Digitising with open standards: the recipe for a good night’s sleep
Udgivet kl. 2. september 2024 i Operational Excellence
Can we commit to the predictions I have made? Will we be able to deliver to the deadline? Do I have enough insight to know for sure? How is the factory doing in terms of QCDE (quality, cost, delivery time and environmental impact) against our targets and compared to the competition?
These are some of the concerns that keep factory managers awake at night; concerns that can be addressed through digitisation. In a digitised production environment, factory managers don’t have to worry about the unknowns, the risks and the might-happens. Digitisation eliminates uncertainty and enables performance-driven optimisation. It provides insights that can help factory managers improve quality, reduce cost, shorten lead times and reduce environmental impact. The manager of a digitised factory shouldn’t wake up worrying in the middle of the night, but if they do, a brief glance at their mobile phone should reassure them that everything is running as it should be.
However, moving from a state of anxiety-induced insomnia to one of blissful somnolence is not easy. Put bluntly, digitisation can be quite tedious. Project leaders rarely have the luxury of working with a blank canvas; most of the time they are working with a patchwork quilt of old technologies sewn together; they are trying to digitise production lines incorporating machines that have never logged data and were built before data communication protocols even existed. This all adds up to a sizeable OT and IT integration challenge.
These are some of the concerns that keep factory managers awake at night; concerns that can be addressed through digitisation. In a digitised production environment, factory managers don’t have to worry about the unknowns, the risks and the might-happens. Digitisation eliminates uncertainty and enables performance-driven optimisation. It provides insights that can help factory managers improve quality, reduce cost, shorten lead times and reduce environmental impact. The manager of a digitised factory shouldn’t wake up worrying in the middle of the night, but if they do, a brief glance at their mobile phone should reassure them that everything is running as it should be.
However, moving from a state of anxiety-induced insomnia to one of blissful somnolence is not easy. Put bluntly, digitisation can be quite tedious. Project leaders rarely have the luxury of working with a blank canvas; most of the time they are working with a patchwork quilt of old technologies sewn together; they are trying to digitise production lines incorporating machines that have never logged data and were built before data communication protocols even existed. This all adds up to a sizeable OT and IT integration challenge.
Aim for 80%
My advice would be to accept that you are not going to be able to digitise every square metre of your factory (unless you are lucky enough to be digitising a brand new facility). To do so would be way too expensive and complex. Most factories built in the last five years can expect to be able to digitise at least 80% of their workflow, and the key to this is establishing standardisation. That means standardising the type of data being generated and collected, the metadata that is used to document data and the way in which data is exchanged and communicated.
You can use non-open standards, but ultimately this will limit your ability to fully capitalise on the performance optimisation opportunities that digitisation presents and to communicate beyond the factory walls, which is why we advocate an open standard digitisation approach.
For collecting real-time machine and process data a common modelling language such as PackML will achieve standardisation. Successful digitisation also requires a standardised communication protocol so that machines can talk to one another and other Industry 4.0 components. OPC UA, a protocol that originates from the IT domain, is increasingly crossing over to the industrial automation sphere, and OMRON is part of an automation industry-led steering committee that is extending OPC UA to industrial field level devices called UPC UA FX.
The analogy I often use is with the English language, the universal language of business. If you speak English, you can do business with most people. The same principle applies to OPC UA FX in an industrial context.
This open standard supports complete interoperability within a factory. Not only does it allow machines to talk to each other in data terms, it also enables machines to talk to IT systems such as ERP and MES systems, as well as data analytics systems that you may be running on a local or virtual cloud.
You can use non-open standards, but ultimately this will limit your ability to fully capitalise on the performance optimisation opportunities that digitisation presents and to communicate beyond the factory walls, which is why we advocate an open standard digitisation approach.
For collecting real-time machine and process data a common modelling language such as PackML will achieve standardisation. Successful digitisation also requires a standardised communication protocol so that machines can talk to one another and other Industry 4.0 components. OPC UA, a protocol that originates from the IT domain, is increasingly crossing over to the industrial automation sphere, and OMRON is part of an automation industry-led steering committee that is extending OPC UA to industrial field level devices called UPC UA FX.
The analogy I often use is with the English language, the universal language of business. If you speak English, you can do business with most people. The same principle applies to OPC UA FX in an industrial context.
This open standard supports complete interoperability within a factory. Not only does it allow machines to talk to each other in data terms, it also enables machines to talk to IT systems such as ERP and MES systems, as well as data analytics systems that you may be running on a local or virtual cloud.
Opening up opportunities
But its real potential lies in its ability to support mutual information sharing and communication across multiple sites and in the supply network. With open standard digitisation, manufacturers can compare multiple factories to drive further improvements and can duplicate ways of working across production sites. They can even use data from their supplier processes to inform their manufacturing schedules, telling them when a particular part is going to be delivered, for example.
Open standard digitisation is also key to deriving value from Digital Product Passports (DPPs). As well as being a legal requirement from 2027 for some industries, DPPs, which provide a digital record of a product’s composition, origin, and lifecycle, are a useful Industry 4.0 tool. In the production of batteries for electric vehicles, for example, DPPs could be used to improve quality and reduce waste. Combining components of the same quality has been found to result in a better battery. The reason this doesn’t always happen is because of variation that occurs within set tolerances. Using DPP data communicated via OPC UA, warehouses could pick individual components with similar characteristics and thereby reduce the risk of batteries failing factory tests and having to be scrapped.
Open standard digitisation is also key to deriving value from Digital Product Passports (DPPs). As well as being a legal requirement from 2027 for some industries, DPPs, which provide a digital record of a product’s composition, origin, and lifecycle, are a useful Industry 4.0 tool. In the production of batteries for electric vehicles, for example, DPPs could be used to improve quality and reduce waste. Combining components of the same quality has been found to result in a better battery. The reason this doesn’t always happen is because of variation that occurs within set tolerances. Using DPP data communicated via OPC UA, warehouses could pick individual components with similar characteristics and thereby reduce the risk of batteries failing factory tests and having to be scrapped.
One of the questions I am often asked about open standard digitisation is whether it is ‘retrofittable’. I’m going to bring in another language-themed analogy here, this time with Google Translate. OMRON has developed an edge data controller that translates data from older machines into the latest language and data types. Effectively it is a gateway box that can be used to make older machines open standard.
Digitisation is gaining momentum with growing awareness of the real world benefits that data-driven insights can bring. However, standardisation - in terms of the type of data being collected and the way in which that data is communicated - is a major challenge for factories looking to digitise industrial automation. By adopting an open standards approach, manufacturers can succeed at digitisation, and factory managers can sleep easy.
Digitisation is gaining momentum with growing awareness of the real world benefits that data-driven insights can bring. However, standardisation - in terms of the type of data being collected and the way in which that data is communicated - is a major challenge for factories looking to digitise industrial automation. By adopting an open standards approach, manufacturers can succeed at digitisation, and factory managers can sleep easy.
