• Utilization of AI in Manufacturing/Maintenance Require Discretion

AI (artificial intelligence) has mainly used for web marketing and other commerce-related matters, against a backdrop of big data.  Currently, attempts of utilizing AI have been made in the areas of manufacturing and maintenance, but the progress has been slow, because higher accuracy is required to handle data and analyzed results compared with commerce.

• With Many Challenges Ahead, Slow Progress in Utilizing AI in Failure Prediction

AI has particularly been paid attention in the field of failure prediction among various manufacturing and maintenance tasks, though there are many issues to be solved at the moment.  To be specific, AI has such challenges as “accuracy”, “correlation”, and “individuality” for using it in the field.  Since failure prediction solutions are still in the sprouting period, such problems are expected to be solved as the studies develop.

• Development of Failure Prediction Expected to Make CPS (Cyber-Physical System) Come True

The manufacturing industry is sure to go in the direction of CPS (Cyber-Physical System), a concept that closely associates with the real world and cyberspace.  In order for such a concept to take shape, modeling of physical phenomenon and solving the mysteries of the mechanism of such phenomenon is needed.  Interestingly, most of such mysteries are supposed to be made clear through the studies of failure prediction.  Therefore, probing into failure prediction can lead to significant meaning in the mid-to-long term perspectives.

• Figure 1: Degree of Accuracy that Manufacturers Allow Introduction of Failure Prediction System