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Integration of order picking and vehicle routing in a B2C e-commerce context

机译:B2C电子商务背景下的订单采摘和车辆路线的整合

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摘要

E-commerce sales are increasing every year and customers who buy goods on the Internet have high service level expectations. In order to meet these expectations, a company's logistics operations need to be performed carefully. Optimizing only internal warehouse processes will often lead to suboptimal solutions. The interrelationship between the order picking process and the delivery process should not be ignored. Therefore, in this study, an order picking problem and a vehicle routing problem with time windows and release dates are solved simultaneously using a single optimization framework. To the best of our knowledge, it is the first time that an order picking problem and a vehicle routing problem are integrated. A mixed integer linear programming formulation for this integrated order picking-vehicle routing problem (OP-VRP) is provided. The integrated OP-VRP is solved for small instances and the results are compared to these of an uncoordinated approach. Computational experiments show that integration can lead to cost savings of 14% on average. Furthermore, higher service levels can be offered by allowing customers to request their orders later and still get delivered within the same time windows.
机译:电子商务销售每年都在增加,在互联网上购买商品的客户具有高的服务水平预期。为了满足这些期望,需要仔细执行公司的物流业务。仅优化内部仓库流程通常会导致次优解决方案。不应忽视订单拣选过程与交付过程之间的相互关系。因此,在本研究中,使用单个优化框架同时解决了一个订单拣选问题和时间窗口和发布日期的车辆路由问题。据我们所知,这是第一次集成了订单挑选​​问题和车辆路由问题。提供了用于该集成订单采摘车辆路由问题(OP-VRP)的混合整数线性编程配方。集成的OP-VRP为小型情况解决,结果与这些不协调的方法进行了比较。计算实验表明,整合可以平均导致成本节省14%。此外,可以通过允许客户在稍后请求其订单并在同一时间窗口内递送来提供更高的服务水平。

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