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As a manufacturer you might be interested in switching to additive manufacturing, but you are not sure if this is a good idea. You might be struggling with several practical questions. To bring more clarity, Sirris has made a relatively simple tool: the 'AM Decision Tree'.

Digitising can help you manage the rising complexity in your production. On the other hand, launching a digitisation project also brings new challenges. Before digitising, simplification and optimisation can be a first step in the right direction.

Autonomous mobile robots (AMRs) present a large potential when it comes to automating logistic movements on the production floor. However, how can a company assess whether automation is a good idea and how it can be optimally deployed? Sirris has developed a tool which supports companies wishing to ...

Errors in machined parts are closely associated with errors in the machine tool, and usually they are identified as deviations of the actual cutting point from the nominal or commanded position or trajectory in the workspace. For the evaluation and measurement of machine tool accuracy, it is deemed ...

In the third week of September it was that time again: time for the 2023 EMO trade fair, the biennial high mass for the machining industry, to open in Hanover. What follows is a short report of what we could spot for you.

Predicting future sales figures has an important role in production planning, determining stock levels and making decisions about new investments. Numerous forecasting methods have been developed over the years, ranging from very simple ones to advanced methods based on artificial intelligence. The ...

Friction and wear play a major role in modern society. The operation of many mechanical systems, including vehicles, machines and consumer goods directly depends on appropriate friction and wear properties. Energy and raw material use can also often be directly linked to the losses that occur due to ...

Today, operators are often dealing with machine sensors and event logs in a rather passive way: reading failure notifications, performing post-mortem analyses, etc. A more active way could enable them to better understand the behaviour of the machines, recommend adjustments or predict failures ...