Maximizing operational efficiency and minimizing costs through maintenance cycle calculations. Supported by experts in equipment management and failure analysis.
The "Availability Workbench (AWB)" is software that calculates the failure probability and lifespan of equipment based on equipment configuration, work performance, and failure history information, supporting maintenance-related tasks. It can seamlessly integrate with various analysis tools, ERP, and EAM, allowing for calculations from failure rates to lifecycle costs. 【Targeted Tasks】 ■ Evaluation of equipment failure characteristics and lifespan under in-house installation environments and usage conditions ■ Calculation of quantitative values to determine maintenance cycles ■ Verification of the comprehensiveness of tasks and maintenance cycles ■ Optimization of combinations of various tasks ■ Consideration of costs, operational rates, necessary spare parts, and required personnel due to maintenance implementation ■ Determination of maintenance methods based on risk ■ Creation of medium- to long-term maintenance plans based on LCC evaluation *You can view materials introducing the functions via the download button below. Please feel free to contact us with any inquiries.
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【Track Record】 We have a proven track record in a wide range of fields, from infrastructure (such as power generation, telecommunications, sewage systems, and railways) to aerospace, plants, factories, automotive, semiconductors, healthcare, retail, finance, and field services. <Specific Examples> ◎ Consideration of preventive maintenance in automotive-related factories ◎ Examination of maintenance methods and cycles to maximize operational efficiency in power generation facilities ◎ Review of maintenance cycles for air traffic control equipment ◎ Conducting RAMS analysis in railways ◎ Calculation of equipment failure characteristics and validation of work execution in utility facilities *Please refer to the accompanying materials. Feel free to contact us with any inquiries.
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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 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.
