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Jinggeng digital intelligence supply chain
Jinggeng digital intelligence supply chain: Jinggeng SRM procurement platform is divided into two parts: procurement execution and procurement system, which is the digital full life cycle management of the whole process from supplier qualification, procurement bidding, procurement contract to procurement execution. On Jinggeng procurement platform, sourcing channels are open to the world, and are not limited to internal recommendations or formulated standards, so that suppliers can participate in the enterprise's fair, just and open procurement process on the same level, so as to achieve "sunshine procurement", so that enterprises can fully apply the procurement platform's interconnection, intelligence, rigor, standards, control and independent promotion of compliance procurement.
Jinggeng digital factory
Jinggeng digital factory is a novel manufacturing model with MES at its core. It operates according to the lean production organizational pattern, aiming to achieve business synergy, data-driven operations, human-machine collaboration, process auditing, data assessment, visual process enhancement, and data analysis among the eight major components: planning, technology, processes, equipment, workshops, process quality, warehousing logistics, and fixtures. It substantially improves the key indicators of manufacturing enterprises in PPM, FTT, OEE, CPK/PPK, in-process inventory age/quantity, etc. Jinggeng digital factory can increase production efficiency by more than 20%; The operating costs can be reduced by more than 20%; The defective rate of the product can be reduced by more than 20%; The energy consumption per unit output value can be reduced by more than 10%; The work in progress can be reduced by more than 10%, and the labor cost can be reduced by more than 5%.
Jinggeng cloud code
Jinggeng cloud code aims to help enterprises give priority to preparing basic data. It lays the foundation for system operation. Enterprises can quickly code materials by independently configuring coding schemes and description schemes, eliminating the problem of "one code with more than one item and one item with more than one code". According to industry rules and considering enterprise management needs, including production enterprise material basic/extended attributes, material description maintenance, material classification and name maintenance, material coding scheme, material description scheme, and code generation, Jinggeng Cloud Code Version S establishes unified coding rules; It helps enterprises standardize material specification descriptions, establish strict material weight checking rules, and strictly prevent the phenomenon of one item with multiple codes and one code with multiple objects.
Jinggeng Cloud Intelligent Manufacturing™
Jinggeng Cloud Intelligent Manufacturing™ is the first digital all-round lightweight tool for small and medium-sized manufacturing enterprises. It is a Saas product with production management as the core and runs through the whole process from order to delivery; It supports manufacturing features and functions such as process, work in progress, wages, piecework, and labor reporting, and comprehensively integrates the lightweight management system of production, sales, procurement, warehousing, finance, and personnel. It has the characteristics of being easy to learn, functional and cost-effective, helping the boss to have "numbers" in mind, control costs and increase efficiency. A set of cloud intelligent manufacturing only needs 1/10 of the controllable cost of traditional software to meet the basic needs of digital transformation, and saves the redundant investment of 6 systems. Cloud Intelligent Manufacturing™ is an outstanding technical achievement of Jinggeng. It is a cloud-based deployment, and ready-to-use, with impacts on production. Compared with the same type of solutions at home and abroad, its competitiveness is mainly reflected in cloud deployment and the support for flexible lease; The product is light enough, functional enough, and strong enough! It features unlimited product availability, peace of mind in usage, and high returns!
Gengyun industrial internet platform
Taking the integration of the whole manufacturing industry chain as the core, with a focus on the needs of industrial digital transformation, all-round business and management of internal management and external collaboration of small and medium-sized enterprises, on the one hand, Gengyun industrial Internet platform completes the full-line transformation of enterprises on the cloud, informatization, datafication, and intelligence, and creates various Saas products that are lightweight and full-process in the industrial Internet. On the other hand, it integrates industrial chain resources, builds all-round service platforms, and assists small and medium-sized enterprises to improve their development with the help of external resources, thereby promoting a virtuous circle of the entire industry. Identification resolution is a core product created by Jinggeng Company according to the strategic direction of national identification resolution and based on the development of the industrial Internet. On the basis of the secondary nodes, it strengthens application integration, enriches identification information, realizes cross-regional, cross-industry, and cross-enterprise information query and sharing, truly achieves positive monitoring and reverse traceability of products, and enhances the core competitiveness of brands. And through identification resolution, application scenarios such as big data decision analysis, product traceability application services, remote operation and maintenance application services, product lifecycle management services, supply chain management services, 5G+cloud -edge collaboration, etc. can be completed, to realize a full-chain cloud-edge collaboration solution for enterprises.
Case presentation

This project fully incorporates suggestions from Isuzu Qingling and the experience of the Thai production line. It tailors the design of the vehicle inspection data management system based on the actual situation of Qingling Motors. To meet the urgent need for vehicle inspection data management during RG09 mass production, it integrates Isuzu Qingling's existing vehicle inspection data tracing systems and historical data, facilitates the collection and management of vehicle inspection data, ensures traceability of critical vehicle components and key testing parameters, and effectively prevents omissions and errors in critical inspection items. The project integrates multiple existing traceability systems and historical data of Qingling, and establishes a vehicle inspection data management system using the same database and the same scanning terminal (including hardware and software). It realizes the new vehicle inspection data management system, collects the production management system vehicle data, key torque data, EOL data, OBD data, inspection line inspection project data, online inspection project data, repair and rework information data and key parts, such as airbag (43 kinds) QR code, builds online inspection, repair and final inspection task allocation and saves inspection results. 

By taking into account the actual production business model of Kairen factory (assembly & inspection process), Jinggeng has realized the integrated process standard of production-logistics execution with MES as the core and the digitalized workshop of production execution, progress control, online quality and logistics execution for Kairen. After the project is constructed, on-site product processes are error-proofed. PDA scanning is used for inventory operations, providing real-time feedback on the current status of the site and the quality condition of the products. Through equipment interconnection, equipment operation status, equipment comprehensive utilization rate (OEE), real-time plan and actual quantity completion rate of each equipment operation are displayed in real time. It feeds back the warehouse inventory in real time, and displays the material inventory quantity and safety stock in real time through inventory statistics. It feeds back the inventory of finished products in real time, records the on-site real-time in-out and out-of-warehouse conditions on the day, counts the total number of in-out and in-out warehouses this month, and displays sluggish reminders at the same time.

In order to realize the high-quality intelligent manufacturing strategy of Seres Company, it implements and implements the development plan of the procurement supply chain business, and realizes the goal of digitization, informationization and intelligence of the procurement supply chain business. Jingeng has built Seres Supply Chain Collaboration Platform (SCM) Project Phase II. The project was commenced in July 2022, and was launched in December 23. It started trial operation in January 2023, and has been fully launched at the end of March. According to the project plan, a total of 24 new functional modules have been developed in this phase. After the project construction, the cockpit large screen displays the current status of the supply system in real time, understands the supplier status in multiple dimensions, and displays the latest progress of each project in real time; The overall goal of the project construction has been achieved. It realized 1. Demand functions are fully online. Compared with manual offline operations, the efficiency is expected to increase by 20%-30%, for some operations (such as QSTC performance management) , it can even increase by more than 80%. 2. The problem of isolated islands of information between systems/departments has been avoided, one-point entry and multi-point sharing realize information transparency and information sharing, and support multi-dimensional and multi-channel information query. 3. It realizes the data intelligence of some businesses (automatic triggering of tasks, automatic warning of abnormalities), the progress and abnormality of various work tasks can be tracked online at any time, and detailed historical records are kept for each time node of early warning, which is convenient for data query and analysis. 4. Supplier information, quotations, contracts and other business data are stored in the server in a safe and orderly manner, which can be retrieved and queried at any time. Statistical and analysis reports are automatically generated as an output. In addition, data accumulation can form a large database, providing data source for data analysis, and laying a foundation for trend purchase. 5. By sorting out and optimizing the process, the procurement operation is standardized and compliant, human delays and errors are reduced, operational risks are effectively controlled, and cycle improvement is achieved.
Other displays

Chongqing Jinggeng is a digital service provider focusing on the automotive, motorcycle, agriculture, hardware industries, and provides industrial software and industrial Internet solutions. It has been recognized as the Chongqing Digital Transformation Promotion Center, one of Chongqing's Top 5 Industrial Internet incubation platforms, a "Specialized, Sophisticated, Featured, and New" enterprise, a National High-Tech Enterprise, and a National-level Science and Technology Enterprise. Chongqing Jinggeng is also recognized as a key listed cultivated enterprise in the digital economy industry of Dadukou District, Chongqing, a key enterprise in the Hundred Billion Digital Intelligence Industry Project, a key software enterprise in Chongqing, a Chongqing cloud service provider, a dual-service provider for industrial Internet cloud services in Chongqing and Chongqing-Sichuan, and a unit for Internet+ demonstration projects. It was selected as a pilot demonstration project for the development of big data and data governance-related industries in Chongqing, and has received honors including the Ministry of Industry and Information Technology's 5G+ Industrial Internet Outstanding Case, Chongqing's Top 10 5G+ Industrial Internet Cases in 2021, Chongqing's Top 10 Secondary Node of Identification Resolution, and Chongqing's Top 10 Industrial Internet Outstanding Cases in 2022.