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

Let’s have a look at some top application areas of RPA in manufacturing. The list should clarify what software robots can accomplish in production, and, consequently, diminish the reserves regarding its ‘untamable’ disruptive potential.

1. Bill of Materials (BOM)

This is a crucial document in manufacturing; it comprises an extensive list of materials and components necessary to create a new product. Its main function is to offer employees all the information they need regarding the journey towards the development of new commodities, that is, what, when, where from, and how to purchase.

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

Manufacturing companies have to deal with a wide range of process problems, and this can pose a significant overload on the administration departments. RPA deployment can be your ace in the sleeve for efficiently organising administration.

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

We live in an era of dynamic, fast paced upgrades in the manufacturing industry. In order to ensure the regularity of business policies as well as a consistent integration of novel acquisitions in the production cycle, moving data from old to new systems is part and parcel of the tasks involved in a manufacturing industry that is set to evolve.

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.