The term multi-objective optimisation is particularly important in the fields of artificial intelligence, Industry and Factory 4.0 as well as Sustainability and Environment 4.0, where several objectives often have to be achieved simultaneously - for example, when developing new products, using machines or planning processes.
Simply put, multi-objective optimisation means that several objectives are considered simultaneously and attempts are made to fulfil them in the best possible way. This is a challenge because these objectives often contradict each other. A well-known example from industry: a company wants to manufacture a product as cheaply as possible (objective 1), while at the same time offering high quality (objective 2) and protecting the environment (objective 3).
With the help of modern methods, such as artificial intelligence, such conflicting goals can be better resolved. The software calculates many different options and helps to find a good compromise between the objectives. This enables the company to save costs as well as improve quality and sustainability.
In short: multi-objective optimisation ensures that the best possible and balanced decision is made in complex situations with multiple objectives.
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