Hamlyn Highlights: Top Automation Trends for Manufacturing, 2024

Hamlyn Highlights: Top Automation Trends for Manufacturing, 2024

In the wake of a challenging year marked by downturns in manufacturing output, new orders, and employment levels throughout much of 2023, the manufacturing industry stands now ready for renewed transformation. Faced with the need to rebound from setbacks and navigate a swiftly evolving landscape, manufacturers are intensifying their searches for innovative solutions to enhance efficiency, reduce costs, and secure their competitiveness. 

Today, automation plays a crucial part in many manufacturing operations – and signs are that in 2024, it’s set to become more important than ever. With automation becoming more accessible and delivering clear economic and efficiency benefits, it’s not surprising that global figures show demand for robotics continues to surge. Projections indicate that 600,000 units will be installed around the world in 2024 alone, highlighting the pivotal role automation is set to play in reshaping manufacturing processes and outcomes. 

In this article, we’ve explored five of the top trends set to redefine automation in manufacturing in 2024, offering insights into the innovations shaping the future of the industry. 


1. AI-driven Automation 

As machinery and equipment companies bolster their technological capabilities, there’s a substantial focus on investing in artificial intelligence (AI). The AI market in industrial machinery, encompassing intelligent hardware, software, and services, is projected to soar to $5.46 billion by 2028. 

AI offers solutions to the primary challenges encountered by machinery and equipment executives, ranging from supply chain volatility and cost pressures to the shortage of skilled workers. In this scenario, AI emerges as an effective solution, offering a way to tackle these pressing issues head-on. 

Looking ahead, the demand for AI expertise in manufacturing is poised to soar. Companies are likely to be hiring for roles such as:  

  • AI Engineers  
  • Data Scientists
  • Machine Learning Specialists  
  • Automation Technicians  
  • AI Integration Specialists

As manufacturing continues its path towards AI-driven transformation, companies that adeptly integrate AI solutions into their processes and backend systems are poised to surge ahead in the competitive landscape. 

 

2. Collaborative Robotics (Cobots) 

The use of collaborative robots - or "cobots" - in the manufacturing sector has expanded significantly. These robots are designed to work alongside humans in shared spaces, improving efficiency, reducing errors, and augmenting workforce productivity. Equipped with advanced sensors and safety features, cobots facilitate safe collaboration with human workers. 

One of the main reasons behind the rising adoption of collaborative robots is their ability to enhance efficiency and flexibility on the factory floor. Unlike traditional industrial robots that are often confined to safety cages, cobots can operate in close proximity to humans without posing a safety risk. This allows for seamless collaboration between human workers and robots, leading to optimised workflows and increased productivity. 

Due to the growing adoption of collaborative robotics in manufacturing, across 2024 companies are likely to be hiring for roles such as:  

  • Cobotic System Integrators   
  • Robotics Technicians
  • Automation Engineers
  • Manufacturing Technologists
  • Quality Assurance Specialists

As the demand for collaborative robotics continues to grow, these roles will play a crucial part in driving innovation and efficiency in the manufacturing industry.

3. Edge Computing for Real-time Insights 

Edge computing represents a pivotal advancement in industrial automation, offering real-time data processing and analytics capabilities that are revolutionising decision-making and process optimisation in manufacturing settings. Unlike traditional centralised computing models, edge computing brings data collection, processing, storage, and analysis closer to the point of data generation, enabling manufacturers to extract actionable insights and drive operational efficiencies in dynamic production environments. 

The evolution of manufacturing since the industrial revolution has led companies to aim at building 'smart factories' that can work mostly on their own and be as efficient as possible. With the Internet of Things (IoT) at the forefront, connectivity has become the foundation for unlocking valuable data from industrial machines, paving the way for transformative growth and improvements in productivity and performance.  

Edge computing allows manufacturers to offer new services, such as remote software updates, enhancing customer satisfaction, and supports the drive for further innovation. The convergence of multiple functions on edge devices enables seamless remote management of software and devices, streamlining operations and enhancing scalability. 

Here are some of the top roles companies will likely be hiring in to support an increase in edge computing:  

  • Edge Computing Engineers
  • IoT Solutions Architects    
  • Data Analysts specialising in Edge Analytics
  • Cybersecurity Specialists for Edge Devices
  • Edge Computing Project Managers

Edge computing forms the basis for intelligent, digital connections in manufacturing, allowing for gathering, storing, and analysing machine data right where it's generated. This setup also supports the introduction of innovative services and enhances operational performance in the Industry 4.0 era.  

 

4. Digital Twins for Simulation and Optimisation 

The concept of digital twins has emerged as a game-changing solution within automated manufacturing, offering unparalleled capabilities in simulating and optimising production processes. Factory digital twins provide a comprehensive model of the factory floor, leveraging real-time data to simulate outcomes and enable "what-if" analyses across various production scenarios. 

Digital twins play a key role in validating designs, optimising layouts, and estimating inventory sizes during the initial investment and build of greenfield factories. These digital replicas not only validate layout designs but also evaluate spatial parameters for assets, such as clearances and ergonomics, ensuring optimal operational efficiency from the outset. In established operations, digital twins prove invaluable in predicting production bottlenecks and optimising production schedules. By modelling complex processes with high fidelity using live data, they uncover hidden inefficiencies and enable informed decision-making, ranging from line balancing to real-time production optimisation. 

Looking ahead, the future potential of digital twins in manufacturing is promising. As automation and AI continue to advance, digital twins are poised to evolve into indispensable tools for manufacturers worldwide. To leverage this transformative technology, companies are likely to hire individuals with expertise in various roles, including:  

  • Data Engineers or Scientists
  • Industrial or Manufacturing Engineers 
  • IT Architects
  • Operations Managers  
  • AI and ML Specialists

Digital twins signify a transformative change in manufacturing, enabling companies to streamline processes, manage risks effectively, and foster innovation within an increasingly competitive market. As the technology continues to evolve, embracing digital twins will be essential for manufacturers striving to stay ahead of the curve and unlock new opportunities for growth and efficiency. 


 5. Sustainable Automation Practices 

In many industries, manufacturing included, sustainability is becoming a guiding principle shaping the way toward a greener, more efficient future. The manufacturing industry in the UK was responsible for producing almost 80 million metric tons of greenhouse gas emissions in 2021, accounting for around 17% of the UK's total GHG emissions. This figure, while 40% less than in 1990, underscores the pressing need for sustainable practices. Globally, the manufacturing industry is responsible for 20% of all carbon emissions. As the global community increasingly works towards minimising our environmental impact and foster resource efficiency, manufacturers are using automation technologies to spearhead a transformative shift towards sustainable practices. 

In 2024, manufacturers are embracing green manufacturing practices with fervour, recognising the pivotal role they play in curbing environmental footprints and advancing sustainability agendas. From minimising waste generation to optimising energy consumption, green manufacturing prioritises eco-conscious processes across the production spectrum. Companies are integrating renewable energy sources, such as solar and wind power, into their operations to reduce reliance on fossil fuels and mitigate carbon emissions.

With such a big effort being made towards improving sustainability and moving towards a carbon zero future, hiring is anticipated in these roles:  

  • Sustainability Analysts
  • Renewable Energy Engineers  
  • Environmental Compliance Specialists  
  • Circular Economy Strategists  
  • Automation Systems Engineers

Sustainable automation practices are at the forefront of manufacturing evolution in 2024, driving innovation, efficiency, and environmental stewardship hand in hand. By harnessing the power of automation for sustainability, manufacturers are not only safeguarding the planet for future generations but also unlocking new avenues for new growth and profitability. 

 

Remember 

In 2024, manufacturing is undergoing a profound transformation driven by automation. Despite challenges in 2023, the industry is rebounding with a focus on efficiency, innovation, and sustainability. From AI-driven automation to collaborative robotics, edge computing, and sustainable practices, the trends highlighted here are reshaping manufacturing operations worldwide.

The trends in automation signify not just technological advancements but a shift towards a more resilient, sustainable future for manufacturing. By embracing these trends, manufacturers are driving growth and shaping a brighter future for generations to come. 


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