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.
翻译:印度电子商务行业在过去十年中有所发展,预计在未来几年内会增长,现在重点已经转向周转时间,因为出现了许多第三方物流供应商和客户期望值较高。提供商的主要考虑是平衡其总体运营成本,同时满足向其客户承诺的TAT。电子商务提供伙伴通过一个设施网络运作,其战略位置有助于高效运营。在这项工作中,我们确定了全国各中心的地点及其与分销中心的相应绘图。目标是在TAT的遵守下最大限度地降低网络总成本。我们利用遗传阿尔戈里特姆并利用商业限制来减少解决方案搜索空间,从而缩短解决方案的解决时间。结果显示,与目前的情况相比,TAT的合规率提高了9.73%。