SFI - Makes production and management grow together

Shop Floor Integration

Makes production and management grow together

Vertical digitisation

Every company aims to increase their efficiency and gain competitive advantages. Digitized industrial systems have been one of the biggest drivers of these goals in recent years. These solutions form the framework for the Industrial Internet of Things (IIoT). In contrast to the Internet of Things (IoT), the Industrial Internet of Things focuses solely on industrial processes.

The IIoT enables important data to be recorded and deployed in real time, which then provides a basis for reducing costs in production and establishing new business models. Sensors and controllers are the starting point for doing so. Continuous data processing from the sensor to the ERP system melds together the physical and digital worlds.

Without any time delays, systems autonomously report information about their statuses, any required maintenance and servicing, actual material consumption, and more. GIB Shop Floor Integration then further processes this information within its context and automatically triggers follow-on processes in SAP ERP.

Exchanging information in real time minimizes disruptions to production and drastically increases throughput and production capacity.

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The future of Industry 4.0: integration and digitisation of the supply chain

Nadine Rahman and Björn Dunkel underline the key role of the digitalisation of the supply chain.

They talk about Supply Chain 4.0 where advanced analytics, automated decision-making, and the use of cloud-connected sensors come to meet the new demands of a flexible and ever-changing market.

Advantages at a glance

  • Low training costs for users.
  • Comparison and verification of planning in SAP ERP with the real world of the shop floor.
  • Next step/evolution in the automation of processes in SAP ERP through vertical integration.
  • Add-on directly integrated into SAP ERP with points of transfer into established standard processes.
  • Greater sustainability by providing energy requirements (power, water, compressed air, etc.) to calculate CO2 footprints.
  • Fast and simple rollout. Initial pilot projects can be implemented in just two project weeks with minimal support from your internal IT team.
  • Establishment of condition-based and predictive maintenance. This reduces maintenance costs and improves data quality for analyses and KPIs.

Use Case

Replenishment control for acid and caustic tanks

In the filling plant, the reusable glass and aluminium containers are checked for damage and cleaned before filling. The cleaning is done fully automatically in a bottle washing system.

Among other things, hot caustic is used for cleaning, which is pumped from tanks to the washing plant. It must be ensured that production does not come to a standstill due to used-up hot liquor. A level sensor permanently measures the level in the tank (1).

The measured values are transferred to the IoT platform and checked against a defined minimum quantity. If the level falls below the minimum quantity, an event is triggered by the IoT platform and transferred to SFI (2). The event is mapped to an SAP business object in SFI, which is required for the automatic creation of the purchase requisition (BANF).

(3). After the order has been placed, the supplier (4) delivers the goods and the process is completed. In this case, intelligent and easy-to-integrate hardware and software digitises the process, prevents production downtimes and allows the responsible employees to concentrate on their value-adding activities.

Advanced Supply Chain Solutions

Simplify, automate, and optimize supply chain planning with the
#1 native add-in for SAP ERP. One platform, better performance.

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