A case study of conducting a proof of concept for machine learning and deep learning aimed at automating device settings!
The challenges faced by manufacturers of testing equipment for various products are that the setup of the equipment is heavily dependent on highly skilled technicians, making technical succession difficult. Furthermore, the setup work for the equipment requires adjustments at the micron level, and many failure patterns rely on the intuition of the technicians, making documentation extremely challenging. To determine specific initiatives to address these challenges, we identified potential issues in advance and conducted a proof of concept (POC) for automation of equipment setup using machine learning and deep learning. Through repeated trial and error, we succeeded in gradually achieving results toward automation. [Case Overview (Partial)] ■ Client Industry: Electronics ■ Service Line: Technology / AI & Analytics *For more details, please refer to the PDF document or feel free to contact us.
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【Summary of Other Cases】 <Challenges Faced by the Customer> ■ The device settings have become highly dependent on skilled technicians, making technical succession difficult. ■ A situation where a setting task that can be completed in a few minutes by an experienced technician takes a whole day to finish poses a significant risk to management. ■ The setting tasks require adjustments at the micron level, and many failure patterns rely on the intuition of technicians, making documentation extremely challenging. ■ The quality of settings also depends on the technician, leading to variations in quality levels among individuals, making the standardization and assurance of quality criteria an urgent issue. <Support Provided and Results> ■ Identified potential issues in advance and conducted a proof of concept (POC) for automating device settings using machine learning and deep learning. ■ Successfully achieved incremental results toward automation through repeated trial and error. *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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GienTech Japan is a member of the Pactera Group, which has numerous locations globally and provides digital consulting and technology services to clients. Leveraging its accumulation of cutting-edge technology, it strongly promotes system construction that is organically combined with a hybrid application development system for clients across various industries, from finance to manufacturing and telecommunications. Currently, the Asia-Pacific region is a strategically important area for the group, and it is focusing on investing in and strengthening digital development, IoT solutions, and Fintech in that region. Additionally, GienTech offers various products and solutions to improve the operations of those in the manufacturing industry, as well as outsourced development services provided by professionals well-versed in manufacturing.
