Sensor Based Maintenance at PFW

Increasing efficiency through predictive maintenance

PFW Aerospace, a leading solution provider to the manufacturing aerospace industry, has converted the maintenance of its machinery to predictive, sensor-based maintenance using SAP technology.

18 months from initialization to implementation.

40 machines covered by performance based maintenance.

6000

miles driven expected to be avoided each year.

"Evora’s experts also supported us with the basics: data collection, analyzation and bringing it into models, which then helped us readjust our maintenance intervals and realign them with the real-life conditions. The cooperation with Evora was seamless, without any barriers, we work together as one company. We broke new ground in many places. It was always a bit of inventing new things, discovering new things and combining new things to achieve a viable solution."

Michael Schnorbach

VP IT, PFW Aerospace and HUTCHINSON Germany

Real case

What PFW had to solve before sensor based maintenance

Maintenance frequency

PFW needed to know whether machines were maintained at the right intervals.

Machine data gap

Sensor data had to be connected with SAP maintenance processes.

Real condition insight

Maintenance intervals needed to reflect real machine conditions.

Future use cases

The setup had to support new cases such as vibration, anomalies and energy use.

Our point of view

How PFW connected machinery data
with SAP maintenance

1

Sensor data capture

Machine data is collected from selected equipment.

2

Data modeling

Evora helps analyze the data and bring it into models.

3

SAP IAM setup

SAP IoT, Asset Central and Predictive Asset Insights connect the data flow.

4

Interval alignment

Maintenance intervals are adjusted to real machine conditions.

5

Productive operation

Evora supports rollout, operation and new use cases.

The Transformation

From fixed intervals to sensor based SAP maintenance

Speak with an expert

Every inquiry reaches the right specialist.

Sales Americas

Sales EMEA

Sales APAC

Request a meeting

Tell us your challenge — right expert within 24h.

GDPR compliant. Data never shared.

Request a meeting

Tell us your challenge — right expert within 24h.

GDPR compliant. Data never shared.

FAQ

Questions enterprise leaders ask before they commit.

What was the goal of the PFW sensor maintenance project?

PFW wanted to understand whether maintenance was being performed at the right frequency. The project used machine data and SAP technology to help realign maintenance intervals with real operating conditions.

Which SAP technologies were used?

The setup used SAP IoT, SAP Asset Central and SAP Predictive Asset Insights as part of a sensor based maintenance approach.

What role did Evora play?

Evora supported PFW from concept design and technology consulting to data collection, modeling, implementation, rollout and support in productive operation.

What was the first maintenance use case?

The first step focused on runtime based maintenance for machinery, because it offered strong economic value and created the base for further predictive maintenance use cases.

What results can be stated safely?

The available information states 40 machines in performance based maintenance, around 100 service calls per year before optimization and an expected saving of 25 service calls per year.

Can we claim reduced maintenance cost as achieved?

Not as a confirmed KPI. The source describes reduced maintenance spend as an expected benefit. Use expected or anticipated unless PFW confirms achieved results.

Increasing efficiency through predictive maintenance

18

months from initialization to implementation.

40

machines covered by performance based maintenance.

6000

miles driven expected to be avoided each year.

Michael Schnorbach

VP IT, PFW Aerospace and HUTCHINSON Germany

What PFW had to solve before sensor based maintenance

Maintenance frequency

Machine data gap

Real condition insight

Future use cases

Our point of view

How PFW connected machinery data with SAP maintenance

1

Sensor data capture

2

Data modeling

3

SAP IAM setup

4

Interval alignment

5

Productive operation

From fixed intervals to sensor based SAP maintenance

Speak with an expert

Every inquiry reaches the right specialist.

Sales Americas

Sales EMEA

Sales APAC

Request a meeting

GDPR compliant. Data never shared.

Request a meeting

Tell us your challenge — right expert within 24h.

GDPR compliant. Data never shared.

FAQ

Questions enterprise leaders ask before they commit.

More Questions?

How PFW connected machinery data
with SAP maintenance