Lantek

How does Changsha Meiyu Electrical operate efficiently?

Advanced MES & Analytics: From Machinery to the brain of the Enterprise
Until not very long ago, machines were totally dependent on orders from people. They were not autonomous and did not communicate amongst themselves, slowing production and thereby also making them more vulnerable to manual operating errors. Now, in the era of smart & digital factories, MES (manufacturing execution systems) continue to be the backbone that control and oversee everything occurring inside the plant, but they have now moved up a category, revolutionizing management and production.

Smart Nesting, when the tool and the engineer go hand in hand
Material waste and a lack of agility in nesting or the nesting of parts are two of the most common problems faced by metal processing companies which slow down the company’s response time for its clients and make the process more expensive. This is due to them not using the appropriate technology in order to fully exploit each piece of sheet metal during the cutting process and/or the fact that this process is completed manually or using slower solutions. Equally, the work of the production engineer mustn’t be knocked as they are experts in the optimization of nesting and machining; the maximization of the margin for each production order received depends on their intervention.

Manufacturing Analytics
CEOs ask themselves questions about how to improve their businesses. Why should I use Manufacturing Analytics in my company? Is it because it is a trend in the industry, and it is very cool to have it? Or, is it because of the ability to discover patterns and trends within our historical data and progress from reactive to proactive decision-making?