| 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 |
| DOI：10.19554/j.cnki.1001-3563.2019.05.023 |
| 分类号:F253.4；TU-9 |
| 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） |
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| Inventory Optimization of Engineering Materials under the Perspective of Supply Chain |
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DUAN Wen-feng1, LUO Xiao-long2, CHEN Chang-lu1, LUO Ai-zhong1
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1.School of Civil Engineering, Guizhou University of Engineering Science, Bijie 551700, China;2.Water Authority of Qixingguan, Bijie 551700, China
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| 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. |
| Key words: construction supply chain particle swarm algorithm inventory optimization |
