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Bibliographic Details
Published in:Logistics research Vol. 14; no. 1; pp. 1 - 41
Main Authors: Fottner, Johannes, Clauer, Dana, Hormes, F, Freitag, Michael, Beinke, T, Overmeyer, Ludger, Gottwald, S. N, Elbert, Ralf, Sarnow, T, Schmidt, Thorsten, Reith, K.-B, Zadek, Hartmut, Thomas, F
Format: Journal Article
Language:English
Published: Bremen Bundesvereinigung Logistik (BVL) 01-12-2021
Subjects:
Automation
autonomous systems
Autonomy
Classification
classification framework
Complexity
Cooperation
decentralization
Information flow
Information processing
intralogistics
Logistics
Materials handling
mobile robotics
Operations management
Optimization
Order picking
Supply chains
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Summary:The paper at hand presents a definition of autonomous intralogistics systems and a classification of intralogistics systems with regard to their degree of autonomy. Intralogistics -; a complex interplay of different logistics functions - covers the organization, control, execution and optimization of internal material and information flows. Over the past two decades, numerous authors have observed and proclaimed an increase in complexity in manufacturing and supply chain operations. A key approach to face this challenge is a paradigm shift from centralized, hierarchical organization structures towards, networked and autonomous systems. Autonomous intralogistics systems enable self-contained, decentralized planning, execution, control, and optimization of internal material and information flows through cooperation and interaction with other systems and with humans.Based on the definition of autonomous intralogistics systems, the authors propose a two-dimensional classification framework covering different automation stages for different intralogistics task levels. The developed classification framework is applied to various industry use cases to evaluate and discuss the state of the art regarding the implementation of autonomous intralogistics systems. Finally, the paper provides an outlook on future research and poses key research questions.
ISSN:1865-0368
1865-035X
1865-0368
DOI:10.23773/2021_2