Quantifying, tracking, and anticipating risk at a manufacturing facility, taking deviation type and staffing conditions into account

A system comprising:

• a risk modeling engine configured to identify correlations between staffing conditions of a manufacturing facility and one or more deviations from existing manufacturing procedures based on an analysis of deviation data and historical operational data, the deviation data comprising one or more preexisting deviation reports, each of the one or more deviation reports comprising a textual description of a deviation from existing manufacturing procedures, the historical operational data including information related to historical staffing conditions of the manufacturing facility during a previous period of time, the historical staffing conditions including a total number of employees of the manufacturing facility during the previous period of time, the risk modeling module further configured to generate a risk data model based at least in part on the identified correlations between the staffing conditions and the one or more deviations from existing manufacturing procedures, the risk data model including a plurality of risk metrics related to the identified correlations;
• an interface module configured to obtain operational data associated with a manufacturing facility, the operational data including information related to staffing conditions of the manufacturing facility, the interface module further configured to cause presentation of a user interface on a client device;
• a risk scoring module, comprising one or more processors, configured to access the risk data model corresponding to the manufacturing facility, the risk scoring module further configured to calculate, using the risk data model, a risk score based on the operational data, the risk score providing a measure of risk associated with the manufacturing facility, the user interface including a display of the risk score;
• and
• a classifier module configured to determine a deviation type of each of the one or more deviations from existing manufacturing procedures based on an analysis of the textual description included in each of the one or more deviation reports, the user interface further including a breakdown of the one or more deviations from existing manufacturing procedures by deviation type.

A machine-readable storage medium embodying instructions that, when executed by at least one processor of a machine, cause the machine to perform operations comprising:

• identifying, by one or more processors of a machine, correlations between staffing conditions of a manufacturing facility and one or more deviations from existing manufacturing procedures based on an analysis of deviation data and historical operational data, the deviation data comprising one or more deviation reports, each of the one or more preexisting deviation reports comprising a textual description of a deviation from existing manufacturing procedures, the historical operational data including information related to historical staffing conditions of the manufacturing facility during a previous period of time, the historical staffing conditions including a total number of employees of the manufacturing facility during the previous period of time;
• generating a risk data model based at least in part on the identified correlations between the staffing conditions and the one or more deviations from existing manufacturing procedures, the risk data model including a plurality of risk metrics related to the identified correlations;
• obtaining operational data associated with a manufacturing facility, the operational data including information related to staffing conditions of the manufacturing facility;
• accessing the risk data model corresponding to the manufacturing facility;
• calculating, using the risk data model, a risk score based on the operational data, the risk score providing a measure of risk associated with the manufacturing facility;
• determining a deviation type of each of the one or more deviations from existing manufacturing procedures based on an analysis of the textual description included in each of the one or more deviation reports;
• and
• causing presentation of a user interface, the user interface including a display of the risk score and a breakdown of the one or more deviations from existing manufacturing procedures by deviation type.