Details
| Original language | English |
|---|---|
| Journal | Logistics Research |
| Volume | 14 |
| Issue number | 1 |
| Early online date | 4 Feb 2021 |
| Publication status | Published - 10 Feb 2021 |
Abstract
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.
Keywords
- Autonomous systems, Classification framework, Decentralization, Intralogistics, Logistics, Mobile robotics
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Business, Management and Accounting(all)
- Management Information Systems
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Computer Science Applications
- Decision Sciences(all)
- Management Science and Operations Research
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In: Logistics Research, Vol. 14, No. 1, 10.02.2021.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Autonomous systems in intralogistics-state of the art and future research challenges
AU - Fottner, J.
AU - Clauer, D.
AU - Hormes, F.
AU - Freitag, M.
AU - Beinke, T.
AU - Overmeyer, L.
AU - Gottwald, S. N.
AU - Elbert, R.
AU - Sarnow, T.
AU - Schmidt, T.
AU - Reith, K. B.
AU - Zadek, H.
AU - Thomas, F.
PY - 2021/2/10
Y1 - 2021/2/10
N2 - 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.
AB - 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.
KW - Autonomous systems
KW - Classification framework
KW - Decentralization
KW - Intralogistics
KW - Logistics
KW - Mobile robotics
UR - http://www.scopus.com/inward/record.url?scp=85102209049&partnerID=8YFLogxK
U2 - 10.23773/2021_2
DO - 10.23773/2021_2
M3 - Article
AN - SCOPUS:85102209049
VL - 14
JO - Logistics Research
JF - Logistics Research
SN - 1865-035X
IS - 1
ER -