Analysis of quality control efficiency in the automotive industry

Pacana, Andrzej; Czerwińska, Karolina; Dwornicka, Renata

doi:10.1016/j.trpro.2021.07.037

Cited by 15 publications

(14 citation statements)

References 15 publications

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“…The second stage is measuring which problems have critical to quality (CTQ) criteria, one of which is by using Pareto charts and control charts (Pacana et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Implementation of DMAIC for Production Quality Control: Case Study of Power Supply Production in Indonesia

Purwojatmiko,

Ambarwati

2023

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The level of competition in the manufacturing industry is getting tougher, making companies must be able to provide the best service to customers. One of the companies in Indonesia engaged in asset monitoring and ship navigation systems, has a production division that produces power supply products. Based on the analysis that has been carried out at the company that there are problems such as a damaged PCB connector that makes the product categorized as a manufacturing defect. This research aims to be able to find alternative improvements to production processes that have a high defect rate. The Define, Measure, Analyze, Improve, and Control (DMAIC) framework is used as a method to shape the mindset of management and employees to be able to solve these problems. Based on this framework, three causes of the problem were found, namely human factors, materials, and inappropriate methods during the production process. Therefore, appropriate corrective actions are taken, and a control process is carried out by comparing control charts, Defects Per Million Opportunities (DPMO) and sigma levels to determine the impact of changes from the improvements made. Quantitatively, there was an increase in the DPMO value of 39.47% and an increase in the sigma level of 8.64%. This shows that the DMAIC framework can provide the right solutions and preventing the same quality problems from happening again.

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“…The second stage is measuring which problems have critical to quality (CTQ) criteria, one of which is by using Pareto charts and control charts (Pacana et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Implementation of DMAIC for Production Quality Control: Case Study of Power Supply Production in Indonesia

Purwojatmiko,

Ambarwati

2023

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“…The intricate nature of manufacturing processes involving diverse components and the critical safety implications of the final product underscores the indispensable role of QC within the industry. Swift and precise quality inspections not only have a profound impact on an organization's financial well-being but also have a significant influence on the broader trajectory of the industry [4].…”

Section: Introductionmentioning

confidence: 99%

Validating the Use of Smart Glasses in Industrial Quality Control: A Case Study

Silva,

Coelho,

Saraiva

et al. 2024

Applied Sciences

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Effective quality control is crucial in industrial manufacturing for influencing efficiency, product dependability, and customer contentment. In the constantly changing landscape of industrial production, conventional inspection methods may fall short, prompting the need for inventive approaches to enhance precision and productivity. In this study, we investigate the application of smart glasses for real-time quality inspection during assembly processes. Our key innovation involves combining smart glasses’ video feed with a server-based image recognition system, utilizing the advanced YOLOv8 model for accurate object detection. This integration seamlessly merges mixed reality (MR) with cutting-edge computer vision algorithms, offering immediate visual feedback and significantly enhancing defect detection in terms of both speed and accuracy. Carried out in a controlled environment, our research provides a thorough evaluation of the system’s functionality and identifies potential improvements. The findings highlight that MR significantly elevates the efficiency and reliability of traditional inspection methods. The synergy of MR and computer vision opens doors for future advancements in industrial quality control, paving the way for more streamlined and dependable manufacturing ecosystems.

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“…By modifying the surface layer morphology, significant advancements can be made in reducing wear and tear on machine parts [24][25][26]. Additionally, this technique has the potential to enhance the quality of products in the automotive industry [27,28] and railway sector [29,30], which, in turn, can inspire the development of new quality control methods [31][32][33] implemented in both the automotive [34,35] and metal industries [36,37]. Implementing these quality enhancements has a significant impact on minimizing potential failure scenarios and their associated consequences [38][39][40], allowing for the effective implementation of lean manufacturing principles [41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Operational Properties of Heterogeneous Surfaces

RADEK

2023

Quality Production Improvement and System Safety

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Abstract. The paper is concerned with testing Cu-Mo coatings deposited over carbon steel C45, which were then eroded with a laser beam. A combination of electro-spark deposition (ESD) process and laser treatment has been developed, and tested, and improvement of certain surface properties has been demonstrated. The analysis involved measuring the macrogeometry, microhardness roughness and corrosion resistance of selected areas after laser treatment. The coatings were deposited by means of the ELFA-541 and they were laser treated with the Nd:YAG, the laser parameters being variable. The properties of heterogeneous surfaces, based on laser treated ESD, are largely dependent upon material combination systems, manipulating methods, ESD and laser parameters as well as process control.

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Analysis of quality control efficiency in the automotive industry

Cited by 15 publications

References 15 publications

Implementation of DMAIC for Production Quality Control: Case Study of Power Supply Production in Indonesia

Implementation of DMAIC for Production Quality Control: Case Study of Power Supply Production in Indonesia

Validating the Use of Smart Glasses in Industrial Quality Control: A Case Study

Operational Properties of Heterogeneous Surfaces

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