Experts familiar with equipment management and data analysis across various industries provide support!
The "Service Parts and Repair Parts (Spare Parts, Replacement Parts) Demand Forecasting System" is a service that can handle data acquisition, management, and analysis using integrated functions. For the acquisition and management of defect information, we provide i-Reporter, FLiPS, and AiPOST. For data analysis and simulation, we offer Availability Workbench. Additionally, by integrating these tools, it is possible to quantitatively evaluate equipment utilization rates, maintenance cycle optimization, required spare parts quantity, lifecycle costs, and more. 【Features】 ■ Centralized management and visualization of projects through tools ■ Quantitative evaluation through simulation for areas previously reliant on intuition in the field ■ Intuitive user interface *For more details, please refer to the PDF materials or feel free to contact us.
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basic information
【Target】 ■ Those who have their own equipment and are considering transitioning to preventive maintenance or predictive maintenance. ■ Those who want to forecast the necessary number of spare parts. ■ 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 want 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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【Purpose】 ■ Acquisition and management of defect (failure) data ■ Calculation of failure rates from defect data analysis ■ Quantitative evaluation of equipment operating rates, maintenance cycles, required spare parts, lifecycle costs, etc., through simulations based on failure rates *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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