From December 2017, MOL and MOL Information Systems, Ltd. (MOLIS) are starting multi-dimensional analysis of the causes for incidents and problems on company- operated vessels.
The company will use “IBM SPSS Modeler”, a data analysis software that provides prospective analysis from mass volume of data to support better decision making.
The group has conventionally aggregated incidents and problems data reported by its operated vessels to “visualize” safe operation. From now on, it will develop more effective measures to prevent incidents and verify the effects by analyzing correlations and causal relationship of data from multiple sources (for example, operation data, crewmember data, vessel inspection data, and so on).
In addition, it will build a new analysis method using the text mining function, for some elements of unstructured data, such as near misses gathered from crewmembers.
Text mining function retrieves useful information by dividing data comprised of documents by word and paragraph, and analyzing the correlation of frequencies of words, frequency of commonly used words, and time sequence.
Prior to this analysis, the group held a three-month trial starting in July 2017 and built analysis models that verify causal relationship of information on crewmembers, such as downtime problems and years of onboard experience.