Within the industrial world, leaders are defining their journey to autonomous manufacturing. Manufacturers are focusing on digitization strategies that will help to drive efficiency across their plants. As data is increasingly aggregated across manufacturing lines, the reality of autonomous lines is likely to be reached in the next five years.
The future of industry 4.0 is definitely much more flexible. We’re at a point where artificial intelligence (AI) systems are able to correct at the highest rate possible, which is ahead of real-time, to produce the best quality at the lowest cost, without the need for a human expert.
The two most important things manufacturers can do to prepare production systems to achieve the goal of autonomous manufacturing are:
- Identify and save production data. As soon as a plant can start saving production data, it opens the opportunity to use that data to optimize the future. That’s the single most important thing manufacturers can do now if they haven’t yet started.
- Improve the quality system. To improve quality, it’s important to ensure that the details of the defect are recorded (type, location, and description), and not just the fact that a defect has occurred. This will allow AI to automatically diagnose the root cause of the problem and to provide continuous directions – to the machine or to the operator—so as to improve quality.
Read the full paper on the ‘Journey towards Autonomous Manufacturing’ here.