[For the manufacturing industry / Free participation] Seminar on Maximizing Profits in Manufacturing Sites
Is it actually a loss that can be sold? Uncovering hidden losses with 'time data' from equipment and personnel!
"Even though the processing costs in the catalog are the same, there are products that somehow do not generate profit..." "We are unable to grasp the reasons for machine stoppages (short and long stops) or the speed differences among operators..." The "invisible losses" lurking in the workplace may actually be significantly squeezing the factory's profits. This document explains a method to dramatically enhance the profitability and competitiveness of the site by automatically acquiring the "operating time" of processing machines and the "working time" of operators, and cross-analyzing them on the same time axis! ▼ What you will learn in this seminar 【Reducing equipment stagnation】 Identify priority measures for short and long stops to significantly reduce machine downtime 【Highlighting unprofitable products】 Calculate the "net actual cost" from equipment and personnel data for evidence-based price negotiations 【Technology transfer and leveling】 Visualize the work differences (such as screw tightening) between skilled workers and newcomers to eliminate bottlenecks in the process 【Case study of a press processing factory】 A practical model from daily report automation to data collection using RFID ▼ Event Overview Date: November 13, 2026 (Friday) 13:30 - 14:30 Format: Online (Teams Webinar) Participation Fee: Free *For more details, please feel free to contact us.
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Trust Corporation is a professional group that creates the future of finance through technology and community. Based in Chuo-ku, Tokyo, we accompany financial institutions in their digital transformation through AI, data utilization, and IT consulting. We consistently lead support through advanced technologies, such as providing our own developed generative AI products and building data analysis organizations (Centers of Excellence), aiming for transformation in the financial industry.
