WeASSIST for production managers

Get the most out of your production!

As a production manager, you need clear and meaningful production data in order to act successfully and ensure the quality and efficiency of daily production processes.

Monitoring production processes requires quick reactions to disruptions such as machine downtimes or quality problems. Work processes must be optimised continuously and flexibly adapted to bottlenecks.

Coordinating teams and monitoring KPIs such as cycle times and reject rates requires constant attention. At the same time, compliance with health, safety and environmental regulations is essential, especially in stressful phases. In addition, close coordination with procurement, maintenance and logistics requires quick action to ensure material and machine availability. Despite all obstacles, meeting delivery deadlines remains the top priority.

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Use cases

With WeASSIST, you have all the relevant key figures, reports and analyses in one central dashboard. Make data-based decisions, increase the efficiency of your processes and keep production performance transparent and under control at all times.

Identify and specifically monitor bottleneck machines

Record, display and optimise set-up times

Analyse machines with the most faults

Analyse the type and number of faults, that occur on the machine

View the status of the entire production at any time

View the status of the entire production from any location

Analyse and compare the production performance of machines/workstations (shifts) over time

Assign the right person to the most important problem area

Daily review and categorisation of the previous day's production performance

Overview: use cases

WeASSIST features

Gain a solid foundation for data-driven decisions with process data collection. Analyse trends, identify potential for improvement and implement targeted measures to increase efficiency.

With the customised functions of WeASSIST, you can gain a solid basis for data-based decisions and thus analyse trends, identify potential for improvement and implement targeted measures to increase efficiency.

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