June 16th, Spray Dryer Joint Seminar "Reducing Scale-Up Experiment Frequency - Lab Data and Digital Twin"

Pre-testing in simulations allows for risk avoidance in scaling up. We offer consulting services. Monthly contracts available.

The spray dryer allows for the consideration of product quality variation control and equipment scale-up (enlargement) by simulating factors that influence particle size control, moisture content control, and particle shape during the manufacturing process. In modeling, the particle size distribution is calculated based on the Population Balance equation, and the drying process of the particles is also taken into account. Additionally, representing adhesion to the walls is an important requirement in the simulation. With the integration of Siemens' STAR-CCM+, it is possible to analyze the actual gas flow in detail, which can be used for considerations of scale-up and operational improvements. This is an optional feature of gPROMS FormulatedProducts. *For more details, please download the catalog or contact us.

• simulator
• Contract Analysis
• Analysis Services

Visualize continuous processes! For improving quality and reviewing production costs in active pharmaceutical ingredient manufacturing and formulation processes. *We provide support from demo tests to utilization follow-up.

This is a modeling tool developed in collaboration with a U.S. mega-pharma company. Recently, the pharmaceutical industry has been transitioning from batch production to continuous production, and it is being used for process design and control system considerations. It is a model library of gPROMS FormulatedProducts. In continuous production processes, advanced quality management (PAT, QbD, RTRT) becomes possible, as well as the ability to handle small-batch, multi-product production, but at the same time, high-precision process modeling technology becomes essential. If you have any inquiries such as "I want to reduce plant construction costs," "I want to increase production volume at existing plants," or "I want to improve product quality (particle size distribution)," please feel free to contact us! 【Features】 ■ Capable of steady-state and dynamic (dynamic) simulation ■ Easily handles multiple recycle streams ■ Allows for optimization considerations of plant design and operation methods ■ Can identify and estimate process equipment performance from test data ■ Provides graphical representation of batch plant operating procedures ■ Can be linked with crystallization process analysis libraries ■ Can be linked with oral absorption analysis libraries *For more details about the product, please download the PDF from the link below.

• simulator
• Other analyses
• Analysis Services

Process model library (reaction, crystallization, wet and dry grinding, spray drying, wet and dry granulation, blending, and tablet compression, etc.)

gPROMS Formulated Products is equipped with a library of process models for operations such as reactions, crystallization, wet and dry milling, spray drying, wet and dry granulation, blending, and tablet compression. In case studies applied to pharmaceutical processes, it enables consistent performance analysis of the entire system from active pharmaceutical ingredient (API) manufacturing through formulation processes to oral absorption risk analysis. ■ Solution crystallization analysis ■ Solid-liquid and solid-gas separation, classification, and granulation process analysis ■ Oral absorption analysis This product was developed with the cooperation of major pharmaceutical companies in Europe and the United States. By using mathematical models of raw materials, unit operations, and product performance, it allows for formulation design aimed at optimizing pharmaceuticals and their manufacturing. It enables faster screening of new formulation candidates against quality attributes, including in vivo performance and manufacturability.

• simulator
• Other analyses
• Analysis Services

[Speaker] Naomasa Shibuya, Department Manager Data Marketing Unit, Strategy and Platform Division East Japan Railway Company Marketing Headquarters [Key Lecture Content] East Japan Railway Company announced a new group management vision, "Yusho 2034," aimed at realizing a rich life for all people by July 2025. In addition to the railway transportation business, we will further expand lifestyle service businesses (non-railway) such as station facilities, station buildings, hotels, and real estate, promoting human-centered marketing focused on our customers. To achieve this, data marketing utilizing usage history from Suica and JRE Point members is essential. It is not enough to simply implement tools or acquire analytical techniques; it is crucial to cultivate personnel who understand the business and can conduct appropriate data analysis and strategy planning. We will also introduce the development of job-type personnel in data marketing, which we began recruiting in 2024. In this lecture, I will discuss the key points for advancing data marketing within a business company, incorporating case studies.

[Lecturers] Mitsubishi UFJ Research and Consulting Co., Ltd. Consulting Business Division Sustainability Business Unit, Sustainability Strategy Department, Group 1 Senior Manager Ryo Maeda Consultant Keiro Shimada [Key Lecture Content] Towards achieving carbon neutrality by 2050, Japan is advancing the introduction of a carbon pricing system. This lecture will explain the overview of carbon pricing and the price determination mechanisms for fossil fuel levies and specific business burdens, and will discuss future price forecasts and their impact on companies. Furthermore, it will organize the latest trends in GX-ETS Phase 2 and carbon credits, as well as issues related to credit supply and demand and utilization, and will propose measures that companies need to take in light of the introduction of the carbon pricing system. [Lecture Items] 1. Trends in the carbon pricing system 2. Trends in carbon credits 3. Required responses from companies 4. Q&A / Business card exchange

We will be exhibiting at the "International Frontier Industry Messe," one of the largest comprehensive exhibitions in western Japan. September 4 (Thursday) - 5 (Friday), 2025 Kobe International Exhibition Hall 2nd floor, Hall 1, Booth Number P-74 Inside the Aioi Chamber of Commerce booth We sincerely look forward to your visit.

In recent years, the pharmaceutical and medical industries have faced urgent challenges, including the digitization of standard operating procedures (SOPs) and the strengthening of continuous education and human resource development. In this webinar, we will introduce a comprehensive system that not only streamlines operations but also consistently supports education and human resource development by integrating Agatha's SOP management cloud solution "Agatha SOP" with "Ave-TMS," a training management system provided by BIO-TREND BIOPRODUCTS, with whom Agatha has recently signed a distribution agreement. [Program] Part 1: 14:00 - 14:20 "Introduction to Agatha Solutions" Agatha Inc. Sales & Marketing Department, Quality Group Part 2: 14:20 - 15:00 "Ave-TMS Demo Presentation" BIO-TREND BIOPRODUCTS Project Manager, Choi Woo-Chun *For Q&A, please fill out the survey displayed after the webinar, and we will respond later.

[Speaker] Toshio Kawamoto, Managing Director / Head of Cross Creation Group, NTT Data Management Research Institute, Business Transformation Unit, and Co-representative of Social Innovation Alliance Japan Denmark Takaaki Sukegawa, Senior Manager [Lecture Items] 1. Competitiveness and Governance in the Post-Generative AI Era - Toshio Kawamoto [13:00 - 14:00] 1. Introduction to NTT Data Management Research Institute 2. Major countries' perspectives on AI utilization 3. Considerations for companies when building AI governance 4. Examples of AI governance construction in Japan 5. Introduction of our company's achievements in related projects 6. Q&A / Business card exchange 2. On-Site AI Risk Management in Europe ~Introduction to Trends in AI Utilization in Europe and Advanced Centralized AI Risk Management Solutions~ - Takaaki Sukegawa [14:10 - 15:10] 1. Overview of centralized AI risk management 2. Detailed approach 3. Introduction of case studies applying the approach 4. Q&A / Business card exchange