Preventing raw material weighing errors in static electricity countermeasures and achieving operational efficiency.
In the electronic components industry, strict management is required in the manufacturing process to minimize the impact of static electricity on products. In particular, weighing raw materials in environments prone to static electricity increases the risk of measurement errors and foreign matter contamination, which can lead to a decline in product quality. vMICKS is a system designed to prevent human errors such as weighing mistakes and incorrect input in the formulation process, where manual work cannot be eliminated, and to reduce manufacturing losses. 【Usage Scenarios】 - Manufacturing processes for electronic components that require static electricity countermeasures - Manufacturing sites handling hazardous materials - Processes that prioritize traceability 【Benefits of Implementation】 - Improved yield through the reduction of measurement errors - Increased efficiency in the manufacturing process - Assurance of traceability
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【Features】 - Can also be utilized for traceability - Selection of appropriate equipment and instruments based on customer facilities and requirements - Proposals not only for system construction but also for equipment maintenance planning and implementation, as well as various maintenance and system support - Verification for each raw material input is performed with explosion-proof operation terminals to prevent input order errors and omissions - Utilizes wireless interface for explosion-proof weighing instruments to achieve reduced wiring and space-saving 【Our Strengths】 Asahi Kasei Engineering Corporation provides consistent engineering from design and construction to maintenance, offering optimal solutions tailored to customer needs.
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Asahi Kasei Engineering Corporation is a company that conducts design, procurement, and construction (EPC) with an eye toward maintenance, and also proposes appropriate maintenance based on design data. In addition to maintenance, it is also possible to propose information systems that consider production efficiency and production losses. In terms of maintenance, we are developing equipment diagnostic devices that utilize digital technology.
