Reduce overtime and increase productivity with shift optimization! Achieve a highly efficient food manufacturing line even with a labor shortage.
Fixstars Amplify automatically optimizes complex shift scheduling that even experienced personnel find challenging, using computers and algorithms. It quickly calculates the optimal shifts while considering various constraints such as employee skills, preferences, working hours, break times, and staffing for production lines. This allows for maintaining productivity even in the face of labor shortages, while also achieving a better work-life balance for employees. **Benefits of Implementation** Dramatic reduction in shift creation time: AI takes over the complicated task of shift scheduling, achieving significant time savings compared to manual creation. High-efficiency shifts even with labor shortages: Automatically creates shifts that maximize productivity with limited personnel by considering employee skills and preferences. Reduction of overtime hours: AI proposes shifts that minimize overtime while ensuring compliance with laws and considering employee health. Improvement in employee satisfaction: By creating shifts that take into account preferred days off and fairness in working hours, it helps maintain employee motivation. Thorough compliance with laws: Automatically creates shifts that comply with relevant laws such as the Labor Standards Act, reducing compliance risks.
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basic information
Fixstars Amplify offers two development models that can be selected according to your problem-solving style. Co-creation Development: Our team of experts works closely with you to create the optimal solution. Independent Development: You can utilize the SDK to freely build your own system. 【Differences from Other Companies】 Specialized in the Food Manufacturing Industry: Equipped with an AI engine that addresses the complex shift requirements of the food manufacturing industry (such as manufacturing line characteristics and food safety constraints). Advanced Optimization with AI: Not just a shift management system, but an advanced AI algorithm automatically creates optimal shifts considering employee skills, preferences, and the status of the production line. Integration with Existing Systems: Seamless integration with existing systems such as attendance management and HR systems is possible. *For more details, please download the catalog or feel free to contact us.
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Applications/Examples of results
【Main Uses】 - Production planning and shift creation - Optimization of capital investment - Vehicle route optimization and operation management - Optimization of shelving in automated warehouses - Optimal route design for AGVs (Automated Guided Vehicles) - Delivery planning and dispatch planning - Optimization of design parameters - Materials informatics, etc. *For more details, please download the catalog or feel free to contact us.
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Company information
Fixstars Amplify Inc. offers an optimization computing cloud called "Fixstars Amplify," which solves combinatorial optimization problems quickly and accurately using quantum technology. "Fixstars Amplify" is a powerful tool that addresses problems that are difficult to solve with traditional computing methods. It includes GPU-based annealing machines capable of handling large-scale problems with over 260,000 bits, developed based on the high-speed technology that Fixstars has cultivated over many years, as well as machines specialized for scheduling problems, which provide optimal solutions quickly and accurately. With its speed, accuracy, and flexible usage options, it contributes to solving business challenges for customers. It is already being used by over 900 companies and research institutions, with a total execution count exceeding 80 million. The usage methods can be flexibly adapted to the customer's situation. For customers who wish to develop their own systems, we provide a development environment and offer extensive support for development. Additionally, co-creation development, where we handle application development, is also possible.