3.1. Applications for Manufacturing Operations Management (MOM)

The essential principle of an Industrial IoT platform is the strict separation of acquisition systems and the applications operating on their data. While machine data collection and production data collection are carried out in the platform itself, all applications are supplied with the acquired data via the application programming interface.

Services of an Industrial IoT Platform	Data is supplied or taken in
Machine Data Collection	Sub-resources of workplaces
Order Data Collection	Sub-resources of operations
Process Data Collection	Sub-resources of devices
Recording of Energy Consumption	Sub-resources of devices
Recording of Work Activities	Sub-resources of staffMembers
Track and Trace	Sub-resources of operations and devices
Distributed Numerical Control (DNC)	documents

FORCE Bridge API supports all applications available for manufacturing operations management. These are not only the applications that were formerly part of an MES, but also the latest and future cutting-edge technologies for smart manufacturing. The following table gives an exemplary overview of some typical applications.

Application	Description
Shop Floor Visualization	Online visualization of the machines, manual workplaces and production progress
Performance Analysis	Reports, Dashboards, Key Performance Indicators
Alerting	Alerting about events or undesired states on mobile apps or via SMS or e-mail
Graphical Planning Board	Graphical planning board for detailed order scheduling or labor capacity planning
Dynamic Order Scheduling	Detailed order planning which continuously determines the optimal planning scenario taking into account all currently available information.
Proactive Production Control	Production control that continuously provides a forecast for actual order processing based on the original detailed order planning, taking into account all currently available information. If critical delays or unforeseen events occur, preventive measures are proposed.
Dynamic Labor Capacity Planning	Labor Capacity Planning which continuously determines the optimal planning scenario taking into account all currently available information.
Applications for optimization of planning relevant standard values or assumptions in order to improve planning stability.	Applications from the field of machine learning that provide forecasts for setup and processing times by analyzing the recorded historical data
Predictive Maintenance	Applications from the field of machine learning that provide predictions of imminent malfunctions by analyzing the recorded process data
Proactive Quality Assurance	Applications from the field of machine learning that warn of imminent quality losses by analyzing the recorded process data
Production Data Management	Management of production folders and their synchronization with the product lifecycle management systems

FORCE Bridge API enables software developers to develop applications without the knowledge of complicated domain-specific contexts and completely independent of other applications. The API’s resource design ensures that no application needs to have knowledge of any other application. Complex events inform applications when the information provided by them needs to be updated.