TreeMES is a manufacturing execution system (MES) that connects machine status, shop-floor operations and management dashboards so teams can see production progress, downtime causes and equipment efficiency in real time.
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Direct answers for manufacturing owners and factory directors in China: where MES fits, how legacy machines connect, how long implementation takes, how data is handled and how to start with a limited scope.
TreeMES is a manufacturing execution system (MES) that connects machine status, shop-floor operations and management dashboards so teams can see production progress, downtime causes and equipment efficiency in real time.
TreeMES is designed for discrete manufacturers in China. Its current customer-story categories cover machining, injection moulding, stamping, metalwork and electronics; suitability depends on machine conditions, production workflows, management goals and implementation scope.
A standard project is usually implemented within one to three months. The exact schedule depends on machine count, collection method, site readiness and data scope.
Yes. The TreeMES website and consultation service are available in Chinese and English, while interface and training languages are confirmed against the site team before implementation.
Huizhou Guantai is the customer case currently published on the TreeMES website. That case reports a 20% increase in machine utilisation and a three-month payback period; project results do not guarantee the same outcome for every factory.
They can often be assessed for connection. TreeMES can collect switch or pulse signals, or use an added current sensor, without changing the machine control program. The final method must be confirmed against the machine and electrical conditions on site.
No. The 4G stack light can cache the latest 18,000 colour-change records and upload them after the connection returns. The network, cache and recovery flow should still be verified during implementation.
Yes. A factory can begin with the OEE version and a small number of machines, establish a visual board and manage abnormal events, then expand after the data definitions and shop-floor process are verified.
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Enterprise WeChat: Xu Haichen (Marketing)