Introduction of case studies on multi-objective variable problems using Pipeline Pilot.
This document presents a case study on multi-objective variable problems using Pipeline Pilot. It includes topics such as "Clustering based on molecular structure," "Overview of approaches to multi-objective variables," and "Data used in examples of multi-objective optimization." Pipeline Pilot is a tool that enables various processes using a wide range of functions, achieving simplification and efficiency in data processing through a concise GUI. [Contents (excerpt)] ■ Pipeline Pilot workflow ■ Clustering based on molecular structure ■ Overview of approaches to multi-objective variables ■ Data used in examples of multi-objective optimization ■ Finding Pareto optimal solutions for multi-objective variables *For more details, please refer to the PDF document or feel free to contact us.
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【Other Published Content】 ■Determine the range of explanatory variables ■Advantages of being able to determine the range of variables that can be assumed (summary) ■Features of Pipeline Pilot *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into a system that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend of digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to improve operational efficiency. In line with this trend, our company provides a solution aimed at enhancing efficiency in research and development environments, which is the Laboratory Information Management System (LIMS). This software includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.