Optimization of preservation strategies! Evaluating whether goals such as safety, operation, and the environment can be achieved.
"RCMCost" enables reliability-centered maintenance (RCM) based on failure mode and effects and criticality analysis (FMECA). This product supports the achievement of objectives such as minimizing costs, meeting safety and environmental goals, and fulfilling operational targets. Additionally, it allows for the calculation of appropriate maintenance cycles. 【Features】 ■ Project management in bulk through tools ■ Intuitive user interface ■ Compatible with other modules ■ Ability to calculate appropriate maintenance cycles ■ Support from experts familiar with equipment management and failure analysis across various industries *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 assessment. ■ 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 document or feel free to contact us.
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Applications/Examples of results
【Purpose】 ■Support for those engaged in Reliability-Centered Maintenance (RCM) ■Prediction of asset performance ■Optimization of maintenance strategies ■Reduction of operational risks ■Improvement of profitability ■Increase in uptime and reduction of costs ■Optimization of spare parts inventory ■Simulation of predictive maintenance *For more details, please refer to the PDF document 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 one 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 towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.
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