{"id":28608,"date":"2024-11-19T10:06:38","date_gmt":"2024-11-19T10:06:38","guid":{"rendered":"https:\/\/www.engineernewsnetwork.com\/blog\/?p=28608"},"modified":"2024-11-19T10:06:45","modified_gmt":"2024-11-19T10:06:45","slug":"maximising-opportunities-for-robotics-and-automation","status":"publish","type":"post","link":"https:\/\/www.engineernewsnetwork.com\/blog\/maximising-opportunities-for-robotics-and-automation\/","title":{"rendered":"Maximising opportunities for robotics and automation"},"content":{"rendered":"\n

Mark Gearing and Peter Williamson discuss the importance of integrating robotics and automation in manufacturing, emphasising their role in addressing labour shortages, enhancing efficiency, and preparing for artificial intelligence (AI) applications, while highlighting the value of human expertise in driving innovation and continuous improvement<\/strong><\/p>\n\n\n\n

Artificial intelligence (AI) is making headlines with promises to revolutionise how we work and help businesses streamline processes, improve productivity, and promote growth. And yet, many companies still view robotics and automation \u2013 which are arguably precursors to AI and essential to any successful AI application \u2013 as daunting and complex. These insecurities are often accompanied by long-standing fears of worker displacement and concerns about the costs and challenges associated with implementation. <\/p>\n\n\n\n

The truth is that robotics and automation are no longer a \u2018nice to have\u2019 \u2013 especially in the world of manufacturing. These technologies are essential to businesses looking to remain competitive and navigate current manufacturing challenges. That said, knowing how to get started, and where to integrate new systems is key to success, as is having a balanced approach that values human expertise alongside technological development.<\/p>\n\n\n\n

With this in mind how do you get started with robotics and automation, highlighting the invaluable role of the human worker.<\/p>\n\n\n\n

Why invest?<\/strong><\/p>\n\n\n\n

There\u2019s no escaping it \u2013 we are facing a significant worker shortage in the manufacturing industry. A recent Deloitte and Manufacturing Institute<\/a><\/strong> report has suggested that the US manufacturing industry could require as many as 3.8 million new roles by 2033, and as many as 1.9 million of these could go unfilled.<\/p>\n\n\n\n

While it is inevitable that some job roles, or more accurately, specific tasks, are at risk of being replaced by automation and robotics \u2013 these are often the most challenging roles to fill, and the risk for businesses in trying to preserve these roles at the expense of progress will be significant. Indeed, a 2023 report by the Manufacturing Technology Centre<\/a><\/strong> revealed that UK manufacturers\u2019 hesitance to invest in automation and robotics has notably impacted the country\u2019s productivity gains.<\/p>\n\n\n\n

What is more, there is an increasing body of evidence which counteracts the concern that automation will replace jobs: Rockwell Automation\u2019s recent report on The State of Smart Manufacturing<\/em><\/strong><\/a> found that a staggering 94% of businesses expect to maintain or grow their workforce as a result of smart manufacturing technology adoption.<\/p>\n\n\n\n

The bottom line is that people can be upskilled into new roles, whereas businesses will fail if they don\u2019t move with the times<\/a><\/strong>. As Max Depree, founder of Herman Miller, once said: \u201cWe cannot become what we want to be by remaining what we are.\u201d\u00a0<\/p>\n\n\n\n

Where to start?<\/strong><\/p>\n\n\n\n

If the \u2018why\u2019 can no longer be refuted, the next question for businesses yet to embrace robotics and automation is \u2018where\u2019 to start. The key here is to begin with dull, dirty, and dangerous tasks and roles that are difficult for human workers to perform effectively.<\/p>\n\n\n\n

First on the list are the repetitive, business-critical tasks such as manual data entry and extraction, which bring little in the way of worker satisfaction, and are very easy to automate using smart tools \u2013 such as coding automation software \u2013 that replicate simple processes with great accuracy.<\/p>\n\n\n\n

The benefits of automating routine data management tasks are evident. In any manufacturing setting, human error resulting from repetitive tasks such as manual code entry is an inherent risk, with consequences that can include unexpected downtime, increased costs, reduced quality, and wasted resources. Indeed, a study by Vanson Bourne found that 23% of all unplanned downtime in manufacturing is the result of human error<\/a><\/strong>.<\/p>\n\n\n\n

Simple, repetitive manual handling tasks, including picking, packing, and palletising, are another example of tasks that can easily be automated using robotic technology. Repetitive, manual tasks such as these can be some of the most challenging roles for manufacturers to fill, particularly when they involve working in harsh or inhospitable environments \u2013 they also come with an increased risk of worker fatigue, job frustration, and injury.<\/p>\n\n\n\n

It is also worth identifying the areas where robotics and machine automation could have the biggest impact: manual tasks requiring a high degree of accuracy where robots and automated tools may readily and consistently outperform humans, for example, automatic label applicator adjustment to ensure precision placement within a defined area, or visual quality control. Indeed, quality control improvement<\/a><\/strong> was identified by 45% of businesses surveyed in the Rockwell Automation report as the number one priority for smart systems.<\/p>\n\n\n\n

The important thing to remember is that robotics and automation do not have to be an \u2018all or nothing\u2019 commitment; it is possible \u2013 and indeed advisable for an organisation at the beginning of its journey \u2013 to start small. Start by highlighting a specific production issue where robotics and automation can lend a hand \u2013 once the benefits have been realised, they will soon justify making additional investments further down the line.<\/p>\n\n\n\n

Starting small will bring a number of benefits, including minimal capital expenditure and disruption and increased workplace confidence. However, any investment should be made with an appreciation of how individual projects will fit into overall process improvements. Whether it is the automation of a particular workflow, individual task, or whole process, automation should be adaptable and considered as part of a broader smart systems journey.<\/p>\n\n\n\n

For those struggling with where to start, there are an increasing number of providers with years of experience in implementing smart solutions, many of whom are willing to provide consultancy services that will help identify target areas and build out projects as part of an implementation timeline.<\/p>\n\n\n\n

Collaboration and continuous improvement<\/strong><\/p>\n\n\n\n

\u201cWhy not make the work easier and more interesting so that people do not have to sweat? The Toyota style is not to create results by working hard. It is a system that says there is no limit to people\u2019s creativity.\u00a0 People don\u2019t go to Toyota to \u2018work\u2019 they go there to \u2018think\u2019\u201d \u2013 Taiichi Ohno, Japanese businessman and founder of the Toyota Production System.\u00a0<\/p>\n\n\n\n

Your workforce will be a critical part of your journey, helping to identify areas for improvement, guide technological developments, and bring insight and creativity.<\/p>\n\n\n\n

Those at the coalface of production will have the best knowledge of the roles that bring minimal value to their workplace experience and act as a barrier to recruitment and \/ or upskilling potential. Involving and collaborating with your existing workforce on your robotics and automation journey will also build loyalty and is key to understanding areas for further investment and continuous improvement. <\/p>\n\n\n\n

Consider also how future investments can be enhanced by both existing knowledge and human analytical and decision-making skills. A best-in-class approach will undoubtedly blend the wealth of production data captured by smart systems with the very best human decision-making capability to apply this insight for business gain.<\/p>\n\n\n\n

It is important not to run before you can walk, but as your journey progresses, an engaged and loyal workforce will help you to identify future line developments, for example, potential AI applications. Of course, the deployment of AI can follow a similar trajectory, with small incremental developments, for example spotting problematic, narrow parameter errors within vision inspection systems or identifying trend data.<\/p>\n\n\n

\n
\"\"<\/a>

Mark Gearing, R&D Group Print System Director, Domino Printing Sciences<\/figcaption><\/figure>\n<\/div>\n\n\n

Conclusion<\/strong><\/p>\n\n\n\n

As organisations across all sectors start thinking about potential applications for AI within their businesses, those within the manufacturing sector that have yet to embrace robotics and automation should begin their journey before time runs out.<\/p>\n\n\n\n

With the support of suppliers who are agile, adaptable, and able to help you overcome the barriers to entry your business might face \u2013 whether it\u2019s developing the business case, identifying the low-hanging fruit, creating an automation roadmap, or offering flexible finance options \u2013 now is the time to get started on your smart systems journey.<\/p>\n\n\n\n

Mark Gearing is R&D Group Print System Director with Domino Printing Sciences<\/a><\/strong>, and Peter Williamson is CEO, Automate UK<\/a><\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Mark Gearing and Peter Williamson discuss the importance of integrating robotics and automation in manufacturing, emphasising their role in addressing labour shortages, enhancing efficiency, and preparing for artificial intelligence (AI) applications, while highlighting the value of human expertise in driving innovation and continuous improvement Artificial intelligence (AI) is making headlines with promises to revolutionise how …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[199],"tags":[353,1894,13274,9690,1474],"class_list":["post-28608","post","type-post","status-publish","format-standard","","category-news-views-and-opinion","tag-ai","tag-artificial-intelligence","tag-automate-uk","tag-domino-printing-sciences","tag-robotics-and-automation"],"yoast_head":"\nMaximising opportunities for robotics and automation - Engineer News Network<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.engineernewsnetwork.com\/blog\/maximising-opportunities-for-robotics-and-automation\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Maximising opportunities for robotics and automation - 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