株式会社ウェーブフロント 本社 Official site

Data mining and IoT technology-based equipment maintenance and manufacturing quality control system.

Introducing the positioning of each product in the solution!

The document titled "Data Mining and IoT Technology Utilization for Equipment Maintenance & Manufacturing Quality Control System" introduces the equipment maintenance and manufacturing quality control system developed by Wave Front Co., Ltd., which engages in the development and sales of software for electronic computers, analysis using software, design, and consultation. It clearly presents the positioning of various products such as the calendar-type equipment maintenance & manufacturing quality control system "FLiPS" and the reliability analysis and optimization system "AWB/RWB." [Contents] ■ Positioning of each product within the solution and the image of each product ■ Positioning of each product within the solution ■ Positioning of each product within the solution and data exchange between products *For more details, please refer to the catalog or feel free to contact us.

Related Link - http://www.wavefront.co.jp/

basic information

For more details, please refer to the catalog or feel free to contact us.

Price range

Delivery Time

Applications/Examples of results

For more details, please refer to the catalog or feel free to contact us.

Data mining and IoT technology-based equipment maintenance and manufacturing quality control system.

OTHER

Examination of LCC and maintenance methods based on failure information.

PRODUCT

Support service for building machine records.

PRODUCT

Proposal materials for customers considering IoT and predictive maintenance.

TECHNICAL

Failure timing prediction using vibration data

TECHNICAL

Recommended products

Distributors

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.