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供应链视角下工程材料库存优化研究
引用本文:段文凤,罗晓龙,陈昌禄,罗爱忠. 供应链视角下工程材料库存优化研究[J]. 包装工程, 2019, 40(5): 169-173
作者姓名:段文凤  罗晓龙  陈昌禄  罗爱忠
作者单位:贵州工程应用技术学院 土木建筑工程学院,毕节,551700;毕节市七星关区水务局,毕节,551700
基金项目:贵州省科学技术基金项目(黔科合LH字[2014]7534号);贵州省教育厅青年科技人才成长项目(黔教合KY字[2017]309)
摘    要:目的为了达到节约工程建设行业企业材料管理成本的目的,以常用的2种工程材料钢材和水泥存储于同一仓库且由同一供应商供货的库存管理为研究对象进行研究。方法分析承包商采购材料情形下,供应商和承包商基于合作伙伴关系实现库存信息共享,建立2种材料两级库存联合库存成本优化的数学模型,并通过工程实例,运用粒子群算法求解,验证研究方法的有效性。结果不同的材料订购策略对工程供应链上的材料库存成本影响很大,数学模型可以给出恰当的订购策略,满足系统成本的最低要求,从而节约成本,提升工程供应链的整体竞争力。结论研究成果丰富了工程供应链管理理论、工程材料的库存管理理论,并对工程建设实践中的材料采购有一定的指导意义。

关 键 词:工程供应链  粒子群算法  库存优化
收稿时间:2018-09-27
修稿时间:2019-03-10

Inventory Optimization of Engineering Materials under the Perspective of Supply Chain
DUAN Wen-feng,LUO Xiao-long,CHEN Chang-lu and LUO Ai-zhong. Inventory Optimization of Engineering Materials under the Perspective of Supply Chain[J]. Packaging Engineering, 2019, 40(5): 169-173
Authors:DUAN Wen-feng  LUO Xiao-long  CHEN Chang-lu  LUO Ai-zhong
Affiliation:1.School of Civil Engineering, Guizhou University of Engineering Science, Bijie 551700, China,2.Water Authority of Qixingguan, Bijie 551700, China,1.School of Civil Engineering, Guizhou University of Engineering Science, Bijie 551700, China and 1.School of Civil Engineering, Guizhou University of Engineering Science, Bijie 551700, China
Abstract:The work aims to take the inventory management of two commonly used building steels and cement materials stored in the same warehouse and supplied by the same supplier as the research object to save the management cost of materials in engineering construction industry. By analyzing the situation where the contractor purchased materials, the supplier and the contractor shared information based on cooperation. The optimization model for the combined inventory cost of two materials and two-echelon was established and the optimal solution of the engineering example was obtained by the particle swarm algorithm to verify the effectiveness of the research method. The ordering strategies of different materials had great influence on material inventory cost in construction supply chain. Mathematical model could give appropriate ordering strategies to satisfy the lowest system cost requirement, save costs and improve the overall competitiveness of construction supply chain. The research has enriched the theory of construction supply chain management and inventory management theory of engineering materials and also has guidance significance on material purchasing in the practice of project construction.
Keywords:construction supply chain   particle swarm algorithm   inventory optimization
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