engineer checking welding robots automatic arms with monitoring system

Automation has been a driving force of progress for the manufacturing industry since its emergence during the Industrial Revolution. Robotic systems, computer-aided manufacturing, and artificial intelligence are some of the technologies impacting the evolution of work automation nowadays.

In this article, we will explore how these advances benefit companies and employees alike and what challenges they present. We aim to provide readers with thoughtful insights into automation’s positive impact and accompanying drawbacks.

Benefits of Work Automation in Manufacturing

close-up of modern factory machinery with a robotic hand

Increased Productivity

Automated systems can operate at faster production speeds than human workers, contributing to reduced production times. And since automation minimizes the likelihood of human error, this ensures tasks are completed with high precision and accuracy.

Automated systems can also operate 24/7 without requiring breaks or time off, resulting in a continuous production process that further boosts productivity.

Cost Reduction

While the initial investment in automation technology may be high, the long-term savings can outweigh these costs. For example, labor costs can be reduced due to the decreased reliance on human workers.

Maintenance costs may also be lower, as automated systems typically have fewer mechanical failures than human-operated equipment. Apart from that, automation can also lead to more efficient use of resources, such as raw materials and energy, reducing overall production costs.

Improved Product Quality

Advanced automation technologies enable precise and accurate production processes, ensuring each product meets the required specifications.

Consistency in production is another advantage of automation, as machines can produce identical items without the variations that might occur with human operators. This uniformity results in fewer defects and less waste, enhancing overall product quality.

Enhanced Worker Safety

Automation has been a major boon for workplace safety. By replacing more dangerous manual tasks with robots or automated processes, there are fewer opportunities for accidents to occur, such as those involving high temperatures, toxic chemicals, or heavy machinery.

On top of that, automation also allows for seamless data collection so that supervisors and managers can quickly identify areas where safety regulations are not being followed and make corrections as needed.

Environmental Benefits

Work automation can lead to several environmental benefits within the manufacturing industry. Automated systems often consume less energy than traditional manufacturing methods, contributing to energy efficiency.

Additionally, reducing waste and pollution associated with improved product quality and resource management can help minimize the industry’s environmental footprint.

Solves Labor Shortages

While many decry the job losses that may be associated with automation, it has been noted that in areas of low labor availability, automation can be an effective way to fill the gap. In many cases, it can help to stabilize production when the workforce is in short supply.

With a rapidly aging global population and a much smaller labor pool to draw from, automation can help to ensure future growth when an ever-shrinking labor force is not enough to keep factories running.

Emphasizing the Human Element

Despite the increasing use of automation in the production process, human ingenuity remains a fundamental part of industry success. A balanced approach that combines the strengths of both human workers and automated systems can lead to optimal outcomes.

Companies should focus on upskilling and reskilling their employees to ensure they can contribute effectively in an automated environment. Encouraging employee involvement and feedback during the implementation of automation technologies can also help address resistance to change and foster a supportive company culture.

Challenges of Work Automation in Manufacturing

High Initial Investment

The first significant challenge to address associated with work automation in manufacturing is the high initial investment required to implement these technologies. The cost of purchasing advanced machinery and software can be substantial, potentially creating financial barriers for smaller companies.

In addition, integrating these new technologies into existing production processes can incur additional expenses.

Job Displacement

Work automation can lead to job displacement in the manufacturing industry as machines and software replace tasks previously performed by human workers.

This displacement can result in job losses, creating economic and social challenges for affected workers and their communities. Retraining and reskilling programs may be necessary to help these individuals transition to new employment opportunities.

Cybersecurity Risks

As automation relies on digital systems and networks, the manufacturing industry becomes more vulnerable to cybersecurity threats. Cyberattacks can be financially and operationally devastating, not to mention detrimental to a company’s reputation.

Investing in measures that mitigate these risks, including data protection and monitoring systems, can help ensure that automation is secure and compliant.

Technical and Maintenance Challenges

Automated machinery and software complexity can present technical and maintenance challenges for manufacturing companies. These systems often require specialized maintenance staff with expertise in the specific technologies used.

Additionally, equipment breakdowns or software glitches can lead to production delays, potentially impacting overall productivity and efficiency.

Resistance to Change

Implementing work automation may be met with resistance from employees who may perceive these technologies as threats to job security. Organizational challenges may also arise when adopting new technologies, as companies must adapt their operations and management styles to accommodate automation.

Addressing these concerns through transparent communication, employee engagement, and developing a supportive company culture is essential.

Types of Work Automation Tools in Manufacturing

Industrial Robotics

Industrial robots are programmable machines used to perform various tasks in manufacturing processes. Some common types include:

Articulated robots – which have rotating joints and can perform complex tasks with a high degree of flexibility.

Cartesian robots – these use linear movements along the X, Y, and Z axes and are typically used for tasks requiring high precision and accuracy.

SCARA robots – also known as Selective Compliance Assembly Robot Arm, have a limited range of motion and are commonly used for assembly and pick-and-place tasks.

Delta robots – are parallel robots that feature three arms connected to a central base and are known for their speed and precision in pick-and-place operations.

Computer-aided Manufacturing (CAM) Systems

CAM systems leverage computer technology to control and automate manufacturing processes. Examples include:

CNC machines – Computer Numerical Control machines use computerized instructions to control the movement of tools, enabling precise and accurate machining operations.

3D printing – This additive manufacturing technology creates three-dimensional objects by depositing materials layer by layer, allowing for complex designs and rapid prototyping.

Laser cutting – This technology uses a high-powered laser to cut or engrave materials with precision and accuracy.

Business Process Management (BPM) Platforms

BPM tools help organizations streamline and optimize their operations by automating various processes. Key features include:

Process mapping and modelingVisual representation of processes allows for analysis and identification of areas for improvement.

Process automation and optimization – BPM tools can automate repetitive tasks and optimize processes for increased efficiency.

Performance monitoring and analytics – These tools provide insights into process performance and help identify areas for improvement.

HighGear is a platform that combines BPM capabilities with workflow automation, enabling organizations to manage and optimize their business processes effectively. It offers process mapping, automation, and analytics features, making it a practical choice for companies looking to improve their operations.

Workflow Automation Tools

Workflow automation platforms enable companies to orchestrate work at scale, automate tasks, coordinate teams, and integrate processes and data. Some key aspects of these platforms are:

Task automation and scheduling – Automation of routine tasks can free up employee time for more value-added activities.

Process and data integrationWorkflow automation platforms, like HighGear, can integrate data from various sources, streamlining information flow and decision-making.

Collaborative tools for team coordination – These platforms often include communication and collaboration tools to improve team coordination and project management. HighGear is an example of a platform that offers such capabilities, making it a comprehensive solution for organizations looking to enhance their workflow management.

Artificial Intelligence (AI) and Machine Learning

AI and machine learning technologies can be used in various aspects of manufacturing, including:

Predictive maintenance – AI algorithms can analyze sensor data to predict equipment failures and proactively schedule maintenance.

Quality inspection and anomaly detection – Machine learning algorithms can analyze images or other data to identify product defects or anomalies, ensuring high-quality output.

Supply chain optimization – AI can optimize various aspects of the supply chain, such as demand forecasting, inventory management, and logistics planning.

Final Thoughts

Manufacturers must approach automation with a well-thought-out plan to maximize its advantages and minimize the obstacles. This includes investing in employee development, collaborating with automation solution providers, and consistently evaluating how automation affects their workforce as well as their business as a whole.

In this context, workflow automation and BPM for manufacturing platforms like Highgear offer a great solution to streamline business processes, automate repetitive tasks, and reduce errors, ultimately leading to increased productivity and efficiency.

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About Juli Bark, CMO

As HighGear’s Chief Marketing Officer, Juli’s objective is to expand the company’s global footprint through high-performance growth programs that are focused on delivering value at every stage of a customer’s journey.
Her sales and marketing leadership has spanned a number of industries including technology, medical devices, eCommerce and financial services. Over the course of Juli’s 30-year career, she has accelerated growth for large cap companies such as Baxter and KPMG and for smaller P/E backed ventures such as BioTissue. She has also led brand transformations for acquisition-focused companies liek ASX-traded Computershare and Omnyx - a JV of GE Healthcare and the University of Pittburgh Medical Center.
When not driving brand value for HighGear, Juli enjoys spending time on landscape and architectural photography as well as travel.

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