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Optimization of Housing Supply Chain Network Structure and Design of Intelligent Management System Driven by Smart Logistics

By: Yinghuan Liu 1, Chungui Zhou 1
1School of Digital Economy and Management, Guangzhou Software University, Guangzhou, Guangdong, 510990, China

Abstract

Vigorously developing the “good house” industry chain and housing supply chain is a necessary way to promote the synergistic development of the industry. Taking intelligent logistics and supply chain management as an entry point, the article constructs an intelligent management system for housing supply chain by combining various information technologies and designs corresponding functional modules to realize the intelligent management of housing supply chain. Then, guided by complex network theory, the basic network of housing supply chain is constructed by combining housing industrialization, and the evolution rules of housing supply chain network are set. The first-order zero model is introduced and improved, and the fast reconnection algorithm is designed to be used in the optimization of the housing supply chain network structure, and its effectiveness is verified through simulation experiments. It is found that the SLFCS of the housing supply chain network structure of the FRM algorithm remains around 20% after the cumulative number of attacks reaches 120. There are large differences in the network structure of housing supply chain in different stages, the network density value in the stabilization stage is about 2.27 times of the network density in the initiation stage, and the transaction termination gate threshold between enterprise nodes will have a large impact on the stability of housing supply chain network. Therefore, relying on intelligent logistics-driven intelligent management system can effectively realize the optimization of housing supply chain network structure and better meet the market housing demand.