最後更新：2026.06.22
Founded in 1964, Kinik Company is located in Yingge, a town in Taiwan renowned as the home of ceramics. With a history of nearly half a century, it is a specialized manufacturer of grinding wheels and a leader in its industry. In recent years, recognizing the need for traditional industries to transform, Kinik has continuously invested in equipment and manpower, engaging in the research, development, and innovation of derivative diamond products and undertaking enterprise reinvention, while also expanding into the high-tech wafer reclaim industry. This has allowed Kinik to break free from the fate of traditional industries and rise to become a member of the high-tech industry. Targeting the tools used in high-tech industries, and using synthetic diamond (including polycrystalline diamond, diamond film, and thick diamond film), the products Kinik has developed not only help customers extend the service life of their workpieces and improve machining quality, but also reduce the consumption of the Earth’s resources. For this reason, we proudly named them “Green Diamond.”
Kinik Company and the MiDFUN-SPC Statistical Process Control System
Kinik adopted MiDFUN’s SPC system in 2002. At first it was not used in depth, mainly serving to produce quality control reports for customer requirements. In 2011, relevant high-tech customers required that every diamond grinding wheel achieve a complete product traceability record. The information and R&D departments sought out relevant solutions externally, with vendor quotes ranging from NT$5 million to NT$20 million. Later, when the quality control manager raised this difficulty during a routine MiDFUN plant visit, it suddenly became apparent that MiDFUN’s SPC-PLUS software package could already solve the difficulty troubling the company, with a deployment cost of only one-third of the original estimate, and with no need to change existing usage habits or staff training. The company therefore deployed and expanded the MiDFUN SPC-PLUS system, and in 2012 further decided to entrust the automation of measurement equipment to MiDFUN for unified deployment, progressively automating from vernier calipers to the KEYENCE VM series and even optical inspection machines. The cross-site, multi-database search function further earned the company recognition of its quality from customer TSXC, enhancing its competitiveness and driving up its stock price.
Thanks to the successful experience of deploying the MiDFUN system, the subsequently expanded Shulin plant also followed suit and deployed the MiDFUN SPC system. In the second half of 2017, in response to customer requirements, the original shipping system (in which customers select products of certain specifications) was improved and merged into the MiDFUN SPC-PLUS project, integrating inspection data with the shipping system to keep the data consistent. This further allowed Kinik to accurately grasp which specifications remained in stock, avoiding situations where there was stock in the warehouse but the goods the customer wanted were out of stock, which would cause the double loss of both finances and reputation. This part of the project went live in 2020 and is planned to be optimized and upgraded in 2023 into an intelligent system that predicts customer demand.
Kinik Company and the MiDFUN-AIQ Production Inspection Engineering Analysis and Numerical Monitoring System
Kinik began adopting the MiDFUN WD (now renamed AIQ) Production Inspection Engineering Analysis and Numerical Monitoring System in 2016. Before deploying the MiDFUN system, the original system connecting the process parameters of production equipment provided only numerical values and often collected garbled data corrupted by interference. After careful consideration, the company gradually transferred this system to MiDFUN, a long-term partner with a stable system. After the AIQ system was deployed, it was first tested at the new Shulin plant, with deployment at selected stations of the old Yingge plant. After gradually resolving problems, collecting data, and filtering data, gold gradually emerged from the sand. Furthermore, through data extraction and big data analysis techniques, the key patterns of variation in process parameters were produced via graphical changes. In addition to refining product quality, this also won the recognition and praise of major customers, and in 2017 and 2018 the deployment was expanded to comprehensive process-wide use.
From 2020 through 2023, building on the foundation of their previous cooperation, the two parties will use the AIQ system to integrate variations in the process parameters of on-site production equipment, entering the Industry 4.0 era. This allows semiconductor suppliers, under a more reasonable budget, to effectively combine and intelligently apply the upstream P (process parameters) -> Q (quality results). This is an innovative attempt to apply intelligent engineering mathematics and statistics to Industry 4.0 in manufacturing. We hope everyone will work together to increase Taiwan’s competitiveness.
