
Concentrate and forge ahead with determination
Under the wave of digital economy,5G、 Big data, industrial Internet, artificial intelligence and other digital technologies have accelerated their penetration into the traditional manufacturing industry, and the integration of data and reality has continued to deepen, becoming the core driving force for the transformation and upgrading of the manufacturing industry. The digital transformation of manufacturing industry is not only the key to enhancing competitiveness and achieving sustainable development for enterprises, but also an important engine for optimizing industrial structure, promoting new business models, and driving high-quality development of local economy.
In order to implement the decision-making and deployment of digital transformation in the manufacturing industry at the provincial and municipal levels, the Municipal Bureau of Industry and Information Technology focuses on the pain points and difficulties of enterprise transformation, and extracts them10 highly representative typical cases of digital transformation. The case aims to provide enterprises with valuable transformation paths and practical references, stimulate innovation and exploration enthusiasm, jointly promote the digital, networked, and intelligent upgrading of the manufacturing industry, and inject strong momentum into the high-quality development of the city's industrial economy.Third issue publicationZhongke Intelligent (Shandong) Co., LtdDigital transformationcase。
with“MES+Smart Warehouse”core
promoteElectrical ManufacturingnumberCollaborative improvement of digitalization and efficiency
Zhongke Intelligent (Shandong) Co., Ltd. was established in2022In the year, we will focus on core technologies of smart grid and new energy, and deeply cultivate three major fields: intelligent electrical manufacturing, high-precision copper based new material production, and research and development of Internet of Things technology. The core products include smart grid equipment, copper based new materials, energy storage new energy equipment, and high-end cabinets, which are widely used in key scenarios such as smart grid construction and new energy generation. With excellent technical strength and green development concept, the company has successivelyawardedShandong Province Specialized, Refined, Unique and New Small and Medium sized EnterprisesShandong ProvinceGreen factories, etcmultipleHonorary title.

1Build an integrated network and intelligent operation and maintenance platform to solidify the digital foundation。adoptGPONNetworking mode, set up gigabit fiber andWi-Fi6Deeply integrated network architecture achieves seamless coverage of workshop and warehouse networks, reducing data transmission latency30%The above fully meets the needs of production equipment networking and real-time data exchange. Synchronize the construction of an intelligent operation and maintenance management cloud platform and complete the warehousing management system(WMS)Manufacturing Execution System(MES)Through the intensive deployment of core systems, comprehensive data such as device operating status, performance indicators, configuration information, and system logs are integrated to achieve integrated functions such as data collection, detection, backup, client management, database control, and task scheduling, achieving seamless connection and efficient collaboration between devices and various systems.

2、 Implementing equipment data acquisition transformation andDeploying MES system to enhance production control efficiency.For Savani sheet metal production line, fiber laser cutting machine, etc85Install industrial sensors on the core production equipment to fully realize equipment networking and all factor data collection. Deploy customized machiningMESBuild a digital production management system with intelligent scheduling, quality traceability, and equipment monitoring as the core。Intelligent SchedulingmoduleIntegrate procurement and production instructions, dynamically adjust order priorities, match equipment capacity optimization plans, and enhance the scientificity and flexibility of planning; Quality TraceabilitymoduleBy using a unique identification code (batch number)+Associate the entire process data with serial numbers, build a traceable chain, efficiently locate problems, and improve traceability efficiency; Equipment MonitoringmoduleReal time collection of operational data, building a fault warning mechanism based on warning and diagnostic models, improving maintenance efficiency, and reducing the risk of unplanned downtime. At the same time, the workshop visualization data dashboard updates key information such as production progress and equipment status in real-time, providing data support for management to dynamically allocate resources and make accurate decisions.


3、 Promote the intelligent upgrade of warehousing and build an efficient material management system。Initiate the upgrade and transformation of traditional warehouses to intelligent three-dimensional warehouses, and deploy them2Platform load1000KGEquipped with laserSLAMNavigation TechnologyAGVRobots achieve full process automation of material storage and cross regional transportation, significantly reducing manual intervention. Deep integration warehouse management system(WMS)Automated Guided Vehicle System(AGVS)Build an integrated warehousing and logistics platform to achieve real-time data exchange between the two systemsAGVTask generated automatically. The platform relies on dynamic task allocation algorithms and intelligent obstacle avoidance technology to prioritize the processing of high-value materials and ensure core production needs; By uniquely identifying the material batch, abnormal situations can be quickly located and traced; Intelligent optimization of storage location planning based on historical operational data to free up storage space; with the help of3DReal time monitoring of visual modelsAGVOperating status, timely warning and rapid disposal of abnormal situations, comprehensively improving the operational efficiency and management level of intelligent warehousing.


1The product quality has significantly improved.Effectively addressing industry pain points such as missed manual inspections and poor quality traceability, the product defect rate has increased3.2%drop to1.1%The positioning time for defective products has been significantly shortened, and the incidence of customer quality objections has decreased60%Build market competitiveness with stable product quality.
IISignificant optimization of production efficiency。Significantly improve issues such as insufficient equipment collaboration and slow order response, and increase production efficiency50%Overall production efficiency has been improved20%The utilization rate of core equipment65%Ascend to92%Timely delivery rate of orders82%upgrade to98%Above, the production cycle starts from45Days shortened to31The ability to quickly respond to market demand has significantly increased.
IIIEffective control of operating costs。Successfully solved the two major problems of inventory backlog and high equipment maintenance costs, with inventory turnover rate increasing from3Upgrade to5.2Accumulated reduction of inventory backlog costs250Ten thousand yuan; Reduce equipment maintenance costs40%Reduce maintenance and inspection labor costs60%To achieve the coordinated promotion of cost reduction, efficiency improvement, and high-quality development.
