Project bulk management with tools! Integration with other modules is also possible.
The Availability Workbench Weibull module can calculate the failure rate of equipment components based on failure data. The purpose of Weibull analysis is to calculate the failure rate of equipment, understand the characteristics of equipment failures, and lead to maintenance optimization. Experts familiar with equipment management and failure analysis in various industries provide support. 【Features】 ■ Analysis can be performed by inputting data ■ Immediate connection to maintenance optimization through integration with RCMCost and AvSim ■ Support from experts well-versed in equipment management and failure analysis across various industries ■ Project management in bulk through tools ■ Intuitive user interface ■ Possible integration with other modules *For more details, please refer to the PDF materials or feel free to contact us.
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basic information
【Target】 ■ Those who own their own equipment and are considering transitioning to preventive maintenance or predictive maintenance. ■ Those who are required to efficiently manage aging equipment. ■ Those who are developing or designing industrial machinery or equipment and need evidence based on reliability evaluation. ■ Those who are conducting field services and wish to make proposals to end users based on quantitative evidence. *For more details, please refer to the PDF materials or feel free to contact us.
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Applications/Examples of results
【Purpose】 ■Support for those working on Weibull analysis ・Implementation of 2-parameter Weibull and 3-parameter Weibull ・Support for methods such as bi-Weibull, tri-Weibull, and Weibayes *For more details, please refer to the PDF materials or feel free to contact us.
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Company information
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.
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