面向仓储配送的SaaS化智慧决策云服务的分布式架构设计与实现

DISTRIBUTED ARCHITECTURE DESIGN AND IMPLEMENTATION OF SAAS INTELLIGENT DECISION CLOUD SERVICE FOR WAREHOUSING AND DISTRIBUTION

胡笛

11849300

硕士

电子与通信工程领域工程

姚新/杨鹏

2020-05-30

2020-07-20

哈尔滨工业大学

深圳

我国社会物流总费用一直占全国GDP较高，虽然近几年随着物流基础设施的发展，物流成本呈下降趋势，但其GDP占比仍比发达国家高出1.5倍以上。随着人工智能的发展，融合数据分析与决策的智慧物流是物流行业降本增效的重点发展发展方向。然而，就目前而言，如何构建高可用高性能的智慧物流决策系统，仍然是现代物流行业的一个痛点。仓储配送是现代物流关键的一环，也是提升效率和用户体验度最直接的一环。作为物流关键，怎样提升城市物流信息化、智能化，同时去优化仓储、配送环节才可以不断的提升物流配送环节的效率和质量，才能优化资源利用配置。如今我国许多的物流配送企业由于在物流服务方面无法得到有效突破，因此便采取了对业务进行横向扩展的方式，从多方面为客户提供服务。比如说智慧选点、智慧仓储、优化配送等服务。从这些方面着手，解决客户的需求，这也是如今最常见的方式和最正确的方向，也是未来行业发展的必然趋势。只有多样化的发展才能让企业更能得到消费者的认可。其中由于企业需求的服务越来越多，所开发的系统就会越来越复杂，需要增加的服务数量就会越来越多，因此以前传统的系统架构由于在可扩展性上的欠缺就不再适合开发了。对于企业来说最大效率的运用信息化智能化技术才是提升物流信息系统效率最直接的方式。本文利用了当前最流行的分布式架构作为框架，将不同的业务拆分成不同的微服务然后在服务器上进行部署，比如用户信息管理模块、车辆信息模块、物品运输管理模块、物资管理等。用户可以通过针对性的界面对来实现车辆管理、车辆调度、货物出入仓库等安排。针对具有代表性的车辆调度问题，选用了常见的求解方法，构建决策方案的底层分布式决策系统。本项目通过微服务架构对仓储物流操作赋予了信息化和智能化能力，可帮助用户有效提升物流效率、降低物流成本。

In recent years, the total cost of China's social logistics has always accounted for a relatively high national GDP. Although logistics costs have declined with the development of logistics infrastructure in recent years, its GDP still accounts for more than 1.5 times higher than developed countries. With the development of artificial intelligence, smart logistics that integrates data analysis and decision-making is a key development direction for the logistics industry to reduce costs and increase efficiency. However, how to build a high-availability and high-performance intelligent logistics decision-making system is still a main point in modern logistics industry.Warehousing and distribution is a key part of modern logistics, and also the most direct part to improve efficiency. As the main point to logistics, how to improve the informatization and intelligence of logistics, and at the same time to optimize the warehousing and distribution links, can continuously improve the efficiency and quality of the logistics distribution link. Nowadays, many logistics and distribution companies in China cannot effectively break through in terms of logistics services, so they have taken the way of horizontally expanding their business to provide customers with services in many ways. For example, services such as smart site selection, smart warehousing, and optimized distribution. Starting from these aspects to solve customer needs is the most common way and the most correct direction today, and it is also an inevitable trend of future industry development. Only diversified development can make enterprises more recognized by consumers. Among them, as more and more services are required by enterprises, the developed systems will become more and more complex, and the number of services that need to be increased will be more and more. Therefore, the traditional system architecture in the past is not due to the lack of scalability It is suitable for development again. For enterprises, the most efficient use of information-based intelligent technology is the most direct way to improve the efficiency of logistics information systems.This article uses the most popular distributed architecture as a framework to split different businesses into different microservices and then deploy them on the server, such as user information management module, vehicle information module, item transportation management module, and material management. Users can implement vehicle management, vehicle scheduling, and goods in and out of warehouses through targeted interface pairs. Aiming at the representative vehicle scheduling problem, a common solution method is selected to construct the underlying distributed decision-making system of the decision plan. This project has given information and intelligence capabilities to warehousing and logistics operations through a microservice architecture, which can help users effectively improve logistics efficiency and reduce logistics costs.

分布式 仓储配送 车辆调度优化 云服务

distributed systems warehousing and distribution systems vehicle scheduling optimization cloud services

中文

联合培养

南方科技大学

胡笛. 面向仓储配送的SaaS化智慧决策云服务的分布式架构设计与实现[D]. 深圳. 哈尔滨工业大学,2020.