Autonomous Systems in Intralogistics – State of the Art and Future Research Challenges

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Johannes Fottner - , Technische Universität München (Autor:in)
  • Dana Clauer - , Technische Universität München (Autor:in)
  • Fabian Hormes - , Technische Universität München (Autor:in)
  • Michael Freitag - , Universität Bremen (Autor:in)
  • Thies Beinke - , Universität Bremen (Autor:in)
  • Ludger Overmeyer - , Leibniz Universität Hannover (LUH) (Autor:in)
  • Simon Nicolas Gottwald - , Leibniz Universität Hannover (LUH) (Autor:in)
  • Ralf Elbert - , Technische Universität Darmstadt (Autor:in)
  • Tessa Sarnow - , Technische Universität Darmstadt (Autor:in)
  • Thorsten Schmidt - , Professur für Technische Logistik (Autor:in)
  • Karl-Benedikt Reith - , Professur für Technische Logistik (Autor:in)
  • Hartmut Zadek - , Otto-von-Guericke-Universität Magdeburg (Autor:in)
  • Franziska Thomas - , Otto-von-Guericke-Universität Magdeburg (Autor:in)

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.

Details

OriginalspracheEnglisch
Aufsatznummer2
Seitenumfang41
FachzeitschriftLogistics Research
Jahrgang14
Ausgabenummer1
PublikationsstatusVeröffentlicht - 10 Feb. 2021
Peer-Review-StatusJa

Externe IDs

ORCID /0000-0002-1484-7187/work/142243094
Scopus 85102209049

Schlagworte

Schlagwörter

  • classification framework, intralogistics, logistics, autonomous systems, decentralization, mobile robotics