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Key Tech Trends Impacting Manufacturing Software Development

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Key Tech Trends Impacting Manufacturing Software Development

Published: 2024/04/11

5 min read

The manufacturing industry is undergoing a significant transformation driven by the rapid evolution of technology. As we move further into the era of Industry 4.0 and beyond, several key technology trends are emerging that are reshaping the manufacturing landscape – making operations more efficient, sustainable, and responsive to market demands. Integrating AI, cloud, and embedded systems into manufacturing software development should no longer be considered a goal, but a priority. Read on to learn how manufacturing companies can embrace AI safely and cost-effectively, while ensuring high-quality production is not interrupted by the integration of new technologies.

Trends driving the rise of AI in manufacturing

Manufacturing companies are aiming to streamline maintenance and improve asset performance by operationalizing data. Here are a few of the key trends that are driving AI implementations in manufacturing:

Industry 4.0

5G Connectivity

While most people associate 5G technology with the telecommunications industry, its benefits also support companies in the manufacturing industry as well. Leveraging 5G connectivity enhances network reliability, system flexibility, and device communication speed – all crucial components to improving the interconnections between production lines, robots and machinery in smart factories. The subsequent lower energy costs and boosted sustainability that it delivers has led to the term ‘Green 5G’. Moreover, 5G solutions facilitate automation processes, improve remote equipment control, and strengthen operational resiliency.

The integration of smart applications

Manufacturing industry leaders know now is the time to develop smart applications that integrate IoT, AI, and robotics to operationalize data and drive advanced automation strategies. Not only do these forward-thinking solutions streamline maintenance processes, anticipate maintenance needs, automate responses, and improve asset performance, they optimize maintenance schedules and reduce manual intervention. This measurable value helps explain the rise of smart factories, whose market size is forecast to increase from $149,791.39 million USD in 2022 to $356,952.39 million USD in 2028.

Preventive and predictive maintenance

Also accelerating the transition towards smart factories is the implementation of IoT and cloud-based solutions that leverage real-time data collection and analytics. These solutions reduce unplanned downtime and increase operational efficiency by monitoring equipment condition, performance, and environmental factors, sending critical data to the cloud for analysis. According to Forbes, Companies like Pepsi and Colgate are already using this technology to detect problems with their manufacturing machinery before they cause breakdowns in production.

Cloud-driven data management

Cloud-based services are essential to helping the manufacturing industry manage and analyze data. Cloud infrastructures collect, store, process, and analyze data to unlock insights that enhance equipment reliability and operational efficiency. Manufacturers are able to boost efficiency through real-time insights, encouraging dynamic and responsive maintenance strategies that reduce downtimes and costs.

Embedded Systems

Emerging capabilities in embedded software, whether related to hardware development, firmware development, and RTOS deployment, are enabling manufacturing companies to deliver secure and efficient solutions tailored to customers’ unique needs.

Customized systems

The right embedded systems expertise supports business goals and drives digital transformation. From firmware design to integrating third-party modules, development teams should deliver secure and efficient solutions that maximize system performance and efficiency.

Firmware development, verification, and testing

Optimize your solutions through bare-metal programming that enables direct hardware-level programming and eliminates the need for operating systems. Comprehensive firmware development support covers everything from architecture design to maintenance.

Embedded software and hardware development

Address scalability issues and develop customized solutions with expert teams who can create hardware platforms tailored to your needs. Evolutive solutions, designed to adapt to dynamic market demands, ensure compliance with industry standards and regulations.

Real-time operating systems (RTOS) deployment

Improve your systems’ responsiveness and performance with tailored RTOS solutions. Whether customizing existing kernels or developing new applications, RTOS deployment ensures your systems meet real-time constraints and deliver desired functionalities.

Benefits and applications of manufacturing software

AI, cloud services, and embedded systems in manufacturing deliver benefits like assertive monitoring, data-driven maintenance, automated data acquisition, and optimized production planning. Real-world applications and case studies show the successful implementation of these technologies is driving manufacturing operations forward.

ML-driven assertive monitoring

Facilitate real-time equipment condition monitoring and analysis through ML-driven assertive monitoring. By empowering machines to identify anomalies, solutions themselves improve operational efficiency.

Data-driven maintenance

Turn real-time data into actionable insights for better equipment performance and proactive maintenance scheduling that helps control costs and maximizes operational efficiency.

Efficient inventory and project management

Use predictive modelling to anticipate equipment failures and enable timely interventions, by leveraging data for informed asset management and improved ROI.

Enhanced production planning and machinery control

Analyze patterns and trends to optimize maintenance schedules and encourage predictive maintenance, while saving time and resources in the process.

Increased operational efficiency

Enhance machine productivity by implementing AI, ML, and IoT technologies to maximize product engineering and deploy 5G for faster device connectivity.

Automated data acquisition

Streamline and automate data acquisition processes, improve data quality and security while reducing human errors and enhancing problem-solving capabilities.

Enhanced visibility

Monitor and track inventory in real-time and obtain reports that strengthen your organization’s analytical abilities for accurate forecasting and cost control.

Turn to a proven developer of manufacturing software

Software Mind is a proven partner for manufacturing companies eager to drive Industry 4.0 transformations. Expertise with developing, deploying and maintaining AI, cloud, and embedded systems enables our cross-functional teams to provide support that helps manufacturers increase sustainability, overcome workforce issues, avoid supply chain disruptions and stay compliant with regulations.

Along with cross-technological support that optimizes production, enhances maintenance, and drives productivity, we provide AI integration services tailored to improve manufacturing operations. If you’d like to learn more, sign up to one of our AI workshops:

Option 1: Free AI Primer: A 90-minute online consultation with AI experts to explore AI opportunities, assess your company’s potential and strategy, and understand how AI can be harnessed to meet your objectives.

Option 2: AI Workshops: Attend our predictive maintenance workshops to learn about AI’s transformative impact on manufacturing. Gain hands-on experience and create a customized predictive maintenance path for your operations.

Option 3: AI Data Analysis and Activation Sessions: In these workshops, you can explore your data, assess its quality, and develop a Proof of Concept (PoC) model to implement AI in manufacturing processes.

Our experts customize sessions to the individual needs and goals of a company. Outcomes range from a comprehensive AI-driven plan to actionable predictive maintenance strategies and a functional PoC model. Find out more by contacting us using this form.

About the authorJoseph Schroeder

Account Executive

An Account Executive with over 40 years' experience delivering complex IT services and solutions, Joe has managed teams in North America, Europe and Asia. His diverse background across industries has seen Joe serve in a number of roles, including as co-founder of a cloud software company that specializes in AI, data science and digital transformation solutions. Passionate about delivering real-world value to clients, Joe provides software consultancy that combines business insights with technical know-how.

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