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PROCESS AUTOMATION


essential step of the manufacturing process. However, the cost and complexity of traditional machine vision solutions mean that many factories still rely on manual inspection. Unfortunately, human inspectors cannot


reliably check complex products for eight hours a day without missing defects. Luckily, new solutions that transcend the


limitations of traditional machine vision are reaching the market. For example, Inspekto has developed a cost-effective Autonomous Machine Vision system, the INSPEKTO S70, that can be set up by the plant’s own personnel, without the help of a machine vision expert. The system comes pre-trained for a variety of use cases, which reduces installation time. Such machine vision solutions lead to a


ANALYSE, PRIORITISE & DIGITISE MANuAL TASKS


Neil Ballinger, head of EMEA at automation parts supplier EU Automation, offers an overview of the tasks that, once automated, offer the fastest return on investment (ROI)


improvement and increased safety are just some of the most obvious. But what processes should manufacturers prioritise in their journey to Industry 4.0? Since the emergence of the term Industry


T


4.0 in 2011, the digital journey of most manufacturers has been slow and steady. For manufacturers who are not blessed with an endless stream of cash and expert teams of in-house technologists, the gradual implementation of automation has been the safest and most effective way of digitalising their premises. However, the COVID-19


pandemic and its ripple effect on the global socio-political balance has forced manufacturers to digitalise at full throttle, turning their Industry 4.0 journey from a marathon to a sprint. In this scenario, plant managers are under increasing pressure to make the best decision when prioritising processes to be switched from manual to digital. Although the needs of every production or


assembly plant differ, when planning an automation project there are three key variables that plant managers should consider — the speed of the return on investment (ROI), the ease of implementation, and the impact of the project on the workforce. Here’s a few examples that win on all three fronts: Pick and place – The repetitive act of


picking up a piece and placing it in the correct spot for further processing is tedious, and


24 NOVEMBER 2022 | PROCESS & CONTROL


he benefits of automating manual processes have long been known to manufacturers — cost reduction, quality


when parts are heavy, difficult to manipulate or in close proximity to hot surfaces and dangerous machinery, the task turns from tedious to hazardous. Luckily, pick and place applications are


some of the easiest and most cost-effective to digitalise. There is a wide variety of robotic arms on the market that require little upfront investment, can be programmed with no coding expertise, and drastically facilitate employees’ work. For example, igus’ latest cobot, part of the igus Rebel family, costs less than EUR 5,000 and can be programmed remotely through an online integration service that offers fixed-price consultations. This plug and play cobot is up and running in just a couple of days and can lift up to 2kg.


For heavier lifting, such as in palletising applications, prices are


higher — a standard solution handling one layer per minute starts at around EUR 140,000, excluding integration and extra accessories. Programming and maintenance can also be quite complex and generally requires the assistance of a systems integrator. However, automatic palletisers can have a


huge impact on staff wellbeing and reduce the risk of accidents and repetitive strain injuries (RSIs). Though capital recovery might be slower than in other automation projects, the benefits in increased safety and staff retention will be worth the investment. Quality assurance – The strict standards of Industry 4.0 make quality assurance (QA) an


quick ROI thanks to their ability to reduce the cost of defects, which can include material waste, re-working costs, late delivery fees, reputational damage and more. Moreover, automating quality assurance


can free up personnel to perform more engaging tasks that add value. The wide variety of machine vision companies on the market ensure that manufacturers can find a QA system that matches their budget and technical skills. Data entry – Fast and reliable data entry is


essential for all processes that require accurate, up-to-date information, from monitoring sensor data for predictive maintenance, to processing bills of materials. Manual data entry can often become a


bottleneck for businesses and might introduce errors in reported figures. This is where automated data entry systems can help. Using optical character recognition, data


entry software can read information from a variety of sources, such as PDFs, e-mails and websites, and absorb it into a centralised data storage application, be it a database or simple spreadsheet. Automated data entry software can help in


countless scenarios, such as preparing reports for audits and quality controls, managing business enquiries, processing the results of customer satisfaction surveys and more. On top of these benefits, data entry


software is generally simple to install and manage and can be cost-effective — Culverdocs, for example, offers an all-inclusive package for a monthly fee of only £20 per user. Cashflow, employee retention and a


technical skills gap are some of the biggest challenges manufacturers are currently facing. By considering the ROI of their automation projects, their impact on the workforce and how easily they can be deployed and maintained, manufacturers can speed up their digitalisation marathon. To stay up-to-date with the latest


innovations in smart manufacturing and access a wide range of resources visit EU Automation’s free Knowledge Hub.


EU Automation www.euautomation.com/uk/knowledge-hub


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