Qingdao Haijia Machinery Group Co., Ltd.

Continuous R&D innovation is the key to Haijia's steady growth. Haijia has achieved self-production of all the important parts on the main machine through technological transformation, paid attention to the training and introduction of R&D talents, and has a professional R&D center for shuttleless looms in China with 54 independent intellectual property rights and 12 registered trademarks, and can develop different professional models and personalization according to customers' needs.

Combining the concepts of technology, fashion and green, we designed and built a digital intelligent factory with an annual capacity of 12,000 sets of high-end shuttleless looms. It has the world's first pulsating assembly line in the spinning machine industry, 9 Japanese Makino and Mazak automatic flexible processing lines, automatic electrophoretic spraying line and other automatic equipment. Develop and apply high-end shuttleless loom intelligent manufacturing whole process information management system, realize the deep integration of automation and informationization, lead high-end loom digitalization and standardized production, and become a model of intelligent manufacturing in the shuttleless loom industry.

"Create value for customers with quality" is the quality management concept that Haijia has always insisted on. Haijia carries out strict traceable standardized quality control of the whole process from material selection, processing, painting to final assembly, and implements full quality management to strengthen self-inspection, mutual inspection and special inspection to produce high quality products.

HAIJIA realizes the refined management of after-sales service through the product remote operation and maintenance platform. First, based on the IOT platform, we collect and monitor the operation status, production parameters and other data of the equipment sold by HAIJIA in real time, and assist in fault diagnosis and troubleshooting according to the equipment operation parameters and equipment alarm information; second, we take the initiative to serve through the platform to improve user satisfaction; third, we conduct statistical analysis through equipment fault classification to guide equipment update and iteration.