Fujitsu Releases Riskmining Navigator, Proactive Risk Solution
OREANDA-NEWS. April 20, 2012. Fujitsu Limited and Fujitsu Kyushu Systems Limited (FJQS) today announced the release of Riskmining Navigator, a software solution targeted primarily to manufacturers. The software analyzes reports of past manufacturing and design trouble that occurred on the shop floor and helps to proactively prevent product malfunctions, operator errors and accidents by visualizing trouble occurrence trends and causes.
By analyzing the causes of trouble from massive volumes of data and visualizing occurrence patterns, the new solution gives managers a heightened awareness, while also offering support in developing and implementing effective countermeasures during product design. Applying these techniques to design, manufacturing, marketing and other areas can help proactively prevent trouble, thereby increasing product quality, operator safety and marketability.
The new product employs technologies developed by Fujitsu Laboratories Limited, including Visual Text Mining technology, which represents the content of a large volume of trouble reports as a network map, and Risk-scenario Analysis technology, which automatically constructs a trouble occurrence model based on the text of reports.
In the manufacturing sector, product trouble can inflict serious damage on both business activities and business continuity by tarnishing social credibility, hurting sales and exposing liabilities. To guard against trouble caused by issues such as product malfunctions and operator errors or accidents, it is important to effectively take advantage of information regarding similar trouble that occurred in the past. But due to the sheer volume of reported data, coupled with the fact that reports are usually stored in written (text) format and must be individually read, in many cases it is impossible to adequately take advantage of this data.
In light of this, Fujitsu and FJQS have developed Riskmining Navigator, which merges and utilizes unstructured data(1) and structured data(2) from previously collected data, analyzes and assesses risk factors and trends, and helps in developing countermeasures.
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