Autonomous manufacturing is an intelligent and enhanced version of automated manufacturing . Embedding Industry 4.0 technologies like AI and machine learning into a smart manufacturing system that is already capturing data on consumer feedback , supply and demand , and machine capacity , will have a huge impact on the success of the production line . By being able to read , digest and implement changes automatically based on the data collected , managers can ensure a more efficient and optimized workflows is achieved .
Final thoughts
Making manufacturing operations ‘ smart ’ with new digital technologies is no doubt changing the industry ’ s productivity levels . Whether it ’ s a manufacturer who has already fully upgraded its operations , or one who is planning to do so in the near future , it ’ s evident that without digital , manufacturers will quickly lose their competitive edge , and resilience against future challenges .
The long standing benefits to output , productivity and success are already being noted by many and with the introduction of autonomous manufacturing and the recognition of the importance of data , the industry is set for an even bigger productivity revolution . ■
For a list of the sources used in this article , please contact the editor .
Greg Moyle www . sap . com
Greg Moyle is Head of Energy & Discrete Manufacturing for SAP UKI . SAP ’ s strategy is to help every business run as an intelligent enterprise . As a market leader in enterprise application software , it helps companies of all sizes and in all industries run at their best : SAP customers generate 87 percent of total global commerce .
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