Systems and methods for predicting and displaying site safety metrics are provided. Some methods can include assigning respective risk index values to each of a plurality of devices, storing the respective risk index values in a memory device, identifying respective faults of each the plurality of devices in fault, retrieving, from the memory device, the respective risk index values of each of the plurality of devices in fault, prioritizing the respective faults of each of the plurality of devices in fault based on the respective risk index values of the plurality of devices in fault, and transmitting a notification message indicative of the prioritized respective faults.

A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes obtaining operational data associated with a manufacturing facility. The method further includes accessing a risk data model corresponding to the manufacturing facility, and calculating a risk score based on the current operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score to provide a user with a measure of risk at the manufacturing facility.

For determining a safety step in an automation network with subscribers the data and process-specific links between the subscribers in the automation network are automatically determined by means of a configuration-detecting module. Further the subscriber-specific safety parameters are determined. The safety step in the automation network is calculated by means of an algorithm which connects the determined data and process-specific links of the subscribers in the automation network and the determined subscriber-specific safety parameters.

Embodiments are directed towards automatically identifying, configuring, monitoring, controlling, managing, and maintaining a machine, via collection computers in communication with the machine components. The components include ID Tags that store identification data, such as a component type and a unique identifier. Interrogation of the ID Tags enables the automatic identification and configuration of the machine. Data provided by the sensors, during usage of the machine, enables the remote monitoring and managing of the usage, as well as maintaining of the machine. Machine maintenance includes automatically predicting and scheduling the replacement of various components. Embodiments provide suggestions for suppliers of replacement components, as well as suggestions for alternative components that may be better optimized for the configuration and usage of the machine. Heuristics and crowd-generated data, via machine user social networks, inform predictive analyses employed to automatically identify, configure, manage, operate, and maintain the machine.

A control system and control method for controlling a process performed by production equipment. The control system has a first interface configured to obtain, from a data provisioning module, production control data for operating the production equipment wherein the production control data relates to operating instructions configured to control the production equipment to automatically process a plurality of physical items and their respective components. It further includes a risk evaluator module configured to determine for each item a total risk value based on partial risk values associated with the respective components, and further configured to detect a change in the determined total risk values. It further includes a control unit configured to: initiate, via a second interface, execution of the operating instructions for manufacturing a particular item having the lowest total risk value during a first operating time interval; initiate termination of the execution of the operating instructions for processing the particular item if the change in the determined total risk values results in an alternative item having the lowest total risk value; and initiate, via the second interface, execution of the operating instructions for processing the alternative item during a second operating time interval.