manufacturing industry

Artificial Intelligence for the manufacturing

Streamline your business processes such as inventory management, warehouse management, delivery reliability and product quality.

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why AI for the manufacturing and process industry?

Whether you are a small or huge production company, every factory in the manufacturing industry and process industry can take enormous steps to improve production processes in reliability, accuracy and safety through Artificial Intelligence (AI)! This is not only in the production processes themselves, but also in the business processes that are necessary to transport or sell your goods.

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innovate together with AI

In Belgium and the Netherlands, various companies already work together and help each other to make artificial intelligence for the manufacturing and process industries possible. The KEEN consortium, a collaboration of 25 companies in the manufacturing and process industries, states that “ Products and processes are becoming more complex and so engineers need advanced tools to manage that, it says. KEEN does not see artificial intelligence as a possible alternative to the deployment of engineers, but as an instrument that can assist them ”. Therefore consider investigating what Artificial Intelligence for the manufacturing industry can do for you.

at the forefront of AI and RPA

51% of the largest European manufacturers are now working on at least one artificial intelligence assignment. To date, this has made Europe a forerunner in artificial intelligence for the manufacturing industry and process industries. There is often an enormous amount of data available. There are often a lot of sensors. Companies such as Siemens have therefore been investing in artificial intelligence for years. Current models work but are static models. These can be greatly improved by using artificial intelligence in the manufacturing and process industries. You can therefore think of modeling and analyzing processes, products and / or machines / installations. Furthermore, artificial intelligence can support engineering and in the long term artificial intelligence can autonomously control processes.

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the importance of innovation with AI & RPA

In 2017, only 10,000 people worked in the artificial intelligence industry worldwide, 95% of whom worked for huge multinationals such as Google and Amazon. This means that only 500 people in the free sector worked on artificial intelligence. 

There are already a few more, but still too few to allow the other industries to catch up. Because artificial intelligence will change business processes so much, rules have already been set by the US government to restrict acquisitions of American AI-related companies by Chinese companies (and this was for Trump.) The Dutch cabinet also sees that it is very important for our country to be at the forefront of technology in artificial intelligence. That is why training has been launched in recent years and she wants to double the investment in artificial intelligence and is allocating about 1 billion euros to achieve this. 

The cabinet has also drawn up a special action plan for intensive public-private partnerships and investments for artificial intelligence. Nevertheless, several large companies indicate that the Netherlands misses the ‘boat‘ with artificial intelligence and are sounding the alarm. We are not moving fast enough! Time for action!

AI will revolutionize our lives by bridging the gap between what humans are capable of and what is actually possible. It will penetrate across industries to take over basic tasks from humans, seamlessly interacting with our daily lives. — CNN.com

how do I start with AI & RPA?

Supplai understands that every company has and works on a core ERP system. The terms artificial intelligence (AI), artificial intelligence (AI), robotic process automation (RPA) and perhaps machine learning or deep learning (read more in our blog) can therefore be an elusive and difficult to understand technique. Because how do you connect this to each other? 

We believe that you should set up your organization step by step, process by process, to use artificial intelligence and thus improve your business processes. Our solutions therefore also connect seamlessly with your existing systems. Think of it as a new app on your phone! We just add something to it. In the text below, let us inspire you with examples with artificial intelligence for the manufacturing industry  about how your company can look like with AI in the next 5 years.

Artificial Intelligence for the manufacturing industry in the factory

  • Learn by means of algorithms to make the machines or robots the perfect product.
  • With an overarching algorithm that checks these machines or robots, it is even possible to learn where likely problems will arise by combining all the data. So have less downtime. Globally, the cost of unplanned plant shutdowns is estimated at 50 billion a year!
  • Change an existing product faster than ever. Take Tesla as an example. They constantly update their existing cars by using artificial intelligence in both design and control of the factory.
  • Increasing use is being made of sensors. Link all this data to algorithms and learn a lot about your factory and ensure that you make products more efficient in both time and use of raw materials. According to Mc Kinsey, '' smart factories '' will be worth 1.2 to 3.7 trillion more worldwide through material and operational optimizations!
  • Manufactured products must also leave the factory. To do this, use logistics warehouse management systems linked with artificial intelligence from supplai. The logistics costs are an essential part of the cost price nowadays!
  • There are already many sensors available specifically for the chemical and petrochemical industry. Many regulation models are static and a lot of data is not included in this. What happened 4 years ago in the same situation and what were the temperatures in other columns or even outside that day? Artificial Intelligence makes all these models dynamic and can predict much better than the current models.

There are many other examples for factories to come up with. Don’t let Artificial Intelligence replace your employees, but improve them!

AI in de fabriek

engineering

Within Engineering, we build heavily on datasets and artificial intelligence is perfect for this. Artificial Intelligence for the manufacturing industry can help you improve the engineering process.

  • Read in pictures or drawings and process them as desired.
  • Design faster by using Artificial Intelligence. Algorithms can also learn to make design suggestions. This is now also known as generative design.
  • Design the cheapest product. Use our algorithms to answer the question, how can you make the best design with the least cost and the least waste?
  • Algorithms can then perform calculations on them, make part lists or make analyzes of the design. Airbus, among others, uses this in their designs.

material and safety

There is nothing more precious to a company than material that breaks during an assignment. Use artificial intelligence to reduce this. Predictive maintenance or ” prevention is better than cure ”. Some examples:

  • Detecting and analyzing damage is already difficult and takes a lot of time. You can predict maintenance with our algorithms
  • If you want to go a step further than predicting maintenance, you can combine it with cameras that detect damage and determine, together with the algorithm, whether the damage needs to be repaired or not. This way you prevent it from really breaking down and this ensures that your trucks or equipment stand still less often.
Predictive maintenence logistics
Financiele accountant en artificial intelligence

financial and management

There are many repetitive processes that involve data in the financial department. Here artificial intelligence is well suited to analyze large amounts of unstructured data or to take tasks off your hands. Some examples:

  • If you want to have incoming invoices automatically read and correctly placed in the system, this is possible with our algorithms.
  • Algorithms can help determine your foreign currency overviews. When do you need which currency in response to debtors and creditors in your system
  • Start managing even more on KPIs and let algorithms help you with this. Or to make unstructured data transparent and structured and / or even have analyzes made so that you only have to look at it!

There are many other examples to come up with. Don’t let Artificial Intelligence replace your employees, but improve them!

commercial

Commercial data is often very unstructured and decisions are often made based on feeling. How do you ensure that you make the correct predictions based on history? Some examples:

  • Predict demand and price movements and use all internal data in combination with our algorithms to make good predictions and analyzes. This allows you to manage your company more efficiently and respond to the right movements.
  • Do you receive a lot of prices from suppliers via e-mail? Have this automatically read into your system and you will therefore always be up to date! Avoid using higher prices or wrong old quotes from your suppliers.
  • If you want to take this a step further because it is an important process within your organization, let suppliers analyze prices and identify trends.
  • Let our algorithms calculate quotations and, based on other internal data (such as margin per customer), predict what this customer should be willing to pay for your service or product.

    There are many other examples to come up with. Don’t let Artificial Intelligence replace your employees, but improve them!

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