Artificial Intelligence () has made a tremendous impact across a number of industries, including manufacturing. Manufacturing, as an industry, has matured over time; with in the fold, the industry is set to radically evolve.
From the time the Industrial Revolution started, the focus of the manufacturing industry has been on reducing cost and the manufacturing time (time to market) by increasing operational efficiency and creating a safer work environment. Manufacturers have recently started focusing on improving the customer experience and making supply chains management even more complex. They are using the technology to make significant cuts in unplanned downtime to better design products. has the potential to transform manufacturing tasks like, visual inspection, predictive maintenance and even assembly. and its many perks
Manufacturing is a capital-intensive process. Once a plant is a set-up, replacing, removing or renovating is exorbitantly expensive. Monitoring results at each and every phase of the manufacturing process is possible because of . also allows the organisation to take corrective measures at the initial stage. This allows businesses to save up on a lot, especially on the investments that are usually spent on rectifying damaged products or problems related to any machinery. Plus, it ensures predictive maintenance of machines and optimises usage of assets. allows the organisation to take corrective measures at the initial stage
has the potential to transform manufacturing tasks
Improvement in the performance can happen with new machines, equipment and processes and thus, reduce redundancies. This improves the overall quality metrics. is proving to be an alternative to all of this and the price points are extremely competitive in nature. Manufacturing companies are finding it increasingly challenging to maintain high levels of quality and to comply with quality regulations and standards. This is because time-to-market deadlines are constantly decreasing. This is also because there is a rise in the complexity of products manufactured today.
Keeping product faults at bay
Today, a customer expects to have a product that is faultless. This is pushing manufacturers to use their quality matrices while understanding the damage that high defect rates and product recalls can do to a company and its brand. -based algorithms are used to notifying the manufacturing teams about the emerging production faults that are likely to cause product quality issues.
The rise of Quality 4.0
Data can be generated with the help of Quality 4.0. This data can help manufacturers know about the use and performance of their products available in the market. This information is important and crucial to the product development team, helping them make both strategic and tactical engineering decisions.
Making robots more efficient
Robotics, for the past couple of years, has become an integral part the manufacturing sector. There has been a considerable amount of improvement in the finesse, complexity, and sophistication of a task done by a because of the advancements has made. Tasks which were previously relegated to the human domain due to complexity and labour constraints are now routinely completed by robots. […]
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