轴辐式设施选址问题的元启发式算法：在印度电子商业产业中的应用
Metaheuristic for Hub-Spoke Facility Location Problem: Application to Indian E-commerce Industry
摘要：
印度电子商业行业在过去十年中不断发展，预计未来几年将继续增长。由于许多第三方物流供应商的出现和更高的客户期望，焦点现已转移到周转时间（TAT）上。交付供应商的主要考虑因素是平衡其整体运营成本，同时满足向客户承诺的TAT。电子商业交付合作伙伴通过一个设施网络进行运营，这些设施的战略位置有助于有效地运行运营。在这项工作中，我们确定了全国各地的枢纽的位置，以及它们与配送中心的对应映射。我们的目标是最大限度地减少总网络成本与TAT坚持。我们使用遗传算法和利用业务约束，以减少解决方案的搜索空间，从而解决时间。结果表明，与当前情况相比，TAT依从性提高了9.73%。
英文摘要：
Indian e-commerce industry has evolved over the last decade and is expected to grow over the next few years. The focus has now shifted to turnaround time (TAT) due to the emergence of many third-party logistics providers and higher customer expectations. The key consideration for delivery providers is to balance their overall operating costs while meeting the promised TAT to their customers. E-commerce delivery partners operate through a network of facilities whose strategic locations help to run the operations efficiently. In this work, we identify the locations of hubs throughout the country and their corresponding mapping with the distribution centers. The objective is to minimize the total network costs with TAT adherence. We use Genetic Algorithm and leverage business constraints to reduce the solution search space and hence the solution time. The results indicate an improvement of 9.73% in TAT compliance compared with the current scenario.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
