Maintenance and asset management

Companies are recognizing more and more that maintenance and asset management is an important key to high performance value adding manufacturing and products. This trend is mainly driven by the increased requirements on the reliability and availability of machines and equipment with minimized operational cost, such as cost for personnel, material and energy. Additionally ecological aspects are gaining more and more importance.

Fraunhofer IPA has a proven long term experience in the field of maintenance and asset management in dozens of industry and research projects. This enables us to provide you services to develop new and innovative target oriented maintenance concepts and support you to implement it. 

Our service

 

AS-IS Analysis of maintenance and identfication of potentials

It is imperative that maintenance taken by a company meet production requirements. Fraunhofer IPA analyzes maintenance potentials as a foundation for reorganizing and optimizing your maintenance.

 

Reorganizing and optimizing of maintenance

A company’s maintenance management system has to ensure the availability and cost-effectiveness of machines and equipment. Fraunhofer IPA develops holistic concepts and helps you to implement them.

 

Assuring the availability of production systems, machines and equipment

Requirements regarding the reliability and availability of individual machines, equipment and even complete production lines are constantly rising. Fraunhofer IPA identifies potentials in your processes and production systems and helps you improve their performance.

 

Maintenance controlling and key performance indicator systems

A clear picture of costs and performance is the basis for an effective and efficient change management and enables a requirement driven management of maintenance. To achieve this objective, Fraunhofer IPA implements an integrated maintenance controlling.

 

Smart maintenance

With the technologies of Industry 4.0, the availability of information can be significantly improved in manufacturing. Fraunhofer IPA uses this information to develop optimized, predictive maintenance strategies.