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Intelligent decision-making in progress: Jiuzhang Intelligence’s exploration and practice in the fields of logistics and manufacturing

How to plan a route for 100 vehicles and 500 delivery points so that the total mileage can be minimized while meeting the time window and load restrictions?

How to plan a route for 100 vehicles and 500 delivery points so that the total mileage can be minimized while meeting the time window and load restrictions?

In fact, the number of possible solutions to this classic vehicle routing problem (VRP) far exceeds the number of atoms in the universe. This is the epitome of countless decisions made in the daily operations of many companies——Among the vast possibilities, find the only optimal path.

In the field of logistics and manufacturing, scale expansion and personalized needs have jointly weaved an extremely complex dynamic network. However, traditional management tools often fail to cope with such ultra-multidimensional optimization problems.

We believe that all complex operational problems in the world can be transformed into modelable and computable optimization problems. And the key to unlocking its value isIt's about the algorithm.

Jiuzhang Intelligence is a team that focuses on solving such problems.We are an algorithm company focused on solving enterprise logistics optimization problems. Relying on solid scientific research and engineering capabilities, we are committed to researching and using efficient algorithms to solve logistics and manufacturing industries."Large-scale, multi-factor, multi-constraint, multi-objective, multi-level"Dynamic combination optimization problem, providing customers with cost-effective, highly customized supply chain system solutions, helping customers make better and more agile decisions in strategic layout and daily operations.

In different industries, we use intelligent decision-making to help enterprises increase value. At present, it has cooperated with many companies such as China Southern Airlines, Panasonic, Ernst & Young, Ditong, Lishou, Fanda, Defan, JD.com, Fuller, Yunjiang, Shenyang Automation Institute, Xide, Shanshu, Gudou, Ningbo Renda, etc., and has received good feedback.

This article will systematically show how we use this concept in different business scenariosTake root, blossom and bear fruit.

Total text: 2561 words Estimated reading time: 6-8 minutes

Jiuzhang Intelligence's business covers prototype product development, cutting-edge technology research, SaaS services, competition cooperation and product trial experience. Through algorithm innovation, we help companies improve efficiency throughout the entire chain from production planning to path optimization.

The following is a detailed introduction to each current business field. Each business has our past exclusive push articles. Click on the title to review detailed content and case analysis.

01 · Prototype product series

Prototype products focus on actual industry pain points and provide implementable solutions through algorithm models to help companies optimize resource allocation and decision-making. Our [Prototype Product] series covers the core optimization scenarios of enterprise operations and is mainly divided into four major directions:

Production and operations optimization:

Focus on improving the internal efficiency of factories and workshops, and solve the problem of how to optimally combine equipment, materials and processes.

Supply chain and logistics network optimization:

Solve the "space and path" issues of how goods flow efficiently and how warehousing resources are scientifically arranged.

Resource and market strategy optimization:

Solve the problems of efficient allocation and strategy formulation of special "resources" such as human resources, energy, and agricultural products under complex market rules.

Algorithm research and model verification:

Demonstrate and hone core algorithmic capabilities through classic or cutting-edge theoretical problems.

02 · Cutting-edge technology series

We continue to explore the frontiers of algorithms, integrate AI and operations optimization, share the latest research and application cases in the industry, promote technological progress in the industry, and ensure the leadership of solutions.

Basic algorithm research:

About the core theories and algorithms of path planning and combinatorial optimization.

Industry applications and solutions:

The implementation of algorithms in specific fields such as drones, manufacturing, and industry.

Cutting-edge trends and cross-cutting areas:

Exploring the intersection of optimization technology, AI large models, new paradigms, etc.

03 · SaaS Series

We provide cloud interface services to facilitate enterprises to quickly integrate path planning algorithms and achieve instant optimization.

04 · Competition Series

We continue to hone and verify our technical strength by participating in and hosting international authoritative algorithm competitions. At the same time, more partners are invited to join to promote the innovation and application of optimization algorithms.

05 · Product trial

We believe in "seeing is believing", welcome to experience our core products, free trial accounts are ready to help you get started quickly.

Jiuzhang Intelligence always adheres to the"Serving society with intelligent decision-making"concept, committed to injecting intelligent power into logistics and manufacturing enterprises. If you are interested in the above business,Feel free to leave a message or contact us at any time.

You are also welcome to scan the QR code below and join the "Jiuzhang Intelligent Tribe" on the Nexus supply and demand matching platform to communicate, share, and help each other based on strong trust.

We look forward to working together to make efficient intelligent systems a solid force driving business progress and social good.

For more in-depth cases, technical interpretations and industry thinking, please continue to pay attention to the Jiuzhang Intelligent public account.

Machine-translated from the Chinese original 智能决策进行时:久章智能在物流与制造领域的探索与实践 (published 2025-01-23). WeChat original ↗