Method and system for automatic conduction of a process failure mode and effect analysis for a factory

A system comprising:

• a network cloud infrastructure;
• a terminal of a product owner;
• a plurality of databases of a factory;
• and
• a central data storage,
• wherein the network cloud infrastructure is configured to automatically conduct a process failure mode and effect analysis for the factory adapted to produce a product in a production process using a meta model stored in the central data storage, the meta model comprising abstract factory model elements modeling an abstract factory including one or more service declarations each having constraints and parameters that are independent from any equipment and set for at least one recipe step for a recipe such that when the recipe is initiated the parameters need to be set, the one or more service declarations modeling abstract services across different factories,
• wherein each service declaration comprises failure mode declarations for different failure modes,
• wherein the stored meta model comprises factory related model elements addressing service declarations within equipment services, and
• wherein each equipment service comprises combinations of failure mode declarations of its associated service declaration and occurrence values,
• wherein the network cloud infrastructure is adapted to load and process meta models from the plurality of databases of the factory into the central data storage in response to a recipe received from the terminal of a product owner.