Poka Yoke in Smart Production Systems with Pick-to-Light Implementation to Increase Efficiency

Abstract

Product assembly is often the last step in the manufacturing process. This task is usually performed by an assembly worker who needs to have practical experience and expertise. For complex products, the assembly may require a long time to study assembly plans. This paper presents a custom-designed Pick-to-Light system using Poka Yoke principles to make this activity easier. The created modular system with two-stage verification serves to guide the assembler precisely. It shows him on the display which parts he should use in a strictly defined assembly step. Our proposal aims to shorten assembly time and reduce the number of errors, which was supported by a case study in a small company with 30 employees. After analysing the data, we can declare that the proposed system significantly reduces the time required for assembly from 7 to 35% and reduces the error rate by 35%. The solution is scalable and flexible, as it can be easily adapted to display assembly steps for a different product.

Design and Testing of a Measurement Device for High-Speed Bearing Evaluation

“…We pressed two pieces of non-dismantlable bearings onto the shaft and these bearings are known for their ability to operate at high speeds, which is significant in various industries. One of the industries where these bearings are found is the textile industry, specifically in rotor spinning machines [25].…”

“…We pressed two pieces of non-dismantlable bearings onto the shaft and these bearings are known for their ability to operate at high speeds, which is significant in various industries. One of the industries where these bearings are found is the textile industry, specifically in rotor spinning machines [25]. Rolling bearings are a crucial component in textile machines, and their development is closely linked to finding the best ways to store and utilize the most critical components in textile machines.…”

Application of Structural Equation Modelling to Cybersecurity Risk Analysis in the Era of Industry 4.0

“…When shaping the approach to solving CS issues at the organization/state level, it is important to support a culture of cybersecurity awareness among employees and stakeholders, which is related to the ability of individuals to proactively recognize and address cybersecurity risks [40]. Based on this, it is subsequently possible to formulate and enforce security measures in accordance with cyber safety-the important concept of Industry 4.0 [35]. Regarding the above-established research questions and goals mentioned above in sub-chapter 1.1, this research is structured into three distinct methodology phases: instrument development, data collection/analysis, and factor model development.…”

“…Considering the definition of Industry 4.0 and its entire concept [35] it is clear that in connection with the implementation of Industry 4.0 and the ever-expanding IoT (associated with the digitization of industry as well as public and state administration), the risk of misuse of sensitive protected information of organizations and the state by third parties is growing. Either as part of a competitive struggle or in connection with the abuse of critical infrastructure (or its part exposure in cyberspace-critical information infrastructure and important information systems at the company/state level) as part of a hybrid war.…”