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Devices and Technology - Blood glucose

Automatic assembly machine for insulin pen needle

Traditional manufacturing of insulin pen needles cannot guarantee adequate and consistent product quality and productivity, which in turn increases production costs considerably due to its dependency upon labor force (especially during assembly and detection) and proficiency level.Against this bottleneck in the industry, Maider has independently developed an automatic assembly line for insulin pen needle, an industry-leading intelligent manufacturing system for medical consumables. Deviating from traditional manufacturing that relies on manual assembly, this system is fully automatic and encompasses the entire manufacturing process, ensuring the efficient and reliable assembly of insulin pen needles and helping large-scale medical enterprises achieve digitalized manufacturing, which minimizes their order delivery time and production costs and support them to reach the productivity that is comparable with that of world-class medical enterprises.

Features

High automation/productivity. The fully-automatic assembly process possesses various technologies, including high-speed automatic material-supply screening and efficient and stable welding. In contrast to traditional manufacturing that relies on manual assembly, this system effectively ensures a high level of product cleanliness, significantly increases the yield rate, and leads to meaningful improvement in productivity

High accuracy/quality. This assembly line, made possible by precise mechanical structure and unique process design, achieves highly-accurate procedures of needle down, siliconization, membrane forming, welding, and assembly. Thus, the final insulin pen needle is comparable with those from world-class medical enterprises in quality

Modular design. This design facilitates layout and installation according to clients' actual manufacturing environment while allowing easier maintenance and repair

Intelligent detection: An original sealing structure prevents false-positive results caused by leakage

Real-time data collection. This system integrates a data collection module and forms data charts at the terminal to facilitate intelligent manufacturing

Remote diagnosis. This system integrates the module of Internet of Things for such a diagnosis