Additive manufacturing (AM) is an ever-evolving technology used in the shopfloors of a variety of industries, such as aerospace, automotive or turbomachinery. They are all depending on production capability and reliability. With the growing integration of AM into production environments, it is important to consider how the metric of operational availability can be applied here. The EOS white paper "Operational Availability" describes the framework conditions based on the guideline "VDI 3423 Technical availability of machines and plants" of the VDI Verein Deutscher Ingenieure e.V. (Association of German Engineers).
Unplanned machine downtime and outages are not only frustrating, but also have an impact on their business. This is one of the largest causes for loss in productivity, is causing delays resulting in unhappy customers, and lost revenue. Main reasons for unplanned downtime are hardware failures, lack of preventive maintenance or the non-use of original (OEM) parts & consumables. In addition, 50% of the average machine potential is untapped due to inadequate training. That’s why operational availability is not only influenced by the machine itself but also by its service and operation.
When talking to customers about operational availability, you also often hear the term "OEE," which refers to the overall effectiveness of the equipment. This is the gold standard for measuring manufacturing productivity. Simply said: It identifies the percentage of manufacturing time that is truly productive. An OEE score of 100% means you are manufacturing 100% Quality (only Good Parts), 100% Performance (as fast as possible), and 100% Availability (no Stop Time). This affects the whole production process whereas operational availability quantifies the contribution of the machine supplier.
In our white paper Operational Availability: The definition of Uptime as a Service Feature, Angelika Cortazzo, Business Manager Global Service, describes how to approach operational availability and what to consider.
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