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Research on the Optimization of Goods Location Based on Greedy Algorithm

机译:基于贪婪算法的货物优化研究

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摘要

With the rapid development of China's economy, the competition between enterprises is increasing day by day, and it is difficult to form a strong competitive advantage by the advantages of product quality, product type and product cycle. The logistics service for the purpose of cost saving is becoming the world's "Third profit source". In terms of logistics costs, the cost of warehousing and transportation is often the largest. At present, most Chinese enterprises have their own warehouses. Therefore, it is relatively easy to solve the warehouse cost. Reasonable use of the warehouse is also one of the key means to save the cost of inventory. This article mainly aims at the optimization of the item's position, and chooses the sorting method to optimize the goods for the small batch and multi-frequency items, mainly represented by the auto parts. Based on the general principle of cargo location optimization, the optimal solution of the model is obtained by establishing the mathematical model of cargo location optimization, given the constraint condition, comparing the relevant solution method and combining with the actual needs, and choosing the greedy algorithm to solve the problem. The best program, to achieve cost savings, to achieve the purpose of maximizing the interests of enterprises, has a certain practical significance.
机译:随着中国经济的快速发展,企业之间的竞争日益增加,并且难以通过产品质量,产品类型和产品循环的优势来形成强大的竞争优势。物流服务为节省成本的宗旨是成为世界上“第三税收”。在物流成本方面,仓储和运输成本往往是最大的。目前,大多数中国企业都有自己的仓库。因此,解决仓库成本相对容易。合理使用仓库也是节省库存成本的关键手段之一。本文主要旨在优化项目的位置,并选择分拣方法,以优化用于小型批量和多频项的商品,主要由汽车部件表示。基于货物定位优化的一般原则,鉴于约束条件,通过建立货物定位优化的数学模型来获得模型的最佳解决方案,比较相关的解决方案方法,并结合实际需求,选择贪婪算法解决问题。最好的计划,为实现成本节约,实现最大化企业利益的目的,具有一定的实际意义。

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