IIC Journal of Innovation 9th Edition | Page 42

Trustworthiness Model Representation
There may be additional options to choose from depending on the situation. In this section, we show how the Trust Score and the Trust System influence the business decisions, and also the business outcomes.
Workstation Setup
Use Case 1: Trustworthiness in a Smart, Connected Factory
REMOTE FACTORY MANAGEMENT
A senior team remotely manages the manufacturing of elevator parts in an overseas factory. The team is also responsible for managing several other geographically distributed factories. Cameras and sensors are used to collect data for the following purposes:
A. Identify workers at a specific workstation
B. Observe the manufacturing process at each workstation C. Measure the production efficiency D. Manage the safety and security of the factory floor
COLLECTION OF DATA
The goals A through D above are achieved by analyzing the camera video stream with the sensor data. The cameras capturing the workstation video feed have to be available at all times as do the sensors and the network that they are connected to. Unreliable data( whether video or sensor) impedes efficient remote monitoring. Inconsistent data makes it impossible for the management to monitor the product quality or to make continuous improvements to achieve their business goals.
Figure 7: Trust computation involves each component of the workstation
Figure 7 shows an example of a workstation in this elevator parts factory. Cameras( 5 or 6) mounted at each workstation capture a continuous video stream of the set of tasks related to that workstation. A worker badges in and out at the start and end of their shift at the workstation. Sensors attached to drill bits and cutting machines send data that is used to measure different aspects of the production process and the state of the instruments at each workstation.
TRUST COMPUTATION FOR THE MANUFACTURING PROCESS
In this use case, each camera, sensor, application, network connection and worker schedule, among others, possesses observed values( attributes) that can be used as input into the Trust System to calculate an overall Trust Score. If any one of those metrics changes at any instant, the Trust System
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