The LogiLegoLab: A Problem-based Learning Approach for Higher Education Institutions

Jakob Kompatscher, Corina Pacher, Manuel Woschank

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Industry 4.0 concepts and technologies offer a multitude of possibilities for the systematic improvement of material and information flow processes in logistics systems. However, the usage of laboratories for the experimental testing and subsequent further development of Industry 4.0 approaches in industrial logistics still can be considered as an underdeveloped subject area in higher education institutions. Based on a problem-based learning approach, this paper investigates the recent literature on teaching and learning laboratories in the context of Industry 4.0 to identify the potential areas of action for an industrial logistics laboratory in the fields of research, academic teaching, and industry-related applications. Moreover, the authors develop a new concept for a module-based laboratory and derive implications for further research and industrial projects.

Original languageEnglish
Title of host publicationProceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021
Pages1834-1844
Number of pages11
Publication statusPublished - 9 Mar 2021
Externally publishedYes
Event11th Annual International Conference on Industrial Engineering and Operations Management: IEOM 2021 - Virtual, Online
Duration: 7 Mar 202111 Mar 2021

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Conference

Conference11th Annual International Conference on Industrial Engineering and Operations Management
CityVirtual, Online
Period7/03/2111/03/21

Keywords

  • Higher Education
  • Industry 4.0
  • Laboratory
  • Labs
  • Logistics 4.0
  • Problem-based Learning
  • Smart Logistics
  • Teaching and Learning Methods

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Strategy and Management
  • Management Science and Operations Research

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