On March 26, 2024, JD Group held its Supplier Conference in Beijing under the theme "Cooperation and Win-Win, Building the Future Together," bringing together partners from across the country. As a key partner in JD's smart logistics sector, Anhui Yufeng Intelligent Technology Co., Ltd. (hereinafter "Yufeng Intelligent") was invited to attend and received the "Best Partner Award." This award not only highlights JD Group's high recognition of Yufeng Intelligent's logistics equipment but also further confirms the strong and increasingly close partnership between the two companies. The partnership between both parties dates back several years. In 2022, YuFeng Intelligent provided JD Group with domestically produced stacker crane equipment for the first time. With outstanding technical expertise and reliable delivery assurance, this collaboration marked the beginning of their ongoing partnership. As a strategic partner in JD Group's intelligent logistics equipment sector, YuFeng Intelligent leverages its leading R&D, design, and manufacturing capabilities, along with a comprehensive full-link service system, to deeply engage in JD Logistics' automation upgrade projects. The company focuses on the independent R&D and lean manufacturing of intelligent logistics equipment such as stacker cranes and AGVs. Through modular design and standardized production systems, they create hardware solutions tailored to diverse scenarios. From precision structural component processing to complete machine assembly and debugging, YuFeng Intelligent has established a self-controlled manufacturing loop. Their equipment maintains high efficiency even under complex conditions, providing strong support for the stable operation of JD's intelligent warehousing. In terms of services, YuFeng Intelligent has established a one-stop service model covering the entire process from equipment manufacturing to implementation. Understanding JD's warehousing operations, their technical team ensures efficient coordination between equipment deployment and system integration through a rapid response mechanism. They also provide comprehensive operation and maintenance support throughout the project lifecycle, ensuring the stable operation of intelligent warehousing systems. Looking ahead, YuFeng Intelligent will continue to strengthen its collaboration with JD, jointly promoting innovations in intelligent logistics. The company is committed to expanding its technological applications across sectors such as pharmaceuticals, packaging, and logistics, aiming to facilitate the intelligent upgrading of warehousing and accelerate the digital transformation of supply chains.

On March 23, Professor Ye Jiangfeng, Associate Dean of the School of Business at Anhui University, and Professor Wei Huafei, Director of the Marketing Department, led representatives from the 2023 MBA cohort to visit Anhui Yufeng Intelligent Technology Co., Ltd. ("Yufeng Intelligent"). They engaged in in-depth discussions on the theme "Frontier Trends in Intelligent Logistics and the Core Logic of Enterprise Management Innovation," exploring new opportunities for university-enterprise collaboration. Wang Lei, Assistant General Manager of Yufeng Intelligent, and relevant department heads participated in the exchange. During the site visit, faculty and students toured the company's production lines, digital exhibition hall, and final assembly workshop. They observed the digital assembly processes of intelligent logistics equipment such as AMR forklifts and logistics robots, experiencing the innovative practices of the "smart factory." In his welcome speech, Wang Lei expressed that Yufeng Intelligent was honored to serve as a touchpoint for visitors to immerse themselves in the latest developments in intelligent logistics and hoped to deepen knowledge exchange and collaboration. At the themed seminar titled "Intelligent Chain Future, Unity of Knowledge and Action," the company systematically introduced its decade-long innovation journey: transforming from a traditional warehouse equipment manufacturer to an intelligent logistics system integrator, now offering comprehensive solutions that include intelligent storage systems, logistics robots, and digital twin platforms. Responding to questions about "core technology breakthroughs and ecosystem development," Wang Lei elaborated on the "hardware-software synergy" strategy—differentiated products like narrow-aisle forklifts establish competitive barriers, while proprietary WMS and WCS systems enable intelligent scheduling and optimization. The company aims to deepen industry-academia-research cooperation to build an intelligent logistics ecosystem. Associate Dean Ye Jiangfeng concluded by emphasizing the mutual empowerment value of university-enterprise collaboration: customized talent development injects new momentum into corporate growth, and MBA students' cross-industry resources facilitate precise industry demand matching. He noted that as manufacturing industry intelligence transformation enters a critical phase, companies must build organizational resilience with strategic focus and activate innovation through open ecosystems.  This visit bridged academic research and industry practice, offering valuable insights for future managers. Anhui University's MBA program continues to explore "scenario-based teaching" models, while Yufeng Intelligent contributes to talent development by sharing industry resources, enriching management talent cultivation and fostering innovation in the intelligent logistics sector.

According to the "14th Five-Year Plan for a Modern Energy System," the power grid must serve as the core platform to coordinate the large-scale development of new energy with the safe and stable operation of the power system. By advancing the digital upgrade of the power system, building new power system models, and deepening institutional reform, the plan aims to enhance technological innovation and intelligent O&M capabilities while strengthening power resource allocation. As a pillar of the national economy, the electric power industry must, while fulfilling its core role in supporting social development, build an intelligent and efficient warehousing and logistics system to boost its competitiveness. Given that power materials are diverse, have large demand volumes, and require timely supply, it is essential to scientifically plan warehouse layouts, optimize logistics architecture, and improve resource allocation efficiency to create a modern warehousing system that combines precise daily allocation with rapid emergency response, thus providing a solid material support foundation for the safe operation of the power system. PART ONE-Pain Point Analysis of Warehousing Upgrades in the Electric Power and Grid Industry The extensive variety of materials: spanning power transmission and transformation equipment, emergency repair tools, safety protection gear, etc. - presents significant challenges in categorical management. This complexity often leads to storage inaccuracies, inefficient retrieval, and may potentially cause repair delays due to material misidentification. High-Priority Emergency Response Demands: Power equipment failures may trigger large-scale power outages, necessitating rapid deployment of spare parts for emergency repairs. Conventional warehousing models exhibit slow response speeds, struggling to meet emergency demands particularly during nighttime operations or in remote areas. Challenges in Distributed Inventory Management: The widespread geographical distribution of power infrastructure creates coordination complexities for regional warehousing centers. This often results in uneven inventory distribution across service zones, leading to suboptimal resource allocation and increased operational costs. Data Latency and Information Silos: Manual inventory auditing processes cause delayed data updates (typically 24-48 hours) with accuracy rates below 85%, insufficient for real-time dispatching decisions. Compounding this issue, fragmented material management systems across departments maintain isolated datasets, preventing effective cross-functional coordination. Physical Space Constraints: Approximately 65% of power grid warehouses are retrofitted from legacy facilities, introducing inherent design limitations: Dimensional constraints in length/width, Restricted floor load-bearing capacity, Height limitations. These structural parameters fundamentally constrain storage optimization potential. PART TWO-Yufeng Intelligent Ele...