Pero AG – digital shop-floor data collection with 4BDE on Individual ERP for industrial cleaning systems

Location: 86343 Königsbrunn, Germany · Industry: Mechanical engineering, plant construction, cleaning technology, metalworking · Products: Parts cleaning systems, industrial cleaning machines, solvent and aqueous cleaning systems · ERP: Individual ERP · Website: http://www.pero.ag · S4P modules: 4BDE

Initial situation

Pero AG, with around 200 employees, required timely and complete capture of its production data to transparently control the order-related manufacturing of its cleaning systems and reliably meet delivery deadlines. The existing Individual ERP environment was to be extended with a capable shop-floor data collection system. Parts cleaning systems, solvent and aqueous cleaning systems are manufactured in project-based single-unit production – an environment where manufacturing progress and deadline control are particularly important.

Challenge

In plant engineering, manufacturing orders, feedback and machine times must be recorded precisely. Manual records were error-prone and did not provide a current view of manufacturing progress. The goal was continuous, digital capture of operating data directly on the shop floor, seamlessly integrated into the existing Individual ERP environment. Especially for complex plant projects with long lead times, reliable feedback from manufacturing was essential to honour delivery commitments.

Solution

With 4BDE, Pero AG gains end-to-end shop-floor data collection that captures order, time and quantity feedback directly at the workstation. The captured data is transferred seamlessly to the existing Individual ERP environment. Operators book times, good and scrap quantities as well as fault reasons at the shop-floor terminal; data flows automatically back into the ERP. Shift supervisors and manufacturing management receive an up-to-date overview of order progress and capacity status.

Results and benefits

With the S4P solution, Pero AG achieves complete capture of production data, greater transparency in the manufacturing process and improved on-time delivery in the production of its cleaning systems. Manual feedback effort was reduced, data quality in the Individual ERP improved and a solid data basis for evaluations and continuous process optimisation in plant engineering was established. Manufacturing progress and capacity status are transparently visible to shift supervisors and management at all times.