[Explanatory Material] Methods for Collecting and Processing Equipment Data to Enhance the Management Value of Manufacturing Plants
Attention managers and personnel in the manufacturing and quality control departments! We present case studies on improvements utilizing data.
To realize a smart factory, it is considered necessary to achieve "connectivity" through the collection and integration of production equipment data. However, simply collecting data and "connecting" it will not yield the management value that was envisioned. It is important to gather and utilize data that "connects" to value. This document presents examples of improvements utilizing data, focusing on the methods for collecting and processing the data necessary to achieve management value. [Recommended for] ■ Those who want to work on smart transformation but don't know where to start ■ Those who want to start collecting data from a single piece of equipment ■ Those who are struggling with data collection from old equipment ■ Those who have collected data from production equipment but are not seeing management results ■ Those who want to know about case studies of data collection services [Contents] ■ Purpose of this document ■ Expected challenges ■ Solutions to the challenges ■ Service introduction ■ Case study introduction ■ Company overview *For more details, please refer to the PDF document or feel free to contact us.
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Our company is a group of engineers engaged in establishing manufacturing conditions and developing systems necessary for new product development and mass production improvement, primarily in the field of semiconductor manufacturing. We provide consistent support from proposing improvement measures to addressing and following up on issues, by directly confronting phenomena in the field and utilizing statistical methods based on principles and fundamentals. The name of our company, "At Fields," embodies our commitment to contributing to our customers rooted in the field. We promise to be a strong partner in improving our customers' management.