Automation blog

Where is the future heading, intralogistics? Tips for more efficiency

15 November, 2022 Sometimes we focus so much on the big picture that we forget the smaller and yet so important processes that characterize smart production. One example is intralogistics, i.e. the flows of materials and goods that take place on a company's premises or in a production hall. A recent study found that more than 80 percent of the companies surveyed consider the increased use of AI and automation in intralogistics to be necessary to meet challenges such as the shortage of skilled workers or growth plans.Automotive companies that want to meet market and customer requirements, increase efficiency and become more sustainable must come up with new ideas. Energy costs, the gas crisis, and rising inflation make this task even more difficult. Smart factory concepts that combine innovative automation, digitalization, and smart intralogistics approaches can provide valuable support. Some speak of Industry 4.0 in this context, others of the “factory of the future”, still others prefer Industrial Internet of Things (IIoT). But no matter which term you favor: The most important thing is to become active now and to rely on reliable partners. Intralogistics is a good starting point for quickly initiating change. Because action is urgently needed: many companies are currently severely limited due to the shortage of skilled workers. Modern technologies such as mobile robots can provide a remedy.

Digitalization in the automotive industry: Seven tips for smart production

02 November, 2022 If you want to grow and master crises, you have to be digitally fit – this also applies to the important automotive sector. There is no way around digital tools for addressing customers or productivity. Artificial intelligence (AI) and sustainability are key drivers and focus topics, as a study by Capgemini shows. Experts from Gartner point out the importance of open-source collaboration approaches, holistic ecosystems, and technology partnerships. But what should we look out for in digitalization and intralogistics in the production of the future? We want to answer this question in two parts. We start with tips on digitization in the smart factory. As an automation expert, OMRON has been accompanying manufacturers and suppliers on their way to more digitalization sophistication for many years.

How can adaptive AI inspection contribute to flexible manufacturing?

04 October, 2022 Consumers today demand customized products to meet their personal needs and tastes. Instead of producing items that are ‘made to shelve’ and ‘sent to stock’, manufacturers must personalize products that are ‘made for me’ and ‘sent to me’. This is revolutionizing production and forcing companies to rethink their processes. At the same time, ensuring zero complaints and zero defects is a must.The trained eye of an experienced vision inspector is quick to spot errors, but a routine task like this is tiring, and cannot be carried out at each step of the production, especially due to the current labor shortages in many industries. But could this task be automated also in high-mix low-volume production? Could a smart vision system or an ‘electronic eye’ replicate the discernment of the human eye, with the added benefit of repeatability and robustness? The latest AI-enabled adaptive inspection can overcome the challenges of automated quality inspection, with improved flexibility, productivity, and adaptability.  

Artificial Intelligence: hope, hype and FOMO

22 September, 2022 Ten years ago when we received enquiries about AI-based projects, they were mainly driven by hype or FOMO. When I asked why they wanted to get into AI, the answer, more often than not, was either ‘because my boss asked me to’, ‘because we have a lot of data’ or ‘because it seems like an interesting area’. None of these were particularly solid reasons and certainly didn’t justify the hefty investment that AI applications would have required at that time.That is changing, and hope, rather than hype or ‘FOMO’, is the driver. Customers don’t ask whether we can help them with AI anymore. They ask us whether we can help with predictive maintenance, quality control or process optimisation. They come to us with a problem that they want us to help solve. The adoption of AI is no longer a motive or an aim in itself. Instead, AI has become an ‘enabler’.Whatever the industry - whether food & drink, pharmaceutical, electronics or automotive - the end goal is the same: producing high quality, defect-free products at a lower cost, using less energy and less labour. And AI can be one of a suite of solutions for achieving those objectives.

Automation adapts to sustainable packaging

16 August, 2022 Have you ever ordered a small item online, and then felt incensed when it arrived in an oversized box packed out with bubble wrap, air-filled cushions or paper inserts?

Flexible Manufacturing Roadshow: Taking the factory of the future across Europe

16 June, 2022 What if you could see, feel and touch the factory of the future? What does it take to realize flexible, efficient, and sustainable production? This is the idea behind OMRON’s unique Flexible Manufacturing Roadshow travelling across Europe this year.  The roadshow features exclusive demonstrations of human-machine collaborative solutions not usually seen outside of a factory setting due to their size and scale. 

Building the Factory of the Future together

16 June, 2022 As one of the largest business units at OMRON, we aim to further develop the Den Bosch plant to serve the needs in the EMEA region.

Traceability in Automotive: What decision-makers and experts should look out for now

23 May, 2022 From e-mobility to autonomous driving, from skills shortages to digitalization: The automotive industry is undergoing a profound change, marked, for example, by a shift to globalized platforms and standardized vehicle architectures. On the one hand, production is becoming increasingly efficient, but on the other, even a single faulty part can have more far-reaching effects than ever before. Faced with costly recalls, automotive manufacturers are confronted with increasingly complex requirements and stricter specifications. Is the effort of traceability worth it if it means labeling up to 20,000 parts per vehicle? Yes, it is, but powerful reading and verification technologies along with powerful software is needed to make sense of all the data.There are several reasons why manufacturers need to keep accurate records of the parts and components that make up a new car. From a quality perspective, for example, barcode tracking helps to ensure that the right parts are put together. Even more important, however, is the ability to trace each car part back to its original supplier. In the event of a recall or the discovery of a faulty part, manufacturers have to be able to quickly and comprehensively find out where each part came from. This is complemented by information such as batch number, date of manufacture and other important information to identify which vehicles are affected by a defective part. Recommendations and standards from AIAG, VDA, ANSI and ISO specify the details. As the automotive industry globalizes, worldwide production of light vehicles is expected to reach around 96 million units  by 2023. This means that even a single faulty part can have an enormous impact, and therefore must be prevented at all costs.

Lights out? Still unlikely with Industry 4.0

21 April, 2022 For many manufacturers, the prospect of a fully automated, human-free factory feels light years away. When, they ask, is the 4th Industrial revolution coming to us and what can we expect? In this blog, we look at the realities of (fully-/semi-)automated manufacturing, what robots can and can’t do, and why the human touch is still (mostly) irreplaceable.

Vadain automates the inspection of curtain fabrics with machine vision

08 April, 2022 Vadain, the market leader in custom curtains in the Netherlands, needed a solution to detect errors as early as possible in kilometers of curtain fabrics. Together with software developers from Sycade, OMRON machine vision technology, and machine builder Eisenkolb, they developed an automated solution to detect and analyze errors in curtain fabrics, making the time-consuming manual inspection process a thing of the past.

Traditional factories have data needs too

18 March, 2022 The right tools and tech can enable advanced predictive maintenance, bottleneck prevention and optimization. Find out how digitalization is bridging the gap between legacy systems and Industry 4.0.

Fuel for the future: What to look out for in fuel cell production

10 March, 2022 When people talk about sustainable mobility, the first thing that comes to mind is battery-powered e-cars. Fuel cells or direct hydrogen burners are complementary technologies that often fade into the background, yet have a lot to offer when it comes to CO₂ reduction and market options.