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Smart Factory Elements

A model for innovative production IT

The challenges facing production have grown enormously. These challenges are leading to increased complexities like a high product diversity, short delivery times, fast process changes, smaller batch sizes up to batch size 1. In times of Industry 4.0, this is clearly a case for the Smart Factory - which in turn needs certain processes and functions to meet the growing demands. This is a job for the Smart Factory Elements.

The Smart Factory Elements make up a control loop.  According to this control loop, production is planned (Planning & Scheduling) based on specifications from different sources and a plan is then implemented (Execution). The data collected is analyzed (Analytics) to make forecasts (Prediction). Subsequently, the findings from analytics and prediction flow back into planning. The Industrial Internet of Things (IIoT) supports this cycle by collecting and providing data. 

A large part of these tasks can nowadays be mapped with an MES such as HYDRA - for the others, new products will gradually be introduced onto the market.

  • Planning & Scheduling

    ... contains typical tasks of the work preparation and planning: 

    • Orders and operations
    • Resources and employees
    • Quality assurance
    • Maintenance activities
    • Material and energy use

    Application example in MES HYDRA:

  • Execution

    ... ensures that the specifications are implemented and documented efficiently and correctly: 

    • Production control
    • Monitoring process quality
    • Process interlocking
    • Online monitoring
    • Early detection of deviations

    Application example in MES HYDRA:

  • Analytics

    ... uses statistical methods and innovative algorithms to prepare collected data for:

    • KPIs
    • Performance and correlation analysis
    • Root Cause Analysis
    • Self service analytics
    • Machine learning based on Big Data.

    Application example in MES HYDRA:

  • Prediction

    ... enables the prediction of events based on executable models and artificial intelligence.  Typical applications are:

    • Predictive quality
    • Prediction of dates
    • Predictive Maintenance
    • Projection of material ranges

    Application example in MES HYDRA:

  • Industrial Internet of Things (IIoT)

    ... connects the operator and the real world of production with the digital image of the Smart Factory by means of networking and edge computing.  The following applications are used:

    • Data transfer from IIoT sensors
    • Digital machine connections
    • Manual data collection
    • Providing information to the shop floor
    • Flexible operator guidance

    Application example in MES HYDRA:

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