Today, the opening match of the 2026 Scottish Premier League ignited the war at the Changzhou Olympic Sports Center, and the "Dinosaur Legion" faced the enemy at home. Cooperation and efficiency are the same on the playing field, and the same goes for the industrial field - layout, scheduling, dispatching, every line deserves a "best of the match" award.
Based on this, Jiuzhang Intelligence and Lishou Information jointly prepared this proposal to put forward our thoughts and plans on how to use intelligent layout and operations optimization to support the high-quality development of Changzhou's digital economy.
Changzhou City is located in the core economic zone of the Yangtze River Delta and has always been an important industrial town in China. In recent years, Changzhou City, based on its manufacturing advantages, has made every effort to promote the construction of a "new energy city" and formed a "new energy industry triangle" with new energy vehicles, power batteries, and photovoltaic new energy as the core. It has also taken the lead in the country in building three major 100-billion-level industrial clusters of new energy vehicles, power batteries and energy storage, and photovoltaics. In 2023, the output value related to Changzhou's new energy field will exceed 760 billion yuan, Li Auto's global headquarters will be located in Changzhou, and leading companies such as CATL will have in-depth layout.
The core competitiveness of the manufacturing industry lies not only in production scheduling and logistics efficiency, but also in the utilization efficiency of raw materials themselves. The cost of key materials such as new energy vehicle interior leather/seat fabric, battery structure circuit board (BMS PCB), and power battery pole pieces account for a large proportion of the total cost. Every 1% increase in material layout utilization can bring significant direct benefits to the enterprise. What is needed behind this is intelligent decision-making capabilities covering the entire link of "material layout-production scheduling-logistics scheduling-supply chain collaboration".
Shanghai Jiuzhang Intelligent Technology Co., Ltd. (hereinafter referred to as "Jiuzhang Intelligent") and Shanghai Lishou Information Technology Co., Ltd. (hereinafter referred to as "Lishou Information") have formed an in-depth technological alliance. The two parties have complementary capabilities and jointly build a full chain covering the "material end - production end - logistics end - supply chain end" The road intelligent optimization capability system has implemented a number of benchmark projects in automobile companies, electrical appliance manufacturing, new energy, logistics parks and other industries, helping customers achieve significant results such as increasing material utilization by 5~15%, reducing transportation costs by 10~30%, and shortening scheduling planning time by 80%.Jiuzhang Intelligent is willing to join hands with Changzhou City to deeply embed intelligent decision-making and layout optimization technology into new energy and advanced manufacturing industries, and help Changzhou build a digital transformation highland for smart manufacturing in the Yangtze River Delta.
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1. Analysis of the current status and situation of digital economy development in Changzhou
1 · Policy opportunities: The country, provinces and cities attach great importance to the digital economy
The 20th National Congress of the Communist Party of China clearly proposed “accelerating the development of the digital economy and promoting the deep integration of the digital economy and the real economy.” The national level has successively issued top-level documents such as the "Overall Layout Plan for the Construction of Digital China" and the "14th Five-Year Plan for Digital Economic Development", which lists the industrial Internet and intelligent manufacturing as key directions, and specifically supports the digital upgrade of the new energy industry.
Jiangsu Province has listed the digital transformation of the manufacturing industry as a core policy direction, promoted the three-year action plan of "Intelligent Transformation to Digital Transformation to Network Connection", and provided special policy support for industrial Internet logo analysis, digital twin factories, intelligent production scheduling systems, material optimization software, etc. Changzhou City’s “14th Five-Year Plan” digital economy development plan clearly states that by 2025, the added value of the core industries of the digital economy will account for 15% of GDP, which will significantly improve the level of intelligence in the manufacturing industry.
2 · Industrial advantages: Deep manufacturing foundation and rich optimization scenarios
Comparison of core advantages of Changzhou’s manufacturing industry and opportunities for intelligent decision-making/layout optimization:
3 · Main pain points: Material waste and intelligent decision-making capabilities dually restrict industrial upgrading
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EV interior layout relies on manual experience: New energy car seat leather/fabric layout has long relied on manual experience, with low and unstable utilization rates and considerable material cost losses;
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BMS and other PCB circuit board layouts are not optimized: PCB layouts such as power battery BMS and vehicle control modules lack algorithm optimization, resulting in significant waste of boards;
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The production schedule of new energy vehicles is highly complex: challenges such as the parallelization of multiple models, frequent order placement and real-time linkage of the supply chain make it difficult for traditional manual production scheduling to support lean manufacturing;
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The power battery supply chain coordination is weak: multi-level process data is fragmented, price fluctuations of key raw materials lead to delayed procurement decisions, and inventory backlogs and supply interruptions coexist;
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Logistics and distribution costs remain high: the logistics route planning of complete vehicles and parts is extensive, the vehicle full load rate is low, and there is a lack of global optimization capabilities for multimodal transportation;
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The digital foundation of small and medium-sized suppliers is weak: a large number of supporting small and medium-sized enterprises rely on Excel for production scheduling and manual scheduling, and are unable to collaborate with OEMs in real time.
2. Core competencies and differentiated advantages 1 · Overview of joint capability system
Jiuzhang Intelligent and Lishou Information have formed a strong alliance, and the two parties have complementary capabilities to jointly build an intelligent optimization solution system covering the entire link of Changzhou's new energy and advanced manufacturing:
● Jiuzhang Intelligence:Focusing on operations optimization and AI decision-making, it provides "process decision-making layer" capabilities such as VRP vehicle path planning, production scheduling optimization, supply chain intelligent decision-making, three-dimensional packaging optimization, and new energy logistics vehicle charging and scheduling;
● Head information:Focusing on intelligent material layout and visual cutting, it provides PINT automatic layout series (EV interior leather/fabric/BMS PCB/backplane film), virtual warehouse residual material management, visual positioning cutting, lightweight MES and other "material utilization layer" capabilities;
● Both parties join together:Covering the entire link of "raw material procurement - material layout - production scheduling - warehousing management - logistics distribution - supply chain collaboration", it provides one-stop intelligent optimization services for Changzhou new energy enterprises.
2·——Completely independent intellectual property rights, in line with Xinchuang requirements
Jiuzhang Intelligent has a combinatorial optimization solution framework with completely independent intellectual property rights, supports real-time optimization of 100,000-level order scale, adopts a learning + search hybrid solution method, does not rely on foreign commercial software such as Gurobi, CPLEX, etc., meets the requirements of the national information innovation strategy, is not affected by international trade disputes, and has important industrial security value.
Taking VRP vehicle path planning as an example, compare with foreign mainstream solvers:
3 · Full-link core technology capability matrix
4 · Proven customer value (real case data)
Logistics and supply chain optimization (Jiuzhang Intelligence):
● An automobile company: Optimizing parts transportation for 500+ supplier sites, 1,800 retail 4S stores, and 7 warehouses, supporting an average of 100,000 orders per day, saving 600 million to 1 billion yuan in annual logistics costs, reducing total mileage by 8% compared with the JDA system, and reducing the number of vehicles by 10%;
● A transportation company: Optimized the urban transportation and distribution dispatch of 56 vehicles, introduced the loading optimization algorithm, saved 80% of the dispatch plan preparation time, and significantly improved the full load rate;
● A new energy vehicle company: charging of 30 new energy logistics vehicles + coordinated freight dispatching, saving 5~12% of costs and improving charging pile utilization;
● A logistics park: Intelligent dispatching planning for multimodal transportation of trucks and trains. After successful launch, it supports 30+ truck dispatches and train timetables every day;
Intelligent layout and material management (affiliated to Shou Information):
● Automotive interior companies: Automotive seat cover/foot pad leather and sponge layout optimization, combined with the visual positioning cutting system, realizes full-process automation from layout calculation to precise cutting, significantly reducing material costs and labor dependence;
● PCB electronics manufacturing enterprise: PCB layout optimization algorithm has been deeply recognized and verified by Shennan Circuits (SCC), supports layout optimization under complex constraints, improves board utilization, and directly reduces the manufacturing cost of electronic modules such as BMS;
● Sponge/soft packaging material companies: PINT path version is applied to sponge/foam materials to optimize cutting paths and reduce material waste; the virtual warehouse system realizes digital management of materials and supports optimal remaining material matching;
● An electrical appliance manufacturing company: Three-dimensional packaging optimization, processing 50,000 cartons every day, saving an average of 30% of packaging material costs compared to manual labor; at the same time, it implemented storage space optimization and picking path optimization, and the system responsiveness was significantly improved.
3. Overall suggestions for promoting the development of Changzhou’s digital economy 1 · Overall idea
It is recommended to take "scenario-driven, algorithm-empowered, platform support, gradient promotion" as the core concept, closely follow Changzhou's new energy and advanced manufacturing leading industries, focus on the four major decision-making pain points of material layout, production scheduling, logistics scheduling, and supply chain collaboration, and promote the implementation of intelligent optimization in hierarchical classification to form a "1+N+X" overall pattern:
● 1 regional industrial intelligent decision-making public service platform (including material layout optimization service, digital base support)
● N intelligent optimization benchmark scenarios in key industries (EV interior layout, BMS PCB layout, vehicle scheduling, power battery supply chain, etc.)
● Comprehensive intelligent transformation of material utilization and production decisions of X companies (global scale expansion)
2 · Key Initiative One: Building Changzhou Industrial Intelligent Decision-making Public Service Platform
Create a regional industrial optimization platform that integrates data aggregation, algorithm invocation, material layout optimization, and decision-making visualization, and use the AaaS model to lower the threshold for small and medium-sized enterprises.
Construction path:
● The first phase (0~6 months): Build the platform infrastructure, deploy VRP path planning, production scheduling and PINT nesting core algorithms, and connect to the Changzhou Industrial Internet platform;
● The second phase (6~18 months): The first batch of new energy vehicle, power battery, and photovoltaic industry models will be online, and 50 key enterprises will be connected to verify the cost reduction and efficiency improvement results of the algorithm;
● The third stage (18~36 months): comprehensively promoted to the entire manufacturing industry in Changzhou, serving more than 500 companies, forming a regional-level optimized data asset pool.
3 · Key Initiative 2: Create a benchmark scenario for industry intelligent optimization
4 · Key Measure Three: Promote the gradient intelligent transformation of enterprises
5 · Key Initiative 4: Build a talent ecosystem for the digital economy
● 与常州大学、常州工业职业技术学院、江苏理工学院等本地高校合作，开设运筹优化、AI排料、供应链AI等专业课程；
● Cooperate with universities and scientific research institutes in the Yangtze River Delta to establish the "Joint Research Institute for Industrial Intelligent Decision-making" in Changzhou, focusing on cutting-edge topics such as supply chain optimization and material layout optimization in the new energy industry;
● Launched a dual-track certification training system for “Intelligent Decision Engineer” and “Intelligent Layout Engineer” to connect with Changzhou’s “Intelligent Reform and Digital Transformation” policy;
● Establish a "digital craftsman" evaluation mechanism to encourage front-line employees in the manufacturing industry to participate in production decision-making and digital transformation of material optimization.
4. Suggested cooperation models and resource investment 1. Suggestions on government-enterprise cooperation framework
2 · Three-year action road map
3· Expected performance indicators
5. Relevant policy suggestions for Changzhou Municipal Government
1 · Improve the digital economy policy system
● The "Three-Year Action Plan for the Intelligentization of New Energy Industry in Changzhou" was released, which listed "material utilization improvement" and "digital transformation rate" as core assessment indicators, which are highly coordinated with the "New Energy City" construction plan;
● Establish special funds for industrial AI and intelligent decision-making/layout optimization, and provide subsidies or discounted loans for projects such as EV interior layout, BMS PCB layout, production scheduling optimization, and supply chain intelligence;
● Incorporate digital transformation rate and material utilization rate into the performance evaluation index system of each district, city and park;
● Establish a chief digital officer (CDO) training program to support new energy chain main companies in introducing or cultivating intelligent decision-making and material layout optimization management talents.
2 · Optimize business environment and data policies
● Promote the construction of industrial data rights confirmation and safe circulation mechanisms, especially to dispel the concerns of new energy OEMs in sharing supply chain data and material data;
● Establish a data trusted circulation pilot area to explore elemental transactions of logistics data, production data, and material data in the new energy industry chain;
● Provide special preferential treatment in housing and taxation for the introduction of high-level talents in the fields of intelligent decision-making, material layout optimization, and operations optimization, and expand the scope of attraction in conjunction with the "Dragon City Talents" plan.
3 · Strengthen collaborative innovation among industry, academia, research and application
● Support the establishment of the "Joint Research Institute for Industrial Intelligent Decision-making and Layout Optimization" in Changzhou, introducing the scientific research strength of operations optimization and graphics algorithms from universities, and focusing on core topics such as new energy EV interior optimization and BMS PCB layout;
● Build a tripartite collaborative innovation mechanism between the government, platform companies, and user companies to accelerate the industrialization of algorithm results;
● Encourage local enterprises to participate in the application for major national and provincial industrial Internet and intelligent manufacturing projects, and rely on Changzhou's new energy industry to strive to create a national second-level node for industrial Internet logo analysis.
Conclusion
The digital economy is not a virtual economy, but a new qualitative form of the real economy. Changzhou has the most competitive new energy industry ecosystem in China. Every new energy vehicle that rolls off the production line in Changzhou, from every square centimeter of EV interior leather, to every sheet of BMS circuit board, to every kilometer of transportation route of the vehicle leaving the factory, contains space that can be deeply optimized by algorithms.
The combined capabilities of Jiuzhang Intelligence and Lishou Information combine these"Invisible waste"become"Calculated Savings"——Use real algorithms that have been verified in scenarios such as vehicle companies, new energy vehicle companies, and PCB manufacturers to help Changzhou's manufacturing industry achieve a fundamental transformation from experience-driven to data-driven, and from manual scheduling to intelligent decision-making.
We sincerely look forward to in-depth exchanges and cooperation with the Changzhou Municipal People's Government and relevant departments to jointly build Changzhou into a benchmark city for intelligent layout and intelligent decision-making in the new energy industry in the Yangtze River Delta and even the country, and use digital technology to empower a new chapter in the construction of a "new energy city."
Appendix: List of Joint Core Services
*Part of the content in this article was generated with the help of AI
Reporting unit | Jiuzhang Intelligent (United Lishou Information)
Machine-translated from the Chinese original 智造开球 | 久章×隶首联合助力推进常州市数字经济高质量发展的建议书 (published 2025-04-11). WeChat original ↗