The increasing market of subsides, there is a rise in demand for customized, unique and personalized products over standard products. The customers also expect to give the lowest prices and get the best products. However, poor demand forecasting, capacity planning, supply chain bottlenecks, unexpected equipment failures, and downtimes and inefficient or unsafe workplace processes prove to be as some of the critical hindrances in the manufacturing sector. In order to meet the changing demands of the market and overcome these challenges, the manufacturing companies must depend on, machine learning, automation, computer vision, and other fields of artificial intelligence. Artificial intelligence can also be used in determining the presence of a pattern in an image also known as pattern detection. The pattern could be a face, an object, a texture, a shape, and others.
Artificial intelligence in emerging markets
Manufacturing companies face a huge problem of thin profit margins and high capital investments which results in outsourcing of manufacturing activities to low-wage countries. However, if the standards of living are raised in these countries and then the need for automation and modernization makes artificial intelligence implementation more feasible option. Companies develop applications for artificial intelligence that will make entirely new business processes feasible and not just will not just automate tasks, like the custom configuration of products to individual customer requirement.
In the manufacturing department, there are many little details that often go unnoticed or are not visible to the human eye. Advanced technologies like artificial intelligence and machine learning help to find microscopic faults in the products like circuit boards at resolutions which are well beyond to the human vision. Also, the use of robots by manufacturing companies is becoming very popular these days. These robots can easily and productively work with human colleagues and can take instructions which also include new instructions which are not present in the robot’s original programming. Therefore, better machine senses will result in a safer workplace in the long run.
Supply chain efficiency
Artificial intelligence also has an impact on areas of manufacturing that are not related to robotics. AI can be used to supply to the chain of manufacturing companies which can forecast geographic markets, patterns of demand for products across time and socioeconomic segments while accounting for political developments, macroeconomic cycles and even weather patterns using different algorithms. Artificial intelligence can also carry out predictive maintenance for equipment that has sensors for tracking the operating conditions and has the performance of factory tooling, through which can be learned the prediction of breakdowns and malfunctions and taking corrective actions.
Automated quality control
Artificial intelligence can help manufacturing companies to deal with unforeseen downtimes; low productivity and low yield which can in-turn help in faster feedback loops. If the AI is worked on, it can help to ensure accuracy and increase the speed of the processes rather than relying on humans for the inspection in between the processes. It also helps in quality control which has chances of failure to detect errors.
These all are the benefits of the artificial intelligence manufacturing industry.