The first season of the industrial Internet small frame explore ③ | Make manufacturing more "smart"?Platform empowerment and transform "tailoring" for enterprises

Qingdao Daily/Guanhai News, September 16th. Today, digital transformation has become a "compulsory course" for many companies. Tunny PaaS Industrial Internet Platform (hereinafter referred to as "Tunny PaaS Platform"), independently developed by Qingdao Huazheng Information Technology Co., Ltd. Integration and data sharing of equipment. In this issue of "Industrial Internet Small Frames" focuses on Huazheng Tunny PaaS platform, to see how companies can use the platform to empower, and complete the "manufacturing" to "intelligent manufacturing".

Huazheng Tunny PaaS Industrial Internet Platform

The platform empowers to make manufacturing more "smart"

"The Tunny PaaS platform builds a modern supply chain with independent technology, solves the problems faced by the intelligent manufacturing process of the enterprise from the perspective of the entire industry chain, and meets the business and management needs of enterprises." Industrial digital transformation operating system, the platform starts from the four dimensions of device reliability management, process optimization analysis, hazardous monitoring, and risk assessment. It includes four complete systems of data standards, information security, knowledge management, and process planning to assist enterprises for quality and quality. Optimization of control and production safety, the entire process of closed -loop raw materials supply, manufacturing, logistics transportation, product quality inspection, and product sales.

How to make manufacturing more "smart"? The Tunny PaaS platform covers the digital intelligent operation center in the chemical industry, which brings together the entire process data from raw materials collected to sales, and realizes comprehensive digital management of intelligent manufacturing, safety production, industrial collaboration, and supply chain management. Through the platform, companies can grasp the status of production resources in real time. At the same time, with the optimization of the full life cycle management system and the production scheduling system of the product, the use of raw materials and energy consumption will be saved, thereby further promoting the reduction of costs and efficiency of enterprises, and effectively responding to the challenges brought by various uncertain factors in the internal and external. Copy the needs of changing upstream suppliers and downstream customers.

"Measured Tailoring", accelerate the transformation and upgrading of the enterprise

Han Tao said that based on the Tunny PaaS platform, Huazheng has transformed "quantitative clothes" for digitalization of different enterprises, creating a smart train industrial Internet platform, smart chemical big data comprehensive management platform, smart environment industry Internet platform, and port container smart loading and unloading platform. For the remaining industry platform, there are currently more than 300 online enterprise users. Among them, Huazheng's smart train industrial Internet platform for rail transit has provided a reliable basis for equipment safe operation, maintenance plan and spare parts plan through the interconnection of the entire train data.

As a leading enterprise for aramid production, Taihe New Materials Co., Ltd. uses the TUNNY PAAS platform as the hub to build a comprehensive big data management platform to pay attention to the procurement, inventory, production, logistics, marketing, and security and environmental protection value chain. The existing business model is optimized and technological innovation, thereby improving production efficiency by 20%, and an increase in the comprehensive utilization rate of resources by 15%.

In the later period, Huazheng will continue to cultivate the digital transformation service market of the enterprise, rely on the platform to gather the value chain resources, realize the optimization of resources, shape the data -driven ecological operation capabilities, and provide the application plan for the Internet of Things industry with a full life cycle. (Qingdao Daily/Guanhai Journalist Zhao Wenyuan/Wen Yin Yawei Zhao Wenyuan Liu Qin/Video)

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