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A Guideline for the Development of Automated Forklifts in a Warehousing Environment: A mixed-method Approach Based on Design Science Research and Qualitative Methods
2025 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In today's dynamic digitalized society, all types of different companies, organizations and institutions are striving to be more efficient and automated. Autonomous forklifts, also known as Automated Guided Vehicles (AGVs), are taking over several different industries and are being used increasingly in warehouse environments. This research aims to investigate what safety criteria are in the design guidelines for developing of autonomous forklift, also known as an autonomous guided vehicle that operates in indoor warehouse environments. Thereby, this investigation aims to create a guideline for the development of autonomous forklifts and AGVs that can ensure some safety for humans and goods in those environments where they operate. The research methodology approach has been a mixture of design science research and quantitative methods. First a literature review and a theoretical framework were established that resulted in an established guideline for the development of these autonomous forklifts. Seven respondents participated in interviews for evaluation of the established guidelines. With the collected data from the interviews, the guideline was improved a second and final artifact was developed: Guideline for the development of autonomous forklift 2.0. The analysis of the responses gathered in the interviews sheds light on possible challenges and practical challenges of developmentline that were proposed. Clearly, respondents recommended the importance of fail-safe mechanisms, real-time data processing, and advanced sensor technology to improve efficiency and sensor factors. The conclusion that can be drawn from this research is that there are several safety criteria for the development of autonomous forklifts but that they are for the most all connected to each other or the AGVs information system.

Place, publisher, year, edition, pages
2025.
Keywords [en]
autonomous forklift, Automated Guided Vehicle, indoor warehouse
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hb:diva-33958OAI: oai:DiVA.org:hb-33958DiVA, id: diva2:1980679
Subject / course
Informatics
Available from: 2025-07-03 Created: 2025-07-02 Last updated: 2025-07-03Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf