连续投料产出型生产企业管理信息系统的研究与实现

发布时间：2018-08-19 15:28

【摘要】：连续投料产出型生产企业是严格按照生产工艺进行生产,以贵金属生产为例,贵金属(铂、钯、铑)价值昂贵,生产过程中的一点差错,就会导致较大的损失。所以研究企业生产过程中贵金属的投入产出平衡非常重要。另一方面,如何科学地预测客户的真实需求以及原材料采购价格来设置安全的库存水平,值得研究思考。所以本文重点研究了生产过程投入产出平衡以及在需求不确定、原材料价格波动情况下库存管理问题,并以此为基础设计开发了贵金属生产管理信息系统。平衡查询和库存管理都是该系统的主要模块。贵金属投入产出平衡查询是一个网状结构的搜索过程,本文采用深度优先搜索与广度优先搜索算法来实现投入产出平衡查询,其中深度优先搜索涉及到正向、逆向的查找过程。最后将搜索结果进行比较分析,可判断投入产出过程是否平衡。同时,本文研究了原材料采购价格随机波动、需求不确定情况下库存管理问题,采用伊藤过程来预测原材料价格,二次指数平滑法来预测短期平均需求,建立了库存模型,目标函数是使得采购成本、持有成本以及缺货成本总和最小化,采用gamma分布近似来求得最佳的订货量。最后进行具体求解与分析。本系统是基于Asp.net技术,采用C#语言开发的web应用程序。我们分析了系统需求,然后进行了总体设计,功能设计,相应的数据库设计以及投入产出平衡设计。该系统特点是具有友好的前台界面,操作简单、稳定,易扩展。该信息系统可以稳定地在web服务器上运行,实现贵金属投入产出平衡以及为企业定制生产与采购计划,使得企业的生产流程信息化,数字化,提高工作效率,最终节约企业生产成本。
[Abstract]:Continuous feeding and producing enterprises are strictly in accordance with the production process. Take the precious metal production as an example, precious metals (platinum, palladium, rhodium) are expensive, and a little error in the production process will lead to a large loss. Therefore, it is very important to study the input-output balance of precious metals in the production process of enterprises. On the other hand, how to scientifically predict the real demand of customers and the purchase price of raw materials to set up a safe inventory level is worth studying and thinking. In this paper, the input-output balance of production process and inventory management under uncertain demand and fluctuating price of raw materials are studied. Based on this, a precious metal production management information system is designed and developed. Balanced query and inventory management are the main modules of the system. The input-output balance query of precious metals is a network structure search process. In this paper, depth first search and breadth first search algorithm are used to realize the input-output balance query, in which the depth first search involves the forward and reverse search process. Finally, the search results are compared and analyzed to determine whether the input-output process is balanced. At the same time, this paper studies the inventory management problem under the condition of random fluctuation of raw material purchase price and uncertain demand. Ito process is used to predict the raw material price, the quadratic exponential smoothing method is used to predict the short-term average demand, and the inventory model is established. The objective function is to minimize the sum of purchase cost, holding cost and shortage cost. The gamma distribution approximation is used to obtain the best order quantity. Finally, the concrete solution and analysis are carried out. This system is based on Asp.net technology, using C # language developed web application program. The system requirements are analyzed, and then the overall design, the function design, the corresponding database design and the input-output balance design are carried out. The system is characterized by friendly foreground interface, simple operation, stability, easy to expand. The information system can run stably on the web server, realize the balance of input and output of precious metals, and customize the production and purchase plan for the enterprise, so that the production process of the enterprise can be informationized, digitized, and the work efficiency can be improved. Finally, the cost of production will be saved.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP311.52

【参考文献】