基于商业智能的大宗物料管理系统开发及物料平衡应用研究

Chao Guo, Jingchang Guo, Lu Ji, Mingliang Chen, L. Tian
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引用次数: 2

摘要

在过去的几十年里,商业智能和大数据分析在学术界和商界都变得越来越重要。核电项目涉及的大宗材料种类繁多,数量巨大。但由于散装物料在设计、采购和施工阶段的管理存在一定程度的脱节,经常造成散装物料采购数量不准确、上下游业务进度不匹配、不同业务部门协调不协调等问题。因此,在项目结束时通常会留下大量的散装材料,造成巨大的浪费。因此,我们基于设计院的原始数据开发了散装物料管理系统。根据工程图纸计算材料数量,不仅可以为采购部门提供准确的采购数量供参考,还可以为施工部门提供某些安装区域的材料数量。然后进行物料衡算研究,将现场需求物料和采购后的收货物料加入时间属性,将物料项目与进度、成本等因素联系起来。在此基础上编制需求数量、收货数量和库存数量的物料平衡报表,对采购计划、库存预警等进行商业智能分析,从而更好地进行EPC协调,提高公司的成本效益和利润效率。
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Development of Bulk Material Management System and Research on Material Balance Applications Based on Business Intelligence
Business intelligence and big data analytics have become increasingly important in both academic and business communities over the past decades. Nuclear power projects involve various bulk materials and the quantities are huge. However, bulk material management in design, procurement and construction phases is disjointed to an extent thus often causes inaccurate purchase quantity of bulk materials, mismatching of upstream and downstream business schedules, poor coordination between different business segments and etc. As a result there are usually large quantities of bulk materials left at the end of the project causing huge waste. Therefore, we developed Bulk Material Management System based on the source data of Design Institute. By calculating quantities of materials as per engineering drawings we can not only provide procurement department with accurate purchase quantities for reference, but also provide construction department with amount of materials in certain installation areas. Then we do research on material balance and add time attribute to the demand materials on field and the received materials after purchasing so as to link the material items with the schedule, cost and other factors. On this basis we develop material balance report of demand quantity, received quantity and inventory quantity in order to make business intelligence analysis for procurement planning, inventory warning, etc. and thus lead to a better EPC coordination for cost and profit efficiency of the company.
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