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 AWB (Availability Workbench) can calculate the operating rates and lifecycle costs of production lines and production equipment based on equipment information (Note 1), and the following effects can be expected: ■ Expected Effects 1. Calculation of the expected operating rate as a production line 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 of vulnerable areas in production equipment and production lines and corresponding measures. Note 1: Examples of input equipment information - Degradation curves (Note 2) - Items related to maintenance - Required personnel - Operation 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 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; however, there are methods available to compensate for such data shortages, so please feel free to consult with us. Additionally, we have integration capabilities with systems such as SAP and MAXIMO, so please consult with us as needed.
Price range
P5
Delivery Time
※It depends on whether it is a commissioned project or a software purchase.
Applications/Examples of results
The following industries have been implemented as case studies: - 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 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.