Carton Set Optimization in E-commerce Warehouses: A Case Study

IF 11.2 2区管理学 Q1 MANAGEMENT

Journal of Business Logistics Pub Date : 2020-10-07 DOI:10.1111/jbl.12255

Manjeet Singh, Ehsan Ardjmand

引用次数: 6

Abstract

In this study, a three-stage methodology for carton set optimization in e-commerce warehouses is proposed and evaluated on three DHL Supply Chain warehouses. The methodology includes order cubing, carton grouping, and optimal carton set selection. A modified largest area fits first algorithm for order cubing is proposed. For optimal carton set selection, a genetic algorithm with a novel crossover strategy is introduced. The results show that the proposed carton set optimization approach can improve the shipping cost and carton utilization by 7% and 7.8%, and considerably improve the carbon footprint of the operations, even when the number of carton types is not changed.

查看原文本刊更多论文

电子商务仓库纸箱组优化：一个案例研究

在本研究中，提出了一种三阶段的电子商务仓库纸箱集优化方法，并对三个DHL供应链仓库进行了评估。该方法包括订单立方，纸箱分组和最佳纸箱集选择。提出了一种改进的最大面积拟合优先算法。为了优化纸箱集的选择，提出了一种新的交叉策略的遗传算法。结果表明，在不改变纸箱种类数量的情况下，所提出的纸箱组优化方法可使运输成本和纸箱利用率分别提高7%和7.8%，并显著改善操作的碳足迹。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Business Logistics MANAGEMENT-

CiteScore

14.40

自引率

14.60%

发文量

期刊介绍： Supply chain management and logistics processes play a crucial role in the success of businesses, both in terms of operations, strategy, and finances. To gain a deep understanding of these processes, it is essential to explore academic literature such as The Journal of Business Logistics. This journal serves as a scholarly platform for sharing original ideas, research findings, and effective strategies in the field of logistics and supply chain management. By providing innovative insights and research-driven knowledge, it equips organizations with the necessary tools to navigate the ever-changing business environment.