Process of Materials Picking Using Augmented Reality

Abstract

The thesis describes the research conducted on the effectiveness of purposed Augmented Reality solutions for material identification in the production system. The research was carried out at the Smart Factory laboratory of the Poznan University of Technology and was divided into two stages. In the first stage, the research has been conducted to identify both of the best variants of application and the AR smart glasses which were used in second stage. The time of identification and completion of production parts obtained using the AR technique and the traditional technique were compared during the second stage of the research. The results of the second experiment show that the AR method is efficacious for identifying materials in a production system; however, the traditional method time is shorter. This proves that the traditional method is more effective and therefore AR solutions need to be improved.

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Implementation of engineering techniques for reducing waste in Warehousing: A case study in a Peruvian Food Company

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Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers

“…In particular, motivated by the rise of Industry 4.0, numerous novel technologies were introduced in this field, such as automated guided vehicles (AGV), robots, smart tools, augmented reality (AR) and virtual reality (VR). The recent emergence of virtual technologies – VR and AR – appears to be especially promising for supporting logistics activities but is still quite unexplored (Reif and Walch, 2008; Jovanovikj and Engels, 2020; Zywicki and Bun, 2021). AR can be successfully used for improving logistics workers' efficiency thanks to visual guidance (e.g.…”

“…In particular, motivated by the rise of Industry 4.0, numerous novel technologies were introduced in this field, such as Automated Guided Vehicles (AGV), robots, smart tools, Augmented Reality (AR), and Virtual Reality (VR). The recent emergence of virtual technologies -VR and ARappears to be especially promising for supporting logistics activities, but is still quite unexplored (Reif & Walch, 2008;Zywicki & Bun, 2021). AR can be successfully used for improving logistics workers' efficiency thanks to visual guidance (e.g., during order picking), while VR can be helpful for managing remote objects in dangerous environments and for training workers (Fang et al, 2019;Matsumoto, 2019;Fang & An, 2021;Yigitbas et al, 2020;Grabowski et al, 2021).…”