“Look, I can understand the operation of the entire factory and the sales of the store through my mobile phone.” On October 19, in the office of Zhu Weixiang, general manager of Zhejiang Snow Leopard Clothing Co., Ltd., Haining Economic Development Zone, Haichang Street, He is using a mobile phone app to check the factory operation.
Zhejiang Snow Leopard Clothing Co., Ltd. (hereinafter referred to as Snow Leopard Clothing) was founded in 1984 and has been engaged in the field of leather and fur clothing for more than 30 years. As a traditional clothing company, Snow Leopard Clothing actively uses digital transformation to build smart factories and promote the improvement of corporate operations and management.
As early as more than ten years ago, Zhejiang Snow Leopard Clothing Co., Ltd. was ahead of the industry in actively exploring intelligent transformation, and achieved standardized production and traceability of leather clothing with a QR code in the production process. . In 2016, Snow Leopard Clothing actively responded to the national “Made in China 2025 Plan” and promoted enterprise intelligent manufacturing and integration of informatization through its own informatization construction.
It is understood that the Snow Leopard Digital Factory project has a total investment of more than 5 million yuan. It will carry out intelligent transformation of existing sewing machines and quality inspection stations, introduce UHF RFID passive phased array control system, RFID inventory robot and other equipment, and integrate the ERP system , OA system, MES system, distribution system and other advantages, revitalize traditional information system data islands and enhance the value of enterprise management data chain.
For example, on the production side, production orders are automatically scheduled, and products can achieve lifelong online quality monitoring and tracking, realizing online visualization and mobile operations of all elements of the production site.
In the production workshop of Snow Leopard Clothing, the reporter saw that every worker had a small monitor in front of his workstation. What do these displays do?
Zhu Weixiang told reporters that this is called an industrial computer. Workers can understand the work to be done today through the industrial computer. Complex process procedures that were previously viewed manually can be seen at a glance through the machine, which greatly improves production efficiency. At the same time, managers can also understand production progress, view the production process, trace production responsibilities, and control product quality through smart terminals.
In Zhu Weixiang’s view, the construction of digital factories not only reduces manpower and improves production efficiency, but also provides more timely information for business decisions. “The sales status of which store is displayed here. Once a certain product is out of stock, the system will issue an alarm in real time.” Zhu Weixiang said that in the past, when a new season of clothing was launched, it needed to be stocked 2 months in advance. Now it only needs to be stocked in advance. 15 days is enough. Once a hot-selling product is released that season, he can use data analysis to make scientific predictions and stock up.
Through the creation of digital factories, smart genes have penetrated into the “every corner” of Snow Leopard apparel. “It’s up to the employees to decide what to eat for lunch.” Zhu Weixiang said that the canteen will launch a menu every day, and workers can choose their favorite dishes by ordering on their mobile phones. The amount of dishes depends on the order quantity, which not only meets the tastes of employees but also Waste is avoided.
At present, the Snow Leopard Digital Factory project has been implemented in supply chain, production, logistics, sales and other fields to optimize corporate business processes, improve efficiency, let digital generate benefits, and continuously improve the core competitiveness of enterprises.
Keywords:
Traditional clothing enterprises intelligent wings
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