GEベルノバ・ソフトウェア・ジャパン Product Lineup

In this document, we introduce "the creation of digital plants." If data cannot be shared and visualized across the plant and the entire enterprise, what will happen to the value of that data? We provide a detailed explanation of this topic. Additionally, we also cover three important steps in the journey of digital kaizen. Please feel free to download and read it. [Contents] ■ Introduction ■ Extracting value through data visualization and sharing ■ Digital kaizen for continuous improvement ■ PDCA (Plan, Do, Check, Act) ■ Prediction and optimization ■ Final outcome: optimized plant operations *For more details, please download the PDF or feel free to contact us.

This document is a "Guidebook for Machine Learning and Predictive Analytics for Engineers" that leverages domain expertise to promote optimization without the need for the presence or knowledge of a data scientist. We provide analytics technology training in the form of detailed self-service demo videos and application advice to support the goals of machine learning and analytics. We feature case studies of major food companies that have utilized analytics to achieve waste reduction, quality improvement, raw material savings, and optimization of OEE. Please take a look. [Contents (excerpt)] ■ Case studies of advanced analytics ■ Skjern Paper, using AI to improve product quality and reduce waste ■ Exaro and Wabtec, enhancing coal business processing capacity ■ Henning Vand, gathering valuable insights from historical data ■ Positive changes at Rockwool ■ Impala Platinum, reducing process variation by 40% with Proficy CSense

This document introduces "Hybrid Industrial Data Management of On-Premises and Cloud." There is an increasing number of industrial companies expressing a desire to find optimization opportunities within their plants using cloud-based analytics suites. It also provides detailed explanations about hybrid data models and the advantages of "Historians," making it easy to reference when considering implementation. Please feel free to download and take a look. [Contents (Excerpt)] ■ High costs associated with cloud-based data acquisition and storage ■ Historians reduce costs by 80% for factories and entire enterprises ■ Hybrid data models ■ Historians outperform RDBs in hybrid data models ■ Cost reduction through improved compression rates ■ Success of hybrid data models *For more details, please download the PDF or feel free to contact us.