基于Java的物流仓储管理系统的构建
摘要
随着电子商务技术和网络技术的快速发展,现代物流技术也在不断进步。物流技术是指与物流要素活动有关的所有专业技术的总称,包括各种操作方法、管理技能等,如流通加工技术、物品包装技术、物品标识技术、物品实时跟踪技术,物流存储技术等;物流技术还包括物流规划、物流评价、物流设计、物流策略等;当计算机网络技术的应用普及后,物流技术中综合了许多现代技术如GIS(地理信息系统)、GPS(全球卫星定位)、EDI(电子数据交换)、BAR CODE(条码)等。物流业在采用某些现代信息技术方面的成功经验和规范集成,为电子商务的推广普及铺平了道路。例如世界零售业巨头美国沃尔玛早已采用GPS进行物流跟踪和监控来保证商品及时、可靠、安全的到达各个销售地点。
因此基于以上的考虑在开发物流仓储管理系统中采用目前比较流行并且技术已经十分成熟的java三层构架技术来实现仓储管理对商品库存信息、供应商信息、商品信息、商品入库信息、商品出库信息的便捷管理,而数据库则采用SQL2000不但可是对系统数据更高效的管理而且便于系统的移植和跨平台操作,实现了仓储管理的数字化、信息化,减少了人力,节省了财力,提高了企业运作的效率对有效控制商品库存量提供了必要的信息情报为企业节省了不必要的浪费。因此网络物流系统---仓储管理实现了对商品基本信息、供应商信息、出库单信息、商品分类信息、仓储管理信息和入库单信息的查询、录入、修改等基本操作。但还有待于进一步发掘深层次的用户需求进行二次开发完善其功能性,使该系统在操作方面更方便、操作界面更加友好。
With the rapid development of e-commerce and network technology, modern logistics technology has been steadily progressing. Logistics technology is related to the activities of all elements of professional technology , including various methods of operation, management skills, such as distribution processing technology, packaging technology, materials marking technology, goods real-time tracking technology, logistics storage technology; Logistics technology also include logistics planning, logistics evaluation, logistics design and logistics strategies; when the application of computer network technology becomes widespread, logistics technology Integrated many modern technologies such as GIS (geographic information system), GPS (global positioning satellite), EDI ( electronic data interchange), BAR CODE (bar code) and so on. The logistics industry in the using of certain modern information technology and the successful experience of normative integration, paved the way for promotion of universal access to e-commerce. For example, the world retail giant Wal-Mart, already use GPS for logistics tracking and monitoring to ensure the goods timely, reliable and secure arrival of all sales.
Therefore, the development of logistics warehouse management system, based on the above considerations ,used current popular technology that has been matured in the java layer structure to achieve storage management for goods inventory information, supplier information, product information, product storage information, goods out information and the convenience of management, the database is used not only database of SQl server 2000 on the system but more efficient management and easy system migration and cross-platform operation, to achieve numbers of storage management and information technology, reduce manpower, save the financial, efficiently improve the enterprise operations for the effective control of commodity inventories and provide the necessary information and intelligence for the enterprises to save the unnecessary waste. Therefore, the implementations of the network storage management logistics system includes basic information on products, supplier information and warehouse of information, goods classified information, information storage management and storage of information in a single basic query, input, modify operation. But it remained to explore deathly development of the secondary user, to need improve its functionality, so it can become more convenient interface more friendlily in operational aspects of the system.
因此基于以上的考虑在开发物流仓储管理系统中采用目前比较流行并且技术已经十分成熟的java三层构架技术来实现仓储管理对商品库存信息、供应商信息、商品信息、商品入库信息、商品出库信息的便捷管理,而数据库则采用SQL2000不但可是对系统数据更高效的管理而且便于系统的移植和跨平台操作,实现了仓储管理的数字化、信息化,减少了人力,节省了财力,提高了企业运作的效率对有效控制商品库存量提供了必要的信息情报为企业节省了不必要的浪费。因此网络物流系统---仓储管理实现了对商品基本信息、供应商信息、出库单信息、商品分类信息、仓储管理信息和入库单信息的查询、录入、修改等基本操作。但还有待于进一步发掘深层次的用户需求进行二次开发完善其功能性,使该系统在操作方面更方便、操作界面更加友好。
With the rapid development of e-commerce and network technology, modern logistics technology has been steadily progressing. Logistics technology is related to the activities of all elements of professional technology , including various methods of operation, management skills, such as distribution processing technology, packaging technology, materials marking technology, goods real-time tracking technology, logistics storage technology; Logistics technology also include logistics planning, logistics evaluation, logistics design and logistics strategies; when the application of computer network technology becomes widespread, logistics technology Integrated many modern technologies such as GIS (geographic information system), GPS (global positioning satellite), EDI ( electronic data interchange), BAR CODE (bar code) and so on. The logistics industry in the using of certain modern information technology and the successful experience of normative integration, paved the way for promotion of universal access to e-commerce. For example, the world retail giant Wal-Mart, already use GPS for logistics tracking and monitoring to ensure the goods timely, reliable and secure arrival of all sales.
Therefore, the development of logistics warehouse management system, based on the above considerations ,used current popular technology that has been matured in the java layer structure to achieve storage management for goods inventory information, supplier information, product information, product storage information, goods out information and the convenience of management, the database is used not only database of SQl server 2000 on the system but more efficient management and easy system migration and cross-platform operation, to achieve numbers of storage management and information technology, reduce manpower, save the financial, efficiently improve the enterprise operations for the effective control of commodity inventories and provide the necessary information and intelligence for the enterprises to save the unnecessary waste. Therefore, the implementations of the network storage management logistics system includes basic information on products, supplier information and warehouse of information, goods classified information, information storage management and storage of information in a single basic query, input, modify operation. But it remained to explore deathly development of the secondary user, to need improve its functionality, so it can become more convenient interface more friendlily in operational aspects of the system.
引文
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[35]余文宇.大型水轮发电机组状态监测与智能故障诊断系统研究[D]:[硕士论文].长沙,中南大学,2007
[36]冯海隆.基于GPRS和C/S+B/S的挖掘机远程监控及故障诊断系统那个的初步研究[D]:[硕士论文].杭州,浙江大学,2006
[37]胡劲松,张江基于现代信息化物流的我国传统物流企业资源整合研究[D]:[博士论文].哈尔滨,哈尔滨工程大学,2006
[38]许智宏.财务资产集成办公平台的开发与研究[D]:[博士论文].南京,南京航空航天大学,2002
[39] Aminian M,Aminian F.Neural—network based analog—circuit fault diagnosis usingwavelet transform as preprocessor[J].IEEE Transactions on Circuits and Systems fl:Analog and Digital Signal Processing,2000,47(2) :
[40] K.Mohammadi,A.R.Mohseni Monfared and A.Molaei Nejad. Fault Diagnosis of Analog Circuits with Tolerances By Using RBF and BP Neural Networks. Proceeding of the IEEE,2002:317-321
[41] T.H.Hou,L.Lin.Using Neural Networks for the Automatic Monitoring and Recognitionof signals in manufacturing processes.Design and implementation of intelligent manufacturing systems from Expert Systems,Neural Networks,to Fuzzy logic,1995
[42] I-Shou Liu,His-Hsing Lo,Chih-Tao Chien,etal.Enhancing photoluminescence quenching and photoelectric properties of CdSe quantum dots with hole accepting ligands[J].Journal of Materials Chemistry, 2008,18:675-682
[43] Limanond, S. Si, J. 1998. Neural-network-based control design: an LMI approach. IEEE Trans. on Neural Networks, 9 (6):142-1429.Lin, C.M. Hsu, C.F. 2005. Recurrent-neural-network-based adaptive-back stepping control for induction servo motors. IEEE Trans. on Ind. Electr. 52(6):1677-16
[44] Taodyks M, Gilbert C. Neural network and perceptual learning [J]. Nature, 2004, 431: 775-781.
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[2]彭一明.挑战JSP&ServletWeb2.0应用开发[M].北京:机械工业出版社,2008.6
[3]张丽伟等.现代仓储物流管理信息系统分析[J].上海交通大学2003(43)4:201~203
[4]田健等.基于B/S模式物流仓储管理系统开发[J].长安大学2008(37)4:31~42
[5]高隽.邮政物流仓储管理信息系统设计与实现[M].机械工业出版社,2007.2
[6]罗玉玲等.J2EE应用开发详解[M].北京:科学出版社,2005
[7]王磊.现代物流企业中SCM与CRM的整合研究[J].山东:山东省农业管理干部学院学报,2008(23)3:168~170
[8] LEGER R P, GARLAND W J, POEHLMAN W F S. Fault Detection and Diagnosis Using Statistical Control Charts and Artificial Neural Networks [J]. Artificial Intelligence in Engineering, 1998, 12(1):35-47.
[9] GOMM J B, WEERASINGHE M, WILLIAMS D. Diagnosis of Process Faults with Neural Networks and Principal Component Analysis[J]. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2000,214(2):131-143.
[10] SIMANI S, FANTUZZI C. Fault Diagnosis in Power Plant Using Neural Networks [J]. Information Sciences, 2000, 127(3):125-136.
[11] WEERASINGHE M, GOMM J B, WILLIAMS D. Neural Networks for Fault Diagnosis of a Nuclear Fuel Processing Plant at Different Operating Points-Steady State Analysis [J]. Control Engineering Practice, 1998, 6(2):281-289
[12] Arun T.Vemuri . A methodology for fault diagnosis in robotic systems using neural networks [ J ]. Robotica , 2004,22: 419– 4381
[13]刘甫迎,谢春,徐虹. Java程序设计实用教程[M].北京:机械工业出版社,2008.2
[14]刘万军,郑少京. Java 6程序设计[M].北京:中国青年出版社,2007.2
[15]孙晓波.我国第三方物流企业建立战略联盟相关问题研究[M].北京:中国青年出版社,2007.7
[16]袁鹏飞. SQL Server 2000数据库从零开始[M].北京:人民邮电出版社,2007.3
[17]孙伟琴. Tomcat与Java Web开发技术详解[M].北京:电子工业出版社,2000.3
[18]梁建全,周力.精通轻量级Java EE框架整合方案[M].北京人民邮电出版社,2001.2
[19]张莉.SQL Server数据库原理及应用[M].北京:北京航空航天大学出版社,2008.1
[20]胡小锋,赵辉编著.Visual c++/MATLAB图像处理与识别实用案例精选[M].北京:人民邮电出版社.2004
[21]赵为.北方国际物流有限公司危险品仓储管理研究[D]:[博士论文].合肥:合肥工业大学,2003
[22]肖来元.基于浏览器与服务器的医院信息系统研究与开发[D]:[硕士论文].西安:西安建筑大学,2006
[23]孟志勇.基于Java的远程监测与故障诊断系统的研究[D]:[硕士论文].青岛:山东科技大学,2005
[24]马一鸣.基于条码和无线局域网技术的物流仓储管理系统研究[J].沈阳工程学院学报(自然科学版),2008(10)301-305
[25]姚泽.水电机组状态检修数据库管理系统设计与实现[J].上海电力,2008(4):365-370
[26]张伟.基于工作流的网络办公系统研究[J].吉林大学学报,2008(3):9-13
[27]胡慧.吉林大学远程教育教学管理系统二次开发[D]:[硕士论文].吉林:吉林大学,2007
[28]张海良.光伏电站远程监控系统的设计和研究[D]:[硕士论文].秦皇岛,燕山大学,2006
[29]邓桂英.网络订餐系统的设计与实现[D]:[硕士论文].杭州,浙江大学,2006
[30]阳建坤.基于Internet的远程智能故障诊断系统[D]:[硕士论文].长沙,中南大学,2004
[31]任康.基于神经网络的电器故障诊断研究[D]:[硕士论文].成都,西华大学,2006
[32]朱文艺.基于网络的数控设备故障智能诊断系统[D]:[硕士论文].武汉,华中科技大学,2005
[33]胡湘.基于WEB的重庆市陆上货运交易信息系统应用研究与实现[D]:[硕士论文].南京,南京理工大学,2002
[34]陈伟森.基于条码和无线局域网技术的物流仓储管理系统研究[D]:[博士论文].合肥,合肥工业大学,2005
[35]余文宇.大型水轮发电机组状态监测与智能故障诊断系统研究[D]:[硕士论文].长沙,中南大学,2007
[36]冯海隆.基于GPRS和C/S+B/S的挖掘机远程监控及故障诊断系统那个的初步研究[D]:[硕士论文].杭州,浙江大学,2006
[37]胡劲松,张江基于现代信息化物流的我国传统物流企业资源整合研究[D]:[博士论文].哈尔滨,哈尔滨工程大学,2006
[38]许智宏.财务资产集成办公平台的开发与研究[D]:[博士论文].南京,南京航空航天大学,2002
[39] Aminian M,Aminian F.Neural—network based analog—circuit fault diagnosis usingwavelet transform as preprocessor[J].IEEE Transactions on Circuits and Systems fl:Analog and Digital Signal Processing,2000,47(2) :
[40] K.Mohammadi,A.R.Mohseni Monfared and A.Molaei Nejad. Fault Diagnosis of Analog Circuits with Tolerances By Using RBF and BP Neural Networks. Proceeding of the IEEE,2002:317-321
[41] T.H.Hou,L.Lin.Using Neural Networks for the Automatic Monitoring and Recognitionof signals in manufacturing processes.Design and implementation of intelligent manufacturing systems from Expert Systems,Neural Networks,to Fuzzy logic,1995
[42] I-Shou Liu,His-Hsing Lo,Chih-Tao Chien,etal.Enhancing photoluminescence quenching and photoelectric properties of CdSe quantum dots with hole accepting ligands[J].Journal of Materials Chemistry, 2008,18:675-682
[43] Limanond, S. Si, J. 1998. Neural-network-based control design: an LMI approach. IEEE Trans. on Neural Networks, 9 (6):142-1429.Lin, C.M. Hsu, C.F. 2005. Recurrent-neural-network-based adaptive-back stepping control for induction servo motors. IEEE Trans. on Ind. Electr. 52(6):1677-16
[44] Taodyks M, Gilbert C. Neural network and perceptual learning [J]. Nature, 2004, 431: 775-781.
[45] Gardne rMW, DorlingS R. Artificial neural networks (the multiplayer perceptron)—a review of applications in the atmospheric sciences [J]. Atmos Environ, 1998, 32 (14 /15): 2627 - 2636.
[46] T.H.Hou,L.Lin. Using Neural Networks for the Automatic Monitoring and Recognition of signals in manufacturing processes. Design and implementation of intelligent manufacturing systems from Expert Systems,Neural Networks, to Fuzzy logic,1995.
[47] Reinhold Plosch,Rainer Weinreich,An Agent-Based Environment for Remote Diagnosis,Supervision and Control,software engineering group,department of business informatics,Johannes Kepler University,Austria
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