当前位置:主页 > 管理论文 > 物流管理论文 >

基于JavaEE的仓储物流管理信息系统的设计与实现

发布时间:2018-01-04 22:16

  本文关键词:基于JavaEE的仓储物流管理信息系统的设计与实现 出处:《北方工业大学》2015年硕士论文 论文类型:学位论文


  更多相关文章: 仓储物流 信息管理 JavaEE 数据库


【摘要】:随着信息社会的迅猛发展,仓储管理结合信息化发展成为主流,科学的仓储管理体现在系统的信息化程度上,一方面,信息化为企业优化了管理流程,有极大的经济价值;另一方面,信息化对社会发展有益,具有很大的社会价值。具体主要体现在: (?)由于科学的简化了出入库流程,仓储工作人员的效率得以大幅提高,缩短了货物在仓储中滞留的时间; 》由于减少了人工操作的数量,在出入库管理以及库存盘点管理过程中最大程度的采用了信息化,削减了企业的人员支出,增加了仓储物流企业的收入比重; (?)就企业的管理来说,科学的仓储物流管理信息系统减少了人的思维误差,提高了企业的管理水平,为企业的发展提供了科学的数据依据。 本文利用软件工程的思想,开发了基于JavaEE技术和B/S模式的仓储物流管理信息系统,采用遗传算法处理拣选路径的优化问题,遗传算法具有自组织、自适应和智能性,良好普适性和可规模化,基本思想简单,实现步骤规范,便于工程使用,对于大型的仓储系统的适应性非常强,因此可以满足大型仓储系统的需要。本文对传统的自适应遗传算法做了改进,新算法具有更快的收敛速度和更可靠的稳定性。在算法的运行过程中,适应性高的个体被保留了下来,而适应性低的逐渐消失,从而实现在复杂的问题中寻找到最优的解决方案。 论文首先介绍了本课题的研究背景,国内外研究现状,本课题研究的目的及意义,以及具体的研究内容。在系统分析阶段,通过调查研究真实的仓储物流系统的业务流程,明确了系统的功能需求、性能需求、网络需求,以及业务流程和数据流程,并通过对现行业务流程的优化,得出了系统的业务流程;系统设计阶段主要完成了系统架构设计和数据库的设计,形成了E-R图和具体的数据库表;系统实现阶段完成了代码实现;在系统测试阶段完成系统功能与性能测试并分析测试结果。 本课题的研究成果适用于仓储管理过程中的各项操作,以不同的功能模块,执行仓储物流系统的各项基本业务。用户可以操作相应的模块,来控制仓储物流吸引里的货物流向,盘点库存数量并可以进行相应的修改,整个工作流程清晰流畅,工作量小。
[Abstract]:With the rapid development of the information society, with the development of information technology is becoming the mainstream of warehouse management, warehouse management science is reflected in the degree of information system on the one hand, to optimize the information management process for the enterprise, has great economic value; on the other hand, the information of social development is good, has great social value. Mainly reflect in:
(?) because of the scientific simplification of the flow of warehousing, the efficiency of the warehousing workers has been greatly improved, and the time for the detention of the goods in the storage is shortened.
Due to the reduction of the number of manual operations, informatization was applied to the largest extent in the process of outgoing and warehousing management and inventory management, which reduced personnel expenditures and increased the income share of warehousing and logistics enterprises.
In terms of enterprise management, the scientific warehouse logistics management information system reduces human's thinking errors, improves the management level of enterprises, and provides scientific data basis for the development of enterprises.
In this paper, using the method of software engineering, the development of the logistics management information system based on JavaEE technology and B/S model, the optimization problem of path selection in genetic algorithm, genetic algorithm is self-organizing, adaptive and intelligent, good universality and scale, the idea is simple, the implementation steps of standard, convenient for engineering use for large-scale storage systems, the adaptability is very strong, so it can meet the needs of large-scale storage system. In this paper, an adaptive genetic algorithm to improve the traditional, the new algorithm has faster convergence speed and more reliable stability. In the operation process of algorithm, the high adaptability of the individual is preserved, and low adaptability gradually disappear, so as to achieve to find the optimal solution in a complex problem.
This paper firstly introduces the research background, research status at home and abroad, the purpose and significance of the research, as well as the specific research content. In the stage of system analysis, through the investigation and study of real storage logistics business process, the system functional requirements, performance requirements, network requirements and business processes and data process, and through the optimization of existing business processes, the business process of the system; the system design phase mainly completed the design of system architecture design and database, the formation of E-R diagram and specific database table; the implementation stage complete code; complete the system function and performance test and analysis of test results in the system testing phase.
The research results of this paper apply to the warehouse management process, with different function modules, the basic implementation of warehousing system. Users can operate the corresponding module, to control the flow of goods in the warehouse logistics attract inventory, inventory number and can be amended accordingly, the whole process is clear and smooth. The workload is small.

【学位授予单位】:北方工业大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TP311.52

【参考文献】

相关期刊论文 前10条

1 蔡一博;;国内软件测试现状分析[J];东方企业文化;2010年03期

2 季晨;李栋;;基于遗传模拟退火算法的军用仓库选址研究[J];电脑知识与技术;2010年08期

3 韩明军;;软件性能测试过程[J];信息技术与标准化;2007年11期

4 林松;;基于B/S仓储管理系统的设计与实现[J];福建电脑;2010年02期

5 师凯;蔡延光;邹谷山;王涛;;分段蚁群算法在运输调度问题中的应用[J];广东工业大学学报;2006年01期

6 吴文革;;浅谈国有企业如何做好仓库管理工作[J];经营管理者;2011年14期

7 李衡;;关于仓储物流管理信息系统分析与讨论[J];经营管理者;2012年02期

8 赵鹏;杨剑;周近;;软件测试发展创新问题探究[J];计算机光盘软件与应用;2012年08期

9 罗勇;陈治亚;;基于改进遗传算法的物流配送路径优化[J];系统工程;2012年08期

10 李建义,张红亮;基于B/S方式的企业仓储物流信息系统的实现[J];华北水利水电学院学报;2003年03期



本文编号:1380336

资料下载
论文发表

本文链接:https://www.wllwen.com/guanlilunwen/wuliuguanlilunwen/1380336.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户b09d9***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com