时间：2021年10月13日（星期三）10:00-11:00

地点：经管大楼A楼 四楼第二会议室报告厅

主题：Managing an e-commerce warehouse while dealing with uncertainty（在处理不确定性的同时管理电子商务仓库）

主讲人：Jelmer Pier van der Gaast （复旦大学英国beat365官方网站入口）

简介：Jelmer Pier van der Gaast 博士毕业于荷兰鹿特丹伊拉斯姆斯大学（AMBA,EQUIS和AACSB），主要研究方向为仓库优化、城市物流、排队论、随机过程等。研究成果主要在发表在Operations Research, Transportation Science和Queueing Systems等期刊上。

摘要：In order to stay competitive in a dynamic business environment full of uncertainties, e-commerce warehouse operations nowadays need lower delivery costs, shorter customer response times, and higher customer service. Thus, a better understanding of the impact of uncertainties that occur in warehouse processes can contribute to the success of any supply chain. Order picking, the process of retrieving customer orders from their storage locations, is the most critical operation in a warehouse. One of the most popular conveyor-based picker-to-parts order picking methods used in practice is zone picking. In this talk we model the various elements of the system including conveyor merges as a network of queues with multiple order classes, with capacity constraints on subnetworks, and with the dynamic block-and-recirculate protocol. The resulting models are most suitable to support rapid and optimal design of complex zone picking systems.  As such, they provide a valuable tool for determining the number and length of zones, input and output buffer capacities, and storage allocation of products to zones, in order to meet prespecified performance targets.

为了在充满不确定性的动态商业环境中保持竞争力，当今的电子商务仓库运营需要更低的交付成本、更短的客户响应时间和更高的客户服务水平。因此，更好地理解仓库流程中发生的不确定性的影响有助于供应链的成功管理。订单拣选是从客户的存储位置检索客户订单的过程，是仓库中最关键的操作。在实践中使用得最广泛基于输送带零件拣选的订单拣选的方法之一是分区拣选。在本报告中，我们利用具有多种订单类别的、具有容量限制的排队子网络，以及动态块和再循环协议的排队网络模型对系统中的各元素、包括传送带合并进行建模。所得到的模型最适合于支持复杂区域分拣系统的快速优化设计。因此，为满足预先指定的性能目标，该模型为确定区域的数量和长度、输入和输出缓冲容量以及产品到区域的存储分配提供了一个有价值的工具。