Intelligent technologies like machine learning and predictive analytics now enable businesses to analyze historical quality assurance data in the context of incoming information from live production runs.
FREMONT, CA: Robotics in manufacturing is barely anything new. So, companies that use robotics in intelligent ways to hit the right balance between quality and productivity are those that will differentiate themselves in the market. Below are two ways to achieve the same.
The productivity advantages of robots in manufacturing are evident and intuitive. Robots can run on a 24×7 basis at speeds that human teams cannot match. For the routine tasks of manufacturing operations, robots are ideally suitable. They do not get tired; they can be programmed to do whatever is required. Additionally, the safety issues that would be of concern for humans are effectively eliminated for robots.
Robots assist manufacturers in increasing production volume, yield, and throughput. Humans, meanwhile, can be put to work in fields of production that present fewer safety risks, engage less physical exertion, and need thinking and dexterity beyond what any machine can match. Leading enterprises are increasingly putting robots and humans together through the idea of cobots–where robots are designed to collaborate safely and competently with humans in the warehouse or on the shop floor. The approach allows for synergies where robots and humans each focus on the tasks for which they are best suited, resulting in greater productivity overall.
Intelligent technologies like machine learning and predictive analytics now enable businesses to analyze historical quality assurance data in the context of incoming information from live production runs. The process makes it possible to recognize anomalies, detect trends, and make predictions.
The result is the difference between the efficient path (which leads to plan execution) and the undesired path (directing to cost overruns and drops effectiveness). Earlier detection of quality issues means early intervention that leads to fewer products entering the undesired path. Consequently, intelligence, such as predictive analytics, the brain of manufacturing operations is introductory for any approach that uses robots to mechanize production. It is the intelligence of the technology, processes, and systems that give one the insight into what goes onto the shop floor.