Calculate equipment utilization rates from MTBF/MTTF and actual operating information! It is also possible to analyze how the utilization rate changes when switching to new equipment!
The Availability Workbench (AWB) can calculate the operating rates and lifecycle costs of production lines and equipment based on equipment information (Note 1), and the following effects can be expected: ■ Expected Effects 1. Calculation of the expected operating rate for production lines when introducing new equipment. 2. Setting targets for each piece of equipment to meet the operating rate goals established in the production plan. 3. Estimation and response to vulnerable areas in production equipment and production lines. Note 1: Examples of input equipment information - Degradation curve (Note 2) - Maintenance-related items - Required personnel - Operational costs, etc. Note 2: Can also be substituted with MTTF/MTBF or failure performance data.
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basic information
When conducting evaluations like the examples we introduced, it can be broadly divided into two steps. 1. Implementation of commissioned evaluations by our company 2. Software implementation We often receive inquiries regarding insufficient data when conducting evaluations, but even in such cases, we have methods to compensate for data shortages, so please feel free to consult us. Additionally, we have integration functions with systems such as SAP and MAXIMO, so please consult us as needed.
Price range
P5
Delivery Time
※It depends on whether it is a commissioned project or the purchase of software.
Applications/Examples of results
The following industries have been implemented as a track record: - Plant design/maintenance - Water supply and sewage - Electricity - Petrochemicals - Aerospace - Automotive and other assembly industries
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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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