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The terminal entrance at Amsterdam Airport Schiphol.

Schiphol Airport · Airports

Schiphol turns early warnings into overnight maintenance.

SAM4 supplied early fault information about the baggage-handling equipment. Schiphol’s team used it to create work orders and schedule repairs at night, keeping the timing of the intervention in their hands.

9 of 9developing faults detected during the initial trial
12 monthsduration of that trial
At nightwhen the team planned the maintenance work
AssetConveyor
IndustryAirports
Key result9 of 9 faults detected
The maintenance question

Planning baggage-system maintenance around airport operations

Schiphol needed to improve the reliability of its existing baggage-handling lines. The team sought condition information it could turn into maintenance work before a breakdown interrupted the system.

The useful output was an early finding the team could turn into a work order for the overnight window.

The alert, data and decision

How Schiphol used the findings

Each team makes an active contribution to the maintenance response.

SAM4 and Samotics engineers

Provide information on developing faults in the monitored equipment. Support asset selection, installation and platform training so the team can use the findings.

Schiphol’s maintenance team

Translate the early finding into a work order. Plan the job for the overnight window and carry out the work before the fault becomes a breakdown.

Follow the engineering decisions

From an early finding to overnight work.

What SAM4 provided

Early information about the affected equipment.

The requirement
Schiphol wanted actionable information on conveyor condition and enough warning to plan intervention. Its requirements included detecting faults at least five days before failure.
The findings
Across the initial 12-month trial, SAM4 detected 9 out of 9 developing faults. The published breakdown includes bearing, belt, gearbox and balance-related issues.
The service around it
Samotics supported equipment selection, installation guidance and training on the platform.

What the engineering team did

Schiphol turned the findings into timed work orders.

Create the job
The customer reports that early detections enabled the team to create work orders in time.
Choose the window
The team scheduled the work at night to avoid interruptions to the baggage system and passengers.
Use the trial to decide the rollout
Based on the trial results, Schiphol decided to expand SAM4 across its production system.

What the information enabledThe detection requirement describes the warning Schiphol sought. The customer’s account establishes the practical use: preparing work orders and choosing the overnight maintenance window.

Fault types detected and reported results from Schiphol’s initial 12-month trial. Original graphic from the published case.
Fault types detected and reported results from Schiphol’s initial 12-month trial. Original graphic from the published case.

Open the original chart at full size

“Early detections enable us to create timely work orders, so that issues are dealt with at night”

Marcel den Blanken
Schiphol baggage services
Excerpt from the published customer case
The reported outcome

Scheduling the work overnight

Schiphol reports that the fault information allowed maintenance to be scheduled before breakdowns. The team planned work at night and used the initial trial results to decide on wider adoption.

9 of 9 Developing faults detected in the initial 12-month trial.

This result belongs to the reported trial and its monitored equipment. The maintenance benefit described by the customer was the ability to prepare work orders and carry out the jobs during the overnight window.

Read the technical detail and original account

About Amsterdam Airport Schiphol

Amsterdam Airport Schiphol is the third largest airport in Europe, serving over 70 million passengers each year. With the ambition to be the go-to airport for Europe’s travelers, airlines, and logistics service providers alike, Schiphol invests in technology to improve passenger experience, safety, and reliability.

One of Schiphol’s key priorities is improving the capacity and reliability of its baggage handling systems. Day in, day out, a constant stream of passengers arrive with large volumes of baggage. Since physical constraints limit the potential to expand the baggage handling system, Schiphol focuses on maximizing the efficiency and reliability of its existing baggage handling lines.

100% of incidents detected

During an initial 12-month trial period, SAM4 achieved a perfect score, detecting 9 out of 9 developing faults well in advance. “Early detections enable us to create timely work orders, so that issues are dealt with at night, without interruptions to the system and our passengers,” says den Blanken.

Schiphol success story failure modes circle diagram

An industry where downtime is unacceptable

“Schiphol has a large number of critical assets and downtime is unacceptable,” says Marcel den Blanken, one of Schiphol’s baggage service managers. “That is why we were looking for a condition monitoring solution to help us improve the reliability and availability of our critical equipment.”

“To effectively deal with our challenges, we created an extensive list of requirements for the monitoring solution,” says Den Blanken. “Samotics’ SAM4 solution ticked all our boxes: It could provide actionable information about the state of our conveyors, detect faults at least five days before failure, was easy to install and maintain, and was scalable.”

Schiphol success story conveyor belt with baggage

From installation to monitoring in four weeks

Samotics provided full support to Schiphol during the onboarding process, helping identify the most appropriate equipment to monitor, training on the SAM4 platform, and giving clear guidance for installation. “Because SAM4 installs inside the motor control cabinet, we were able to deploy it across a large number of assets at minimal cost,” says Pieter Bakker, Baggage Service Manager at Schiphol. Installation could also be done quickly without any major infrastructure changes and fit into Schiphol’s operational procedures.

Once the SAM4 hardware was installed, a continuous flow of high-quality data was processed on the SAM4 platform. It took four weeks to complete the automated learning cycle for each monitored asset. After this stage, SAM4 was ready to detect developing faults around the clock.

Schiphol success story sam4 process chart

What's next

Based on the results of the trial period, Schiphol is expanding the use of SAM4 across their production system. “The real-time information SAM4 provided allowed us to schedule maintenance before breakdowns occurred,” says Bakker. “At first I was a bit sceptical about SAM4's ability to detect failures, but the results speak for themselves: It just works.”

Discuss monitoring for your equipment

Start with the equipment and the maintenance question. Discuss the alert information, supporting measurements and engineering support your team would need to make a substantiated call.