NEWS 10 HYDRAULICS & PNEUMATICS November/December 2023 www.hpmag.co.uk industrial sector but also of the event organisers themselves. The event will once again be carbon neutral in 2024 with more than 20,000 trees planted in the Nineteen Group Forest since 2022. The event’s charity partner is again Engineers Without Borders UK, who are ensuring that globally responsible engineering is embedded within the thinking of both engineers and the businesses they work for. Peter Jones, CEO of Nineteen Group commented on the launch of Smart Manufacturing & Engineering Week 2024, commenting: “In 2023 we gave our team licence to put on an event which was different to how industrial exhibitions and conferences had been staged in the past. The festival feeling which they created will be built on in 2024 and the addition of Drives & Controls in Hall 5 means we must think even bigger as there are just simply more people to engage and entertain.” Smart Manufacturing & Engineering Week will run from the 3rd to 7th June 2024 with Drives & Controls opening from 4th to 6th of June (3 days) in Hall 5 at the NEC in Birmingham and the other live events taking place on 5th and 6th June only (2 days) in Hall 4 just next door. Other exhibitions are also taking place at the NEC during the week run by other event organisers, and these include the UK Garage & Bodyshop event run by Messe Frankfurt; Med-Tech Innovation Expo and TCT 3Sixty from Rapid News Group and Subcon from the Mark Allen Group. A single visitor registration to Smart Manufacturing & Engineering Week provides access to all the events. Manufacturers are set to see a surge in the use of Artificial Intelligence (AI) and Machine Learning as they push for greater automation and improvements in productivity, efficiency and quality according to a new survey published today by Make UK and Infor. The survey shows that companies are increasing their investment in automation across a broad range of technologies and functions from manufacturing processes to product design and development. These investments are set to accelerate in the next two years with greater automation leading to an increase in higher levels of skills and more than a quarter of companies (28%) saying they will have less need for lower skilled roles. However, despite this positive picture most manufacturers believe the UK is failing to keep up with competitors, while significant barriers to further automation remain in the shape of a lack of technical skills, data integration and workplace culture. In response, Make UK is urging the Government to roll out the successful Made Smarter scheme nationwide to help SMEs adopt digital technologies, as well as work with companies to address the continued shortfall of technical skills in the workforce and reform of the Apprentice Levy. Commenting, Verity Davidge, Director of Policy at Make UK, said: “The adoption of AI, automation and other game changing technologies by manufacturers is rapidly accelerating and will provide vital pieces in solving the productivity puzzle. But there is still more to be done to match our competitors, especially among SMEs who face far greater hurdles in adopting digital technology. As well as tackling the digital skills barrier which remains the biggest hurdle, Government should roll out the Made Smarter scheme across the UK. This has a proven success in delivering step change for SMEs on their automation journey.” Andrew Kinder, SVP, Industry Strategy, Infor added: “We are seeing a substantial shift in the adoption of digital automation as manufacturers seek to improve efficiency, instill agility and drive greater productivity. While generative AI is still in its relative infancy, intent to capitalise on it is incredibly encouraging with many companies saying they are ‘aware of and planning to use’ the technology. “Actions, however, speak louder than words. While the government clearly has a role to play in supporting AI adoption, manufacturers have an opportunity to take control in bridging the gap between intent and value in creating first-mover advantage. The technologies are now widely available, affordable, and come with a typically fast return on investment, which all help manufacturers compete in increasingly challenging conditions.” According to the survey, more than half of companies (55%) have already implemented or, are planning to implement, AI and Machine Learning to automate decision making processes and improve operational efficiency. In addition, four fifths of companies have already introduced or, are planning to introduce, Augmented Reality and Virtual Reality techniques in areas such as design and prototyping. This is part of a wider push by companies to investment in automation with more than three quarters of companies (76%) having already done so while almost six in ten companies (59%) plan to increase their expenditure compared to the previous twelve months. Furthermore, one in five companies plan to automate between a quarter and half of their processes in the next two years while a quarter plan to automate between 10% and a quarter of their processes. These investments are largely in improving manufacturing processes (65% of companies) and product design & development (49% of companies). And companies are seeing significant benefits as a result in improving productivity (60%) improved labour efficiency (49%) and a similar number seeing improved quality. However, despite this positive picture and increased investment plans significant barriers to the adoption of automation remain in the form of a lack of technical skills by almost half of companies (46%) integration and data challenges (41%). More than a third of companies are also citing high costs and workplace culture (38% and 36% respectively) as barriers. In addition, the survey shows a clear mismatch between policy incentives designed to boost investment and the expected return on investment (ROI) for companies. More than eight in ten companies expect up to five years for a positive impact of investment. In contrast, more than half of companies (56.4%) believe Government investment policy is not sensitive to the time to see a ROI. AI and Machine learning set to boost Industry’s automation push
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