Jihyeok Ryu , Seonghoon Jang , Byeongjun Park , Chaegyu Lee , Jongpil Jeong
{"title":"Design and deployment of an integrated network architecture leveraging RabbitMQ for optimizing automation systems in smart logistics","authors":"Jihyeok Ryu , Seonghoon Jang , Byeongjun Park , Chaegyu Lee , Jongpil Jeong","doi":"10.1016/j.compeleceng.2025.110721","DOIUrl":null,"url":null,"abstract":"<div><div>Modern smart factories exhibit significant complexity due to the interaction of multiple subsystems and intricate network topologies. Such complexity often results in redundant communication processes between subsystems, which hinders communication efficiency, limits real-time responsiveness, and reduces overall system reliability. This study proposes an integrated network architecture utilizing RabbitMQ to eliminate redundant communication paths, thereby improving transfer speeds, enhancing real-time functionality, and strengthening system dependability. Experimental evaluation demonstrated that, under identical conditions, the RabbitMQ-based direct transmission method reduced average delay by approximately 30.9 % compared to the legacy interface, while the RabbitMQ-based Message Queuing Telemetry Transport (MQTT) method achieved an 81.4 % improvement. The architecture is designed to facilitate streamlined maintenance and to simplify future upgrades and expansions, ensuring adaptability to evolving operational requirements. By implementing this integrated framework, transportation subsystems within smart factories can be tangibly optimized, contributing to higher productivity and operational stability. This paper presents a comprehensive examination of the design principles, implementation procedures, and practical benefits of the proposed architecture, providing insights into its applicability in Industry 4.0 environments.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110721"},"PeriodicalIF":4.9000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625006640","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
Modern smart factories exhibit significant complexity due to the interaction of multiple subsystems and intricate network topologies. Such complexity often results in redundant communication processes between subsystems, which hinders communication efficiency, limits real-time responsiveness, and reduces overall system reliability. This study proposes an integrated network architecture utilizing RabbitMQ to eliminate redundant communication paths, thereby improving transfer speeds, enhancing real-time functionality, and strengthening system dependability. Experimental evaluation demonstrated that, under identical conditions, the RabbitMQ-based direct transmission method reduced average delay by approximately 30.9 % compared to the legacy interface, while the RabbitMQ-based Message Queuing Telemetry Transport (MQTT) method achieved an 81.4 % improvement. The architecture is designed to facilitate streamlined maintenance and to simplify future upgrades and expansions, ensuring adaptability to evolving operational requirements. By implementing this integrated framework, transportation subsystems within smart factories can be tangibly optimized, contributing to higher productivity and operational stability. This paper presents a comprehensive examination of the design principles, implementation procedures, and practical benefits of the proposed architecture, providing insights into its applicability in Industry 4.0 environments.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.