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Facilitating predictive maintenance with Asset-as-a-Service

Raymon van Dinter is a data scientist at Sioux Technologies and a PhD candidate at Wageningen University & Research.

Reading time: 5 minutes

In a world facing an increasing shortage of technical staff, considerable costs due to downtime and excessive waste due to ineffective maintenance, improved maintenance strategies can help Dutch high-tech stay ahead of the global competition. Unfortunately, collaboration between OEMs and their customers is lacking. Yet, both parties would greatly benefit from better maintenance by sharing asset data.

Effective and cost-effective maintenance strategies are critical for any business that relies on assets. There are several strategies, each with its advantages and disadvantages. Strategies can also be combined in a hybrid approach that strikes a balance between the frequency and impact of failure versus the complexity of implementation.

One such strategy is aggressive maintenance. It aims to improve the product design to avoid maintenance but isn’t always practical for assets deployed in the field. Reactive maintenance is performed only when a component breaks but can result in costly asset downtime.

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