Production Management System "GROTRY" AI Scheduler
An independently developed AI automatically formulates production plans by considering equipment load, past performance, operating hours, and regular maintenance.
An independently developed AI automatically creates production plans by considering equipment load, past performance, operating hours, and regular maintenance. By reviewing and modifying the created production plans, the person in charge can efficiently formulate production plans. By accumulating and learning from information such as order details and production capacity, it supports the formulation of production plans that are more suited to the actual site.
basic information
Functions of the production management system "GROTRY"
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Applications/Examples of results
【Applications】 ■Metal processing ■Machine assembly ■Automotive parts manufacturing ■Food manufacturing, etc. *For more details, please refer to the PDF document or feel free to contact us.
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Notice of Participation in the 5th Smart Logistics EXPO: Logistics DX / Robotics / Carbon Neutral Exhibition
Qsol will exhibit at the "5th Smart Logistics EXPO: Logistics DX / Robotics / Carbon Neutral Exhibition" to be held at Tokyo Big Sight from January 21 (Wednesday) to January 23 (Friday), 2026. The "5th Smart Logistics EXPO: Logistics DX / Robotics / Carbon Neutral Exhibition" is a trade show showcasing the latest technologies aimed at solving various challenges faced by the logistics industry. It serves as a venue for discussions and technical consultations between exhibitors dealing with IoT, IT systems, AI, robotics, and logistics equipment for realizing smart logistics, and logistics professionals from the logistics and manufacturing industries aiming for automation, labor-saving, and digitalization. Our company is advancing research and development of a detection system specifically focused on "cargo collapse" among logistics challenges. By combining camera footage, sensor information, and AI technology from devices installed inside containers, we will reference a system for monitoring the real-time condition of cargo during transport and for early detection of cargo collapse. Exhibition Details: Date: January 21 (Wednesday) to January 23 (Friday), 2026, 10:00 AM to 5:00 PM Location: Tokyo Big Sight (3-11-1 Ariake, Koto-ku, Tokyo) Tokyo Big Sight West Exhibition Hall, Booth Number: W20-32
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We will start a joint research project on smart factory development with Shabondama Soap Co., Ltd.
Amid the rapid changes in society and the economy due to recent advancements in digitalization, the manufacturing industry faces various challenges such as improving productivity and product quality to strengthen competitiveness, inheriting the skills of experienced workers, and ensuring the stable operation of aging equipment. Additionally, factories often involve dangerous tasks, presenting various risks such as heatstroke and labor accidents, making safety management for workers an urgent issue. Therefore, Shabondama Soap Co., Ltd. (Headquarters: Wakamatsu Ward, Kitakyushu City; President: Hayato Morita) and Qsol Co., Ltd. (Headquarters: Chuo Ward, Fukuoka City; President: Masahiko Inuzuka) will begin joint research utilizing AI, IoT, and wearable devices towards the realization of smart factories.
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Qsol is a company that "solves customer challenges through information systems." We support the information systems of Kyushu Electric Power, which require high levels of safety and reliability, with ICT capabilities from development to operation, monitoring, maintenance, and support, contributing to the stable supply of electricity. Additionally, we contribute to the growth of our customers across various industries, including manufacturing and air transportation, by providing ICT solutions. "We are the navigator that realizes our customers' desired vision; that is Qsol."