6 Real World Use Cases of Robotic Process Automation (RPA) in Manufacturing

When we think about manufacturing in the year 2020, we can rightly speak in terms of ‘smart factories’, equipped with 3D printing facilities or devices that are compatible with IoT. Robotic process automation in manufacturing is also among the innovative technologies that allow for significant time reduction in order processing, product manufacturing, and dispatching to customers and thereby ensure a competitive advantage for your company.

However, a 2020 outlook on the manufacturing industry from Deloitte informs that only a fifth of the surveyed manufacturers feel ready to deal with the profound changes brought about by the digital revolution.

The biggest such change whose effects must be internalised is perhaps the switch from physical to software robots. Our current discussion of real world use cases of RPA in manufacturing can be seen as an attempt to facilitate this paradigm shift.

If you’re interested in reading about more use cases for robotic process automation in other industries, head over to the blog. This article is part of our pragmatically oriented series, where you can learn about concrete application areas of RPA in various domains, such as the public sector, media, insurance, banking, HR, retail, to mention but a few.

Top robotic process automation use cases in manufacturing

1. Bill of Materials (BOM)

Errors at any of these points can have a negative chain effect on the rest of the production cycle and thus lead to massive losses for your company. Therefore, RPA with its capacity for quasi error proof task performance is indeed called for, because it is conducive to accurate and on-time process completion.

2. Administration and reporting

All the reports you need in order to have a crystal clear, functional image of production can be created accurately and fast with the help of bots. Further down the causal chain, this will facilitate effective decision making regarding the business paths to be followed for the achievement of your most desirable outcomes.

3. Data migration

The risk of error for manual performance is high and costly; given that systems are inherently interconnected, it is likely that compound errors arise. Robotic process automation can speed up execution and cancel out the risk of error, yielding more productive outcomes, which is why data migration is a typical real world use case of RPA in manufacturing.

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CiGen, one of the first dedicated (#RPA) #Robotic #Process #Automation companies, providing Intelligent Automation solutions and services, using @uipath