Automatically collect data on raw material input amounts to streamline the adjustment of feed nutritional balance.
In the feed industry, it is essential to accurately manage the nutritional balance of feed to maximize the health and productivity of livestock. Particularly in compound feed, measurement errors in raw materials or deviations in mixing ratios can lead to imbalances in nutrition and decreased feed efficiency. vMICKS automatically collects data on the amount of raw materials used, preventing measurement errors and incorrect inputs, and supports the realization of an accurate nutritional balance. 【Usage Scenarios】 - Compound feed manufacturing plants - Weighing of feed additives - Formulation adjustments based on nutritional component analysis 【Benefits of Implementation】 - Reduction of weighing time - Prevention of human errors - Reduction of manufacturing losses - Assurance of traceability
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【Features】 - Can also be utilized for traceability - Selection of appropriate equipment and instruments according to customer facilities and requirements - Proposals not only for system construction but also for equipment maintenance planning and implementation, 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 - Realization of reduced wiring and space-saving using wireless interface for explosion-proof weighing instruments 【Our Strengths】 Asahi Kasei Engineering Corporation provides consistent engineering from design and construction to maintenance, proposing optimal system construction tailored to customer needs. We design with maintenance in mind, supporting our customers' production activities from a long-term perspective.
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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.
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