【作者】 谢俊；

【导师】 李建军；

【作者基本信息】 华中科技大学 ， 材料加工工程， 2006， 硕士

【摘要】 模具企业是一典型的面向订单的单件多品种生产型企业,由于订单的随机性和生产过程的不稳定性,使得模具企业管理人员无法及时准确了解模具车间的生产状况,生产过程难以得到有效的控制,从而经常造成交货延期和质量无法保证等一系列管理问题。要提升模具企业的管理水平,实现信息化管理是企业的必然选择。而模具车间加工信息的采集与分析是实现信息化管理关键的一环。本文通过对典型模具企业的深入调研,系统分析了模具车间生产信息流以及相关的影响因子,并针对模具特有的生产管理和成本统计核算方式,结合MES的车间控制思想和管理会计的成本统计思想,对模具企业信息流的流程进行了优化。在此基础上,采用UML方法对模具企业生产信息的采集与分析功能进行需求建模,根据生产过程中信息流动特点,构建了系统的数据库结构。然后结合整个eMan模具信息化系统的要求,研究了基于条码的加工信息采集,基于web的动态报表生成等关键技术,提出了基于条码的生产过程监控流程,基于web的可配置化统计报表解决方案以及模具企业的生产数据统计分析的算法及实现。以上述研究成果为基础,在J2EE平台上采用MVC构架,开发了面向模具企业生产过程管理的现场监控、异常预警和统计报表分析系统,作为整个模具企业信息化eMan系统的子模块,已在相关模具企业成功实施和应用,取得了良好的效果。更多还原

【Abstract】 Die and mold industry is a typical order-oriented industry with single-batch but multi-variety products. As customers’orders are unpredictable and manufacturing process is not stable, it’s very difficult for managers to track the daily performance of the whole enterprises timely and exactly, therefore the production process is often out of control, and the delivery date and quality can not be guaranteed. In order to improve the management of production process, it is necessary for enterprises to adopt information technology to manage, in which the collection/analysis of production information is a key point.After surveying the characteristic of some typical die and mold companies, the whole production information flow of die and mold workshops and its influential factors are analyzed in the thesis, and then it is optimized according to the principles of modern production management, workshop control of MES and cost statistic of Manage Accountant. Based on this, the functional requirements of information collection and analysis for die and mold workshops are modeled with the UML method. Furthermore, the database structure is determined to manage the production data according to the characteristics of data flow. After that, the key technologies, such as bar-code-based collecting of production information,web-based creating of dynamic report form are investigated and the arithmetic and solution.Based on the above research, a real-time monitoring module with alert and statistics functions for die and mold industry is developed by using MVC architecture and J2EE. It is integrated with eMan, a die and mold enterprise’s information system, and has been applied successfully in some companies.更多还原