Utilization of the experimental design features of the statistical analysis software JMP in the manufacturing industry.

Analyze visually and interactively.

JMP, developed by SAS, has been used as a tool for statistical discovery by scientists, engineers, and people in various industries and government sectors engaged in data exploration. JMP is a desktop software that combines dynamic data visualization with powerful statistical capabilities, processing data in-memory. With interactive and visual JMP, it is possible to gain insights that cannot be obtained from mere tables of numbers or static graphs. In JMP, graphs, statistics, and data are all linked. This allows for deeper exploration of thoughts and leads to groundbreaking discoveries. JMP enables users to perform analyses in succession while staying in the flow of analysis. You can explore while maintaining the flow of the analysis, and there is no need to re-execute commands when new questions arise. Using JMP significantly improves the efficiency of data analysis, making it easy to handle everyday tasks and complex statistical problems, while also effectively communicating the results of the analysis.

• Construction and process management software
• Scientific Calculation and Simulation Software
• Big Data

Sophisticated methods for conducting advanced analysis.

JMP Pro is software that adds advanced analytical capabilities to JMP. The statistical analysis software JMP Pro, provided by SAS, is designed for scientists and engineers, and it includes many advanced techniques in addition to the excellent features familiar in JMP, such as visual data access, data manipulation, interactive operation methods, rich analytical functions, and scalability. Furthermore, JMP Pro offers a variety of advanced tools. It includes predictive modeling with validation features using numerous different techniques, state-of-the-art modeling methods, model comparison and averaging, advanced multivariate analysis, reliability block diagrams, coverage arrays, mixed models, uplift models, and statistical methods utilizing advanced calculators. With JMP Pro, you can perform advanced and diverse analyses, helping to remove barriers that hinder statistical discoveries and uncover clues hidden in the data. This allows you to more quickly find breakthroughs to problems and anticipate and control the future.

• Process Control System
• BI Tools

For researchers and technology developers in the manufacturing industry! Start with no-code experimental design (DOE).

This is an introductory seminar to learn the basic operations of JMP's "Design of Experiments (DOE)." Anyone can participate, regardless of industry, job type, or experience with design of experiments. You will be able to experience the basic operations and functions of design of experiments while actually operating JMP on your own device, following the instructor's explanations and the provided text (PDF version). [Content] The seminar will focus on explaining the procedures for creating experimental designs, entering experimental data, fitting models, and visualizing results (such as contour plots and response surfaces) using JMP. JMP's "Custom Design" is a flexible experimental design creation feature that supports screening experiments and optimization experiments. It allows for the combination of various types of factors, such as continuous factors, categorical factors, and mixture factors, and can also create experimental designs with constraints on factors. In this seminar, we will introduce these features and how to utilize them while actually creating experimental designs using "Custom Design." If you do not have JMP, you can participate using a 30-day free trial version. Trial: https://www.jmp.com/ja/download-jmp-free-trial

• Other Software

Hands-on workshop for manufacturing researchers and engineers: Bayesian optimization using JMP Pro statistical analysis software implemented with no code.

Bayesian optimization is gaining attention as a method for efficiently developing new products and processes. It is characterized by its ability to efficiently explore optimal conditions through sequential experiments. In this seminar, we will introduce the Bayesian optimization platform included in JMP Pro 19, explain its fundamental concepts, and provide hands-on experience with its operation. 【Target Audience】 - Individuals involved in product and process development in the manufacturing industry - Those conducting experiments in their work - Individuals considering or interested in utilizing Bayesian optimization 【Overview】 - Introduction / Overview of Bayesian Optimization - Fundamental concepts and application scenarios - Operation explanation using JMP Pro 19 - Hands-on session (condition exploration using simulation examples) - Summary and Q&A Participants are requested to bring their own laptops to operate JMP Pro using a virtual environment (virtual lab). For details on system requirements and other information, please check the application page below. https://www.jmp.com/ja/events/seminars/non-series/2026/09-01-bayes

• Other Software

In this webinar, we will clearly explain effective operational methods based on media characteristics, timing for posting, and points for improvement after publication. It is not only important to "collect applications" in recruitment. To prevent mismatches and early turnover after hiring, it is crucial to review the entire recruitment process, including how job information is conveyed and what to confirm during the selection process. Therefore, we will also introduce how to design the recruitment process to prevent discrepancies in understanding with job seekers and to enhance retention rates. Additionally, in small and medium-sized enterprises with few recruitment personnel, the workload involved in creating job postings, responding to applicants, and measuring effectiveness can become a significant burden. We will also explain how to systematize and streamline media operations to make recruitment tasks more efficient, allowing continuous recruitment activities even with limited personnel. Finally, based on the content introduced this time, we will organize and convey specific improvement actions that can be implemented starting tomorrow. Even companies that find it difficult to increase their recruitment budget may have the potential to enhance recruitment outcomes by reviewing their choice of job media, job postings, operational methods, and recruitment processes.

Our company will be exhibiting at the on-site DX EXPO【Autumn】held at Makuhari Messe, in collaboration with Japan Comsys Corporation, TOSYS Corporation, NDS Corporation, and Tomei Communication Industry Corporation, as part of the Comsys Group. This exhibition is held within the "Japan DX & AX Week" and is a specialized exhibition where the latest solutions supporting digital transformation (DX) such as image processing AI, remote monitoring, and robotics gather for those working in various fields such as construction sites and factories. We will also be introducing various AI-powered solutions from our company. Exhibited Products: - Collaborative solutions from various companies (AIJO Site Monitor 'Bear Detection Solution') - AI rebar shape measurement system 'AIJO Rebar King -AIJO HiKing-' - AI monitoring solution 'AIJO Site Monitor' - Safety gear inspection before work 'AIJO Safety' - Product appearance inspection solution for manufacturing industry 'AIJO Check AItem' - Automated drone inspection service for solar power plants 'AIJO Check Solar' and more.

JMP is software that not only excels in statistical analysis and graph creation but also has robust features for experimental design. By utilizing experimental design, efficient data collection can be achieved while minimizing time and costs. In this seminar, we will focus on the features of experimental design, specifically the sample size explorer and Bayesian optimization, and demonstrate examples of their application in the manufacturing industry. 【Overview】 First half: Utilization of t-tests in the manufacturing industry and simulation of required data numbers We will explain the overview and examples of t-tests, which are used for various purposes in the manufacturing industry, and present analysis examples using JMP. Additionally, we will introduce a method to simulate the relationship between the required data numbers for t-tests and statistical power using the sample size explorer. Second half: How to utilize JMP Pro Bayesian optimization – Application to simulation experimental data The Bayesian optimization platform is originally designed for experimental data that includes measurement errors, but there is also a strong demand to apply it to simulation experimental data that does not contain errors, such as CAE. In this seminar, we will introduce approaches for utilizing Bayesian optimization with simulation experimental data.

Nitto Kohki will hold the "2025 Attack Fair in Meiko" for two days from July 23 (Wednesday) to July 24 (Thursday), 2025, at the "Kowa Seminar Plaza 2F Training Room No. 12 (inside Kowa Sports Land)." The Attack Fair is an exhibition where you can actually "see, touch, and operate" Nitto Kohki's products. Additionally, there will be wonderful souvenirs for attendees and many fun activities prepared. We look forward to welcoming everyone!

"The training ends up being just a formality, and the effects are not felt." "Is it really okay to implement uniform training methods in a workplace with employees who have diverse values?" If you are responsible for or promoting human resource development, you may have encountered such challenges. In this seminar, we will introduce human resource development methods tailored to individual skills, experience levels, and career perspectives, using real examples. We will also provide a detailed explanation of "personalized learning," which allows for the individual optimization of learning based on personal abilities, skills, and career perspectives made possible by the advent of AI. ◆ Recommended for: - Those who are implementing employee development measures but are not feeling the effects. - Those looking for ways to enhance employees' autonomous learning and motivation to learn. - Those interested in the latest human resource development methods utilizing AI. ◆ Topics to be discussed: - Only 11% of companies are implementing reskilling measures? The reality of corporate human resource development. - What is an Individual Development Plan (IDP) that maximizes individual potential? - Actual implementation of individual capability development plans. - Optimization and effect maximization of human resource development using AI.