With an unprecedented ease of accessing data, manufacturing processes have evolved to bridge the gap between cyber and physical systems. Centralized sources of information are revolutionizing knowledge transfer and data availability.
The modern workplace features methods that enhance worker capabilities by integrating digital technologies into daily operating procedures. The connected worker is emerging as the new norm, and manufacturers are implementing tools such as collaborative platforms, wearable technology and interactive augmented reality.
Here are four ways connected worker technology improves the flow of data in manufacturing processes.
The ability to make data-driven decisions is a game changer in the manufacturing space to remain competitive during challenging times. Modern digital capabilities allow data to be collected and transmitted seamlessly through cloud technology and the Industrial Internet of Things (IIoT). This can be achieved by sensors that collect data from equipment and share it through the cloud for advanced analysis. Additionally, real-time data collection enables automation procedures and forecasting outcomes using machine learning and artificial intelligence (AI) algorithms.
While accurate data is essential for the success of a manufacturing plant, human judgment remains a crucial element in making sound decisions. Connected worker platforms and their real-time data collection and analysis capabilities are not designed solely for a computer. Easy access to data also applies to the worker—integrated platforms allow users to navigate plant reports and receive alarms in real time. Workers with data at their fingertips facilitate more efficient operations and decision making.
In addition to the availability of operational data within the plant, connected workers also improve communications. A more worker-centric approach to connectedness expands the capabilities of digital tools and takes a purely equipment-based environment to a more inclusive workspace for people.
One way connected technologies manifest in daily communications is through streamlined scheduling and clear designation of responsibilities. A standard interactive interface allows teams to identify the required actions and the corresponding units responsible for execution. This level of information can feed back into the integrated platform for updates as jobs progress.
Improved connectivity also paves the way for more efficient long-distance communication. Within a plant, workers across various departments and production areas can reach each other easily via internal communication systems. Facilities spanning different regions can utilize more advanced forms of conferencing platforms to increase collaboration and conduct more productive discussions remotely.
A digitally mature system accurately tracks massive datasets from historical information. While this is a revolutionary feature in itself, emerging technologies can take such capabilities a step further to learn and predict outcomes.
Combining cloud computing, AI and machine learning advancements in the manufacturing industry reveals practical applications in improving quality control. Additionally, vision systems and radio frequency identification (RFID) technology allow precise location, identification and inspection of the most intricate parts. By training the system to identify which criteria define a quality standard against a reject, sensors and measuring equipment can assume the role of a highly trained eye.
With a unifying system that has the power to collect and analyze massive amounts of data, process improvements in quality control are an inevitable application. In the process of developing ways to automate quality control, the responsibilities of a connected worker shift and transform into a rather unconventional, modern role.
An essential aspect of sustaining business continuity in manufacturing is ensuring that workers have the vital skills to perform a job. Recent times have highlighted how resilience and adaptability are essential to remain competitive. While this can become challenging in a dynamic setting, a connected worker can become competent in their role much faster.
New hires and workers starting new positions need proper onboarding and training to ensure they have the right knowledge to effectively perform their jobs. More seasoned workers can also enhance their career-development goals by engaging in additional skills training. In more advanced settings, training the trainer can augment the workforce by developing subject-matter experts in specialized fields, opening up opportunities for maximizing the workforce’s potential.
In all scenarios and levels of training, a connected worker benefits from the availability of improved materials. The consistency and methodology of training processes in a connected workplace lead to higher levels of retention and effectiveness. Moreover, in a dynamic setting, the availability of training materials ensures the continuity of learning opportunities.
Digital technology not only helps machines and assets work more effectively and efficiently, it also helps the human component of a manufacturing facility evolve as the technology advances.
A connected worker solution allows teams and individuals to maximize the potential of emerging innovations as part of their working environment.
Connect With Us
