基于B/S架构和节省里程算法的绿色物流供应链系统

Dan Li
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引用次数: 0

摘要

针对当前物流业的需求和传统物流供应链系统的不足,本研究采用B/S和前端/后端分离模式构建物流供应链系统的整体框架。采用改进的节省里程算法求解路径优化问题。最后,设计了一种基于浏览器和服务器架构的新型绿色物流供应链系统。实验结果表明,基于B/S和节省里程算法的绿色物流供应链系统的管理模块和配送任务模块功能需求达到了预期效果,适应多种浏览器,具有良好的通用性。此外,即使在大量用户同时登录的情况下,本研究提出的系统也保持了良好的稳定性,最大稳定性为93.68%,最小运行时间仅为8 s。与传统的物流供应链系统相比,该系统的稳定性提高了12.16%,运行时间缩短了21 s。综上所述,本研究提出的基于浏览器和服务器架构的绿色物流供应链系统以及节余算法符合21世纪物流供应链管理的发展趋势,极大地促进了物流供应链管理的发展和效率,弥补了管理工作的不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green logistics supply chain system based on B/S architecture and mileage saving algorithm
In response to the current needs of the logistics industry and the shortcomings of traditional logistics supply chain systems, this study adopts the B/S and front end/back end separation mode to construct the overall framework of the logistics supply chain system. The improved mileage saving algorithm is applied to solve the path optimization. Finally, a new type of green logistics supply chain system based on browser and server architecture and mileage saving algorithm is designed. The experimental results showed that the management module and distribution task module functional requirements of the green logistics supply chain system based on B/S and mileage saving algorithm achieved the expected results, which adapted to multiple browsers, with good universality. In addition, even in the case of a large number of users logging in simultaneously, the system proposed in the study maintained good stability, with a maximum stability of 93.68 % and a minimum running time of only 8 s. Compared with traditional logistics supply chain systems, the stability of the proposed system was improved by 12.16 %, and the running time was shortened by 21 s. In summary, the green logistics supply chain system based on browser and server architecture and mileage saving algorithm proposed in the study conforms to the logistics supply chain management in the 21st century, greatly promotes the development and efficiency of logistics supply chain management, and makes up for the shortcomings of management work.
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CiteScore
18.20
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