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Chapter 2

Optimize service operations with proactive and predictive service

Deliver proactive and predictive service through continuous monitoring

Predictive and smart maintenance and remote management provide end-to-end lifecycle management of production assets. These capabilities enhance operations and maintenance, helping companies optimize reliability, extend product life, and reduce cost.

Smart Maintenance: the HSO approach

Big Data and AI have been hot topics for quite a while, but as is often the case: brin-ging them in practice is more difficult. Some organisations have been gathering data for years. However, very often, they do not have the appropriate software to interrogate data in-depth.

HSO works with customers to find out exactly what the impact of AI will be in their company. Which use cases can you start working on immediately and what will be the expected impact on your business? What do you need and what does it deliver? We translate abstract technology into concrete applications, that you can start using immediately.

The good news? You don't need a new ERP system to get value out of your data. The Microsoft Data and AI cloud enables secure access, harmonization and integration of your data. so you can actually create the predictive and smart maintenance solutions you are looking for.

Opportunities for connected services at Stolt Tankers

“Our sector is fairly conservative, but I am convinced that data and automation can make a difference. Our mission is to make ships smarter. And not so much with the help of more IoT, but rather by using company data, information from the business processes that we already have and, for example, information from the shipyards where the ships were built.”

Berend Vree, Reliability & Performance Manager bij Stolt Tankers

Benefits of proactive and predictive service operations

  • Monitor assets in real-time and detect service issues before they occur
  • Automatically create and schedule work orders based on IoT triggers
  • Enable “just-in-time parts” to reduce expenses related to inventory management
  • Avoid service calls by remotely detecting and proactively resolving issues, before customers are aware, using IoT sensors
  • Support rapid innovation through a unified analytics experience to rapidly develop, train, and fine-tune machine learning models