Why Technology Plays An Important Role In Optimising Manufacturing Processes
Technology also plays a crucial role in manufacturing competitive positioning. Adopting relatable and smart technologies to cut down negligible costs, time, effort and resource wastages, plus optimising the quality, timeliness and cost-effectiveness of manufacturing processes, is no longer a choice but an essential upgrade to most manufacturers. In the modern age, technology and manufacturer are inseparable, for the customer’s reliance, market position sustainability and keeping up to the rate of innovation is too important for a manufacturer to prosper. Thus, making the deployment and integration of technology a crucial step in optimising manufacturing processes.
What Technologies Optimise Manufacturing Processes, and How?
IIoT-driven Smart Machines- From Sensors to Mobile Robots
IIoT has the power to interconnect 1000s of smart machines and allow the user to enable integrated machine control in a single effort. It allows the manufacturing decision-makers to collect data, exchange and analyse, then transform raw data into impactful insights. Manual machine diagnosis and monitoring are exhausting and almost impossible for manufacturers that employ hundreds of smart devices in their manufacturing processes. This is why IIoT allows a data platform that helps the manufacturing decision-makers to track down machine anomalies, predict failures and improve the performance of machines with prioritised machine maintenance programs.
IIoT makes smart manufacturing-based machines powerful with robust digital ecosystems; smart interconnect, and holistic control over complex machine fleets. This technology allows machine-heavy manufacturing centres to boost the overall productivity, OEE (Overall Equipment Effectiveness) standards, efficiency and advanced functionality of manufacturing establishments.
Organisation-driven Data Algorithms for Automation
For example, using data and building AI and ML algorithms to execute automated machines for packaging optimises packaging machines. This leads to non-reliance on human workforces, brings down packaging speed from days to a few hours, chips down overall packaging costs and lets the manufacturers deliver the goods to the customer faster and in perfect quality.
Another Instance where organisation-driven algorithms can be used for automation is during manufacturing process inspection. Manufacturers can harness automation technologies to ensure that the assembly system is running at the best quality standards. Automated inspection technologies powered by AI and ML technologies lead to completing inspection routines of million-part jobs in just 10 to 12 minutes. These AI schemas and algorithms are trained to detect defects, eliminate risks and decrease the turnaround inspection time conveniently.
Realistic Visualisation Via Digital Twin
Digital twins enable an interactive model that illustrates the attributes and key metrics of production lines that are operating away from its user. This technology is used by manufacturing managers to pinpoint operational, performance and functional anomalies of production lines that are captured with analysing manufacturing line data. The actionable insights gathered by employing the digital twin helps production teams to rainstorm and tailor strategies to optimise the manufacturing processes based on real-time information.
The digital twin also makes root cause exploration easier than ever. Since it acts as an information hub for the abundance of data collected from production lines, it can indicate hidden causes too. It can highlight performance indicators by reducing variances and analysing hidden causes, which leads to end-to-end manufacturing process optimisation.
Will Technology Keep Surprising The Manufacturing World?
Technologies that are emerging today will soon be shaping the world tomorrow and well into the future – with impacts to economies and to society at large. Now that we are well into the Fourth Industrial Revolution, it’s critical that we discuss and ensure that humanity is served by these new innovations so that we can continue to prosper.
– Mariette DiChristina, Editor-in-Chief of Scientific American and chair of the Emerging Technologies Steering Committee