Use of Smart 3d Printing Technology in Conventional Engineering Production to Detect and Prevent the Occurrence of Defects

Šproch, Filip; Nevima, Jan

doi:10.17973/mmsj.2021_12_2021115

Cited by 5 publications

(6 citation statements)

References 5 publications

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“…1 lists the most common human errors with examples of situations they can cause. The Poka-Yoke methodology tries to prevent the given errors and eliminate them thanks to simple modifications in the process or its preparations [10]. The Poka-Yoke methodology can best be understood through examples.…”

Section: Poka-yokementioning

confidence: 99%

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Application of Lean Manufacturing Methods in the Production of Ultrasonic Sensor

2022

Teh. vjesn.

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The paper deals with the use of lean manufacturing methods for ultrasonic sensors production optimization. The company where this case study was applied is part of a group that is one of the most important suppliers in the automotive industry. It is necessary for companies to constantly improve and innovate their production environment to remain competitive in the market. The current car manufacturers' demands include the pressure to increase production efficiency which can be achieved by implementing lean management. Production processes are never perfect and need to be improved and optimized to achieve the ideal state. The optimization focuses on the part of the sensor production line where the cap and seal are fitted. The ultrasonic sensor is used for measuring the oil level and temperature in a narrow area. The case study aims to optimize the fitting process problem and the resulting product of this process because it does not meet the quality requirements.

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Section: Poka-yokementioning

confidence: 99%

“…Sockets are designed to be plugged in one direction only. Similarly, electrical wiring uses colour differentiation to prevent possible errors [8,10].…”

Section: Poka-yokementioning

confidence: 99%

Application of Lean Manufacturing Methods in the Production of Ultrasonic Sensor

2022

Teh. vjesn.

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“…The ultimate goal of their project is to understand whether the internal components of a finished and hermetically sealed product have been assembled correctly. In [17], the usefulness brought by a commercial 3D printer in the quality control area is explored, following the Poka Yoke spirit. It underlines the capability of 3D printers of producing highly customised, cheap tools that are useful for quality checks if combined with the Poka Yoke methodology.…”

Section: Quality Controlmentioning

confidence: 99%

Poka Yoke Meets Deep Learning: A Proof of Concept for an Assembly Line Application

2022

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In this paper, we present the re-engineering process of an assembly line that features speed reducers and multipliers for agricultural applications. The “as-is” line was highly inefficient due to several issues, including the age of the machines, a non-optimal arrangement of the shop floor, and the absence of process standards. The assembly line issues were analysed with Lean Manufacturing tools, identifying irregularities and operations that require effort (Mura), overload (Muri), and waste (Muda). The definition of the “to-be” line included actions to update the department layout, modify the assembly process, and design the line feeding system in compliance with the concepts of Golden Zone (i.e., the horizontal space more ergonomically and easily accessible by the operator) and Strike Zone (i.e., the vertical workspace setup in accordance to ergonomics specifications). The re-engineering process identified a critical problem in the incorrect assembly of the oil seals, mainly caused by the difficulty in visually identifying the correct side of the component, due to different reasons. Convolutional neural networks were used to address this issue. The proposed solution resulted to be a Poka Yoke. The whole re-engineering process induced a productivity increase that is estimated from 46% to 80%. The study demonstrates how Lean Manufacturing tools together with deep learning technologies can be effective in the development of smart manufacturing lines.

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“…In tube production, which is discussed further in the paper, the operations of forming, pressing, and heat treatment are in the production process [20,21]. Improving manufacturing processes and procedures is a goal of all manufacturing companies and includes lean manufacturing principles, the use of dynamic simulation, and 3D technology as a tool for process improvement [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Non-Conforming Production in an Engineering Company

2024

Teh. vjesn.

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In practice, there is a very often inaccurate recording of nonconforming production, resulting in waste and increasing wastefulness. This has a direct impact on the efficiency and profitability of production. This article deals with the analysis of non-conforming production in terms of the development of retained units for evaluation by the quality department and in terms of the development of scrap in a company involved in the production of tubes for the automotive and energy industries. The bottlenecks in the production process have been investigated and analysed, and the necessary measures have subsequently been determined. A new perspective on the issue of mismatched production was obtained, and new solutions were found that helped the company improve the efficiency of its production processes and thus increase its competitiveness. The analyses of non-conforming production presented in the paper are applicable in many enterprises. When the efficiency of production is increased, unnecessary losses are avoided. This will satisfy the philosophy of lean manufacturing, which aims to produce products in the shortest possible time with minimal cost.

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Use of Smart 3d Printing Technology in Conventional Engineering Production to Detect and Prevent the Occurrence of Defects

Cited by 5 publications

References 5 publications

Application of Lean Manufacturing Methods in the Production of Ultrasonic Sensor

Application of Lean Manufacturing Methods in the Production of Ultrasonic Sensor

Poka Yoke Meets Deep Learning: A Proof of Concept for an Assembly Line Application

Analysis of Non-Conforming Production in an Engineering Company

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