Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Poka Yoke in Smart Production Systems with Pick to Light Implementation to Increase Efficiency: A Study

Version 1 : Received: 24 May 2023 / Approved: 26 May 2023 / Online: 26 May 2023 (03:43:43 CEST)

How to cite: Trojanowska, J.; Husár, J.; Hrehová, S.; Knapcikova, L. Poka Yoke in Smart Production Systems with Pick to Light Implementation to Increase Efficiency: A Study. Preprints 2023, 2023051829. https://doi.org/10.20944/preprints202305.1829.v1 Trojanowska, J.; Husár, J.; Hrehová, S.; Knapcikova, L. Poka Yoke in Smart Production Systems with Pick to Light Implementation to Increase Efficiency: A Study. Preprints 2023, 2023051829. https://doi.org/10.20944/preprints202305.1829.v1

Abstract

Product assembly is usually one of the last steps in the entire production process. This activity is typically entrusted to assembly workers because it is generally not possible to automate every type of product. For complex products, assembly can take a long time until the fitter learns the procedure and is able to assemble the product on his own. This contribution presents a cus-tom-developed system that enables controlled assembly of the extruder and can be used for complex and diverse products. The system serves to guide the fitter precisely and shows him which part to use at which time. The proposed system will show and describe on the display all necessary assembly steps and parts. Two-step verification is used to ensure that the correct part is picked from the stack. The contribution is supported by the implementation of a case study in a small company with a sample of 30 employees, which demonstrates that the proposed system shortens the extruder assembly time and significantly reduces the error rate. The presented solution is scalable and flexible, as it can be easily adapted to display the assembly steps of another product.

Keywords

Poka Yoke; Pick to Lights; architecture; effectiveness; industrial engineering

Subject

Engineering, Industrial and Manufacturing Engineering

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