Hands-on workshop for manufacturing researchers and engineers: Bayesian optimization using the statistical analysis software JMP Pro conducted without coding.

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

We will be exhibiting at the "Financial International Information Technology Exhibition" FIT Osaka 2026, which will be held at Grand Front Osaka on September 3 (Thursday) and September 4 (Friday). We will introduce the features of our human resources information system "Fellowship," which includes various functions useful for HR department operations, such as personnel management, payroll, and employment.

Our company will invite professors who are active at the forefront of university research to hold a web technology course in the construction field. This time, as a follow-up to "The Effects and Design Considerations of Shield Tunnels in Proximity and Adjacent Situations - Part 1," which was published in July, we will have a lecture by Professor Noriyuki Horiuchi from Kokushikan University. In "Part 1," we explained the phenomena of the effects caused by proximity and adjacent shield tunnels, using examples of left-right adjacency and passing beneath existing tunnels, as well as the basic concepts of numerical evaluation. In "Part 2," we will focus on the vertical adjacency of large-section shields. We will introduce analytical methods for numerically evaluating the impact on existing tunnels, surrounding ground, and existing underground structures, using actual site measurement data and FEM sequential excavation analysis, specifically in cases where large-section shields are constructed above or below existing tunnels. We will also discuss methods for predictive analysis, design, and construction considerations. This course will be beneficial for those studying for the "Professional Engineer Examination," so please take this opportunity to participate. Additionally, this course is a CPD accredited program by the Japan Society of Civil Engineers (planned), and you can also participate as part of engineer education. We sincerely look forward to your participation.

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.