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Minitab

addressTokyo/Chiyoda-ku/1-11-1 Marunouchi, Pacific Century Place (19th floor)
phone03-4510-3280
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last updated:Jul 03, 2025
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Statistical analysis software "Minitab" Statistical analysis software "Minitab"
Statistical Process Control Software "Real-Time SPC" Statistical Process Control Software "Real-Time SPC"
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How to achieve the FDA's five-stage goals and bring medical devices to market.

While looking at examples of various medical devices, let's review the stage objectives and the statistical techniques commonly used within each stage!

From bandages to heart pacemakers, medical devices have one primary purpose: to enhance the quality of life. Medical device manufacturers must be responsible for the safety and efficacy of their products throughout the entire product development cycle. In the United States, the FDA recommends five stages for medical device development. These stages require rigorous pre-market testing and post-market surveillance to monitor the performance of medical devices, ensuring their safety and efficacy throughout the entire product development cycle. As scientists invent, improve, and test medical devices, many of these steps may overlap with one another. *For more detailed information, please refer to the PDF. Feel free to contact us for more details.*

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Minitab Inc. Company Profile

Make all decisions accurately! Strengthen your business with reliable analytical solutions.

Our mission is to make better data-driven decisions and to enhance excellence and innovation, as well as to promote excellence and innovation. We aim to improve performance, drive innovation, and provide high-quality products and services. With a rich history, we strive to help organizations achieve operational efficiency and outstanding performance. Additionally, built on a solid foundation of years of expertise, we consistently evolve to meet our customers' needs, spanning various industries, sizes, and regions. 【Products Offered (Partial)】 ■Minitab Connect ■Minitab ■SPM ■Minitab Model Ops ■Minitab Workspace *For more details, please download the PDF or feel free to contact us.

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Enhancing pharmaceutical production with machine learning models.

Investigate the yield process in detail using multiple machine learning models and identify key parameters!

Takeda Pharmaceutical Company Limited (Headquarters: Tokyo) is a global research and development-based biopharmaceutical company with a mission to create "a healthier and brighter future" for people around the world, always putting patients at the center of its focus. For over 230 years since its founding, the company has earnestly worked on creating innovative pharmaceuticals and treatment methods, anchored by an unwavering fundamental spirit of management. Takeda has a long-standing relationship with our company, using analysis to solve production issues, identifying and implementing opportunities for improvement, and planning appropriate experiments to achieve process improvements with minimal supervision. *For detailed content of the article, please refer to the PDF. For more information, feel free to contact us.*

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About the certainty and reliability of 95/95.

Demonstrating reliability standards is an important benchmark in the medical device industry!

You may have seen numbers such as 90/80 reliability, 95/95 reliability, 95/99 reliability, and 99/99 reliability. In the context of certainty and reliability, the first number represents certainty, and the second number represents the degree of reliability. For example, if a process achieves 95/95 certainty and reliability, it indicates that you can be 95% confident that 95% of the units in the population are good. *For detailed content of the article, you can view it in the PDF. Please feel free to contact us for more information.

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Challenges in the automotive manufacturing industry that Minitab can solve.

The automotive industry solves challenges and analyzes data! Supporting the development of safe and efficient vehicles.

Currently, the automotive manufacturing industry is facing many unique challenges. New technologies such as artificial intelligence (AI), 5G, and computer vision are being integrated into already advanced manufacturing processes. Additionally, new regulations regarding standards require rapid and efficient responses. Process optimization, supply chain flexibility, and emission reduction are becoming more important than ever. Minitab has been helping automotive manufacturers respond to industry changes for over 50 years. Through a global team and local support around the world, Minitab has a deep understanding of global trends and region-specific challenges. *For more details, please refer to the PDF. Feel free to contact us for more information.*

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Case studies of the statistical analysis software "Minitab" in the packaging and logistics field.

50% reduction in overfilling! Optimize your packaging process with the statistical analysis software "Minitab" and achieve significant savings! A free trial is also available!

For improving the bagging process, the statistical analysis software Minitab is recommended. If the management of filling amounts is lax, it can lead to significant cost increases due to material waste from overfilling, and if underfilled, it can result in regulatory violations and damage to brand reputation. For example, in a case involving packaged candy, Minitab was used to reduce overfilling by more than 50%. This resulted in savings of over $1.2 million (approximately 180 million yen) in material costs annually. This achievement is due to the suppression of process variation and optimization of filling weight based on statistical analysis. Minitab is a powerful statistical analysis software that helps reduce waste while complying with government regulations and improving profits. It is particularly recommended for companies with packaging processes and has a strong track record. ■ Key Points Challenge: Increased costs from overfilling and risk of regulatory violations from underfilling. Case: A packaged candy company reduced overfilling by over 50%. Results: Saved over $1.2 million in material costs annually. Recommendation: Processes can be optimized with the statistical analysis software Minitab. *For more details, please download the PDF or feel free to contact us.

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Statistical Process Control Software "Real-Time SPC"

Utilization of solutions for data measurement and tracking management! Statistical process control software that achieves optimal performance across a wide range of product lines and the entire manufacturing process.

The statistical engineering management software "Real-Time SPC" is a product that enables rapid monitoring of quality and processes, from surveillance to response and provision. This product is equipped with all the features necessary for customized issue identification alerts, access to visual process monitoring functions, and easy data setup and collection, all within a single integrated analytical ecosystem. Additionally, it is designed to meet the needs of any role, whether the user is an engineer, field personnel, business manager, or executive. 【Solutions to these concerns】 ■ Monitoring operational status under circumstances where immediate access to data is not possible can be stressful and lead to wasted time. ■ A single solution is needed to alleviate the burden on all personnel involved, including process engineers, factory supervisors, and field workers. ■ We want to reduce the time required to identify the root causes of problems. *For more details, please download the PDF or feel free to contact us.

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Statistical analysis software "Minitab"

Data analysis and predictive modeling! It is a statistical analysis software that enables excellent results and data-driven decision-making. A free trial is also available!

The statistical analysis software 'Minitab' is a powerful statistical tool that anyone can use. Predictive analysis utilizing advanced forecasting algorithms and tools such as CART, Random Forests, TreeNet, and MARS provides better results than conventional regression approaches. By leveraging this powerful module, you can make informed decisions based on a deep understanding of complex datasets, leading to excellent outcomes and data-driven decision-making. 【Solutions to some of these concerns】 ■ Missing data points in observational datasets weaken the statistical power derived from the data, resulting in shallow insights. ■ Common data analysis methods typically prioritize strong indicators, often overlooking valuable insights provided by less powerful indicators, which can lead to an incomplete understanding of the data. *For more details, please download the PDF or feel free to contact us.

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