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A proposal from Jiuzhang and Lishou to jointly promote the high-quality development of the digital economy in Yongkang City

As the hardware capital of China, Yongkang City has long been based on manufacturing. It has hundreds of billions of industrial clusters such as door industry, kitchen and bathroom, fitness equipment, automobile and motorcycle accessories, etc., and its products are exported to more than 180 countries and regions around the world. However, with the restructuring of the global industrial chain, rising raw material costs and upgrading of the consumer market, Yongkang's manufacturing industry is facing a critical transformation window period from a "manufacturing city" to a "smart city".

As the hardware capital of China, Yongkang City has long been based on manufacturing. It has hundreds of billions of industrial clusters such as door industry, kitchen and bathroom, fitness equipment, automobile and motorcycle accessories, etc., and its products are exported to more than 180 countries and regions around the world. However, with the restructuring of the global industrial chain, rising raw material costs and upgrading of the consumer market, Yongkang's manufacturing industry is facing a critical transformation window period from a "manufacturing city" to a "smart city".

The core competitiveness of the manufacturing industry is essentially a competition of resource allocation efficiency - including not only the efficiency of production scheduling and logistics, but also the utilization efficiency of raw materials themselves. In areas such as door panels, fitness equipment sponge padding, and metal blanking for automobile and motorcycle parts, the material cost accounts for as much as 40 to 60% of the total cost. Every 1% increase in the layout utilization rate can bring considerable direct benefits to the enterprise. What is needed behind this is not only automation equipment, but also intelligent decision-making capabilities throughout the entire link of material layout, production scheduling, logistics dispatch, and 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 to jointly build a full-link intelligent optimization covering the "material end - production end - logistics end - supply chain end". It has implemented a number of benchmark projects in industries such as auto parts, electrical appliance manufacturing, hardware processing, and logistics parks, helping companies achieve significant results such as increasing material utilization by 5 to 15%, reducing transportation costs by 10 to 30%, and shortening scheduling planning time by 80%. Jiuzhang Intelligent is willing to join hands with Yongkang City to take intelligent decision-making and layout optimization technology into the hardware manufacturing industry and help Yongkang build a demonstration highland for industrial intelligence in the Yangtze River Delta.

Total text: 7325 words

Estimated reading time: 10-15 minutes

1. Analysis of the current status and situation of digital economy development in Yongkang

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.” At the national level, top-level documents such as the "Overall Layout Plan for the Construction of Digital China" and the "14th Five-Year Plan for Digital Economy Development" have been issued, listing the industrial Internet and intelligent manufacturing as key directions. Zhejiang Province continues to promote the construction of "Digital Zhejiang" and "Future Factory", and Jinhua City clearly regards the digital economy as an important engine for high-quality development.

In the field of intelligent decision-making and material optimization, national policies particularly emphasize the promotion of operations optimization, deep integration of artificial intelligence and the real economy, and support the digital upgrade of enterprises in supply chain management, production scheduling, material utilization improvement, etc., providing strong policy endorsement for the joint program to be implemented in Yongkang.

2 · Industrial advantages: Deep manufacturing foundation and rich optimization scenarios

Comparison of Yongkang’s manufacturing core advantages and opportunities for intelligent decision-making/layout optimization:

3 · Main pain points: Material waste and decision-making efficiency double restrict industrial upgrading

2. Core competencies and differentiated advantages 1 · Overview of joint capability system

Jiuzhang Intelligence 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 chain of Yongkang hardware manufacturing:

2·——Completely independent intellectual property rights

Jiuzhang Intelligent has a combinatorial optimization solution framework with completely independent intellectual property rights, supports real-time optimization of 100,000-level order scale, and adopts a learning + search hybrid solution method. Compared with solutions that rely on foreign commercial software such as Gurobi and CPLEX, it is more efficient, is not affected by international trade disputes, and meets the requirements of the national information innovation strategy.

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, and reducing total mileage by 8% compared with the JDA system;

● A transportation company: Optimized the urban transportation and distribution dispatch of 56 vehicles, saving 80% of the dispatch plan preparation time, and significantly improving the full load rate;

● 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;

● 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):

● Hardware/furniture board companies: PINT board layout system, the board utilization rate is increased by 5~15%, the layout calculation time is shortened from hours to minutes, and it is deeply integrated with the laser/vibrating knife cutting machine to realize the automation of the entire process from layout to cutting;

● Sponge 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 sponge materials and supports optimal remaining material matching and online allocation of cutting tasks;

● PCB companies: The PCB layout optimization algorithm has been deeply recognized and verified by Shennan Circuits (SCC), supports layout optimization under complex constraints, and improves board utilization;

● Automotive interior companies: Seat cover/foot pad leather and sponge layout optimization, combined with visual positioning cutting, realizes automation of the entire process from layout to precise cutting, significantly reducing material costs.

3. Overall suggestions for promoting the development of Yongkang’s digital economy 1·Overall ideas

It is recommended to take "scenario-driven, algorithm-empowered, platform support, gradient promotion" as the core concept, center on the leading industry of Yongkang hardware manufacturing, 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, base support)

● Benchmark scenarios for intelligent optimization in N key industries (leading demonstrations in door industry layout, fitness equipment layout, automobile and motorcycle parts logistics, etc.)

● Comprehensive intelligent transformation of material utilization and production decisions of X companies (scale expansion)

2 · Key measures one:

Building Yongkang 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 optimization and PINT nesting core algorithm, and connect to the Yongkang Industrial Internet Platform;

● The second phase (6~18 months): The first batch of door industry, fitness equipment, and automobile and motorcycle parts industry models will be launched online, and 50 key enterprises will be connected to verify the results of cost reduction and efficiency improvement;

● The third stage (18~36 months): Comprehensive promotion, 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

● Cooperate with local vocational colleges in Yongkang to offer professional courses such as operations optimization, AI layout, and supply chain AI to cultivate local application-oriented digital talents;

● Cooperate with universities in the Yangtze River Delta to establish the Yongkang Industrial Intelligent Decision Research Institute to attract high-level research talents;

● Launch a dual-track certification training system for “Intelligent Decision Engineer” and “Intelligent Layout Engineer” to cultivate internal optimization algorithm application backbones within the enterprise;

● Establish a digital craftsman evaluation mechanism to encourage front-line employees to participate in the digital transformation of production decisions.

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 Yongkang Municipal Government

1 · Improve the digital economy policy system

● The "Yongkang City Industrial Intelligence Three-Year Action Plan" was released to clarify the goals, paths and assessment mechanisms, and listed "material utilization rate improvement" and "digital transformation rate" as core assessment indicators;

● Establish special funds for industrial AI and intelligent decision-making/layout optimization, provide subsidies or subsidized loans for projects such as layout optimization, production scheduling optimization, and supply chain intelligence, and focus on key industries such as door industry, fitness equipment, and automobile and motorcycle parts;

● Incorporate digital transformation rate and material utilization rate into the performance evaluation index system of towns, streets and parks;

● Establish a chief digital officer (CDO) training program to support 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 to eliminate corporate data sharing concerns;

● Establish a data trusted circulation pilot area to explore elemental transactions and sharing of logistics data and material data in the hardware industry chain;

● Special preferential treatment in housing, taxation, etc. will be provided to the introduction of high-level talents in the fields of intelligent decision-making, operations optimization, and layout algorithms.

3 · Strengthen collaborative innovation among industry, academia, research and application

● Support the establishment of the "Joint Research Institute for Industrial Intelligent Decision-making and Material Layout Optimization" in Yongkang, and introduce the scientific research strength of operations research optimization and graphics algorithms from universities;

● 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.

Conclusion

The digital economy is not a virtual economy, but a new qualitative form of the real economy. Yongkang has the most complete hardware industry ecosystem in China. Behind every door from Yongkang, every piece of fitness equipment, every automobile and motorcycle accessory, from every square centimeter of plate layout to every kilometer of logistics routes, there is room that can be optimized by algorithms.

The joint capabilities of Jiuzhang Intelligence and Lishou Information can turn these "invisible wastes" into "calculated savings" - using real algorithms that have been verified in scenarios such as vehicle companies, electrical appliance manufacturers, and sheet metal processing plants to help Yongkang'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 Yongkang Municipal People's Government and relevant departments to jointly create a new chapter in the transformation of the manufacturing industry through industrial intelligent decision-making and material layout optimization.

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 久章和隶首联合助力推进永康市数字经济高质量发展的建议书 (published 2025-04-21). WeChat original ↗