摘要
进入21世纪以来，随着科学技术的进步和生产力的发展，顾客消费水平不断提高，企业之间的竞争日益激烈，加上政治、经济、社会环境的巨大变化，使得整个市场的不确定性大大增强。企业的生产成本增加，效率低下，导致竞争力下降。降低原料供应成本以提高生产率成为流程企业增强竞争力的重要方法之一。本论文通过研究供应链管理的思想和智能优化算法，设计一种流程企业原料供应优化管理系统。
论文依据具有连续生产过程的流程企业原料供应的特点，在保证企业正常生产、使原料成本最小的情况下，设计了一个原料供应优化管理系统。该系统包括原料采购决策、原料库存优化决策和原料量价预警3个功能子系统及计算机网络和数据库2个支持子系统，并给出了该系统的体系结构及各个子系统的功能。
在对智能优化技术支持子系统的分析中，论文介绍了原料采购决策、原料库存优化决策和原料量价预警这三个优化决策模型的构建，并结合智能优化算法设计了优化决策模型在软件系统中的实现方法。以原料库存优化决策为重点，详细叙述了库存优化模型的建立，以及采用遗传算法在系统中实现优化问题求解的过程。
论文研究了原料供应优化管理系统软件运行平台、开发工具以及数据库的选择，采用B／S与C／S混合模式构建基于外网和内网的系统模型。这样既方便了内网进行优化决策的数据处理，又方便了外网对内网信息的查询。此外，本文还对数据库的创建、SQL语句实现动态建表、ADO存取效率的提高、数据库的安全也分别做了分析与研究。
论文最后以图例的方式展示了所开发的原料供应优化管理系统，总结了本研究工作取得的成果，对下一步的研究工作作出了展望并提出了建议。
With the progress of Science & Technology and the development of productivity in the 2000 's, the requirement of consumers has improved, the competition among companies has become intensive, in adding change of environment of politic, economic and society, the uncertainty of whole marketing has become harder then before. The influence to the enterprise is high cost and low efficiency, it makes the competitiveness of enterprise weak. In order to increase the efficiency of productivity, reducing the cost of raw material supply is an important method to strengthen the competitiviness of continuous plant. This paper designs an optimal management system of raw material supply for continuous plant by reseaching the SCM idea and intelligent optimal algorithms.
According to the characteristic of raw material supply of continuous plant, which has continuous processing, this paper designs an optimal management system of raw material to assure the right production and to aim at minimum raw material cost of enterprise. In the system,there are 3 functional sub systems which including purchase optimization store optimization and quality-price early warning, 2 support sub systems involving computer network and database. The structure and function of all sub systems is also given in this paper.
In the process of analyzing functional sub systems which adopt the intelligent optimal technology, this paper introduces the models of purchase strategy, store strategy and quality-price early warning of raw material supply and designs methods to realize the models in the software system by integrating intelligent optimal algorithm. Focusing on the store optimal strategy of raw material supply, the paper depicts the model's creating and the process of the optimal values's finding which solved by genetic algorithm detailedly.
This paper analyzes the choice of software's running platform, development tools and database of raw material supply optimal management system. B/S mode and C/S mode are integrated into the system in order to realize the fuctions:dealing with the data of optimal strategy in the intranet and enquiring information from the internet. In addition, the paper also talks something about the creating of database,
ABSTRACT
creating dynamic table by SQL statements, improving the ADO ability of processing data and the security strategy of database.
At last, this paper shows us the whole optimal management system of raw material supply for continuous plant by cutline, draws a conclusion about fruit of the reseach work and gives some suggestions on the next step.
引文
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