Research Information Management for Process IndustriesBIOVIA Notebook/Pipeline Pilot

B-EN-G will contribute to the promotion of digitalization in the research and development department by supporting the introduction of Dassault Systèmes' "BIOVIA Notebook" and "Pipeline Pilot" for customers who handle functional materials. In addition, we will support the construction of a foundation for digitalization in the process of prototyping, mass production, and manufacturing process improvement, such as building a foundation for data collection in the manufacturing process and data integration with ERP and MES, as well as the construction of a foundation for utilizing data science.

Overview

「BIOVIA」はダッソー・システムズが提供するブランドの一つであり、主に材料科学を行う産業の研究開発部門へソリューションを提供しています。化学、素材、日用品、食品飲料、化粧品、電池、半導体、電子部品、医薬品、タイヤ・ゴムといった幅広い産業で利用されています。BIOVIAは製品として25年以上の歴史を持ち、世界各国で2000社以上、140万人以上のユーザーに利用されています。
「Virtual Twin（バーチャルツイン）」のコンセプトに基づき、サイエンスに関わるツール(Virtual Lab)とサイエンスデータ管理・ラボソリューション(Real Lab)を融合させることで、研究開発の短縮と高速化、およびダークデータを再利用可能な知識へ変えることを目指しています。これにより、より多くのモデルでより多くの選択肢を探索し、より少ない試験・実験で高価なルーチン作業や重複を回避することを可能にします。

function

BIOVIA Notebook: This is an electronic experiment notebook that records the purpose, procedure, results, and considerations of experiments, and also centrally records and accumulates ideas, research data, and experimental processes.
It supports drag-and-drop file insertion, powerful search functions (searching between notes, within attachments, and for chemical structures), template creation, and handling of chemical structures and reaction formulas.

BIOVIA Pipeline Pilot: This is data science software that allows you to create data processing and analysis protocols, including statistical analysis and machine learning, using low code.
It has functions such as data extraction and merging, property calculation and filtering, report creation, predictive modeling, and image analysis.
Data from electronic experiment notebooks can be automatically extracted and used to build business support processes, such as automatically creating weekly and monthly reports, and can also be used for analysis using data science and AI (property prediction, formulation optimization, etc.).

Features

■ Integrated management and database creation of research data
Using Notebook as a central point, you can centrally manage experimental records and related data that tend to be scattered, and build a knowledge database that is easy to use. You can attach files in various formats, and perform powerful searches by keywords, tags, and chemical structures.

■Intuitive and easy-to-use interface
Notebook in particular has a simple and intuitive interface, making it easy to get started.

■ Utilizing data through collaboration with data science and AI
By linking with Pipeline Pilot, experimental data and related data accumulated in Notebook, etc. can be automatically extracted and processed, and used for materials informatics (MI) using data science, AI, etc.

■ Compliance support
With features such as proof of fairness and authenticity of experiment records, intellectual property protection, electronic signatures, and audit capabilities, it helps you meet strict regulations and compliance requirements.

Implementation Results

■ Shortening and accelerating research and development time
By streamlining processes, quickly sharing information, and promoting data utilization, we can shorten product development times and speed up research and development.

■Improve business efficiency and reduce costs
It reduces the workload of researchers by reducing the time spent searching for information and recording work, and automating routine tasks.

■ Sharing and passing on knowledge and know-how
Sharing research records and knowledge across the organization prevents information from becoming personal and makes it easier to pass on technology.

■ Maximizing data utilization
By utilizing systematically accumulated data in data science and AI, we can gain new knowledge and discover optimal solutions, maximizing the value of research data.

B-EN-G Implementation Support Services

B-EN-G supports the construction of a digital infrastructure for the research, development and mass production of functional materials.
In addition to providing BIOVIA digital transformation support for R&D departments, we also offer solutions to support digital transformation for the entire manufacturing process, including the deployment of process informatics, in combination with the introduction of ERP, MES, LIMS, and historian products, as well as support for the digitalization of manufacturing sites (smart factories).