Joint seminar with the GERAD – Canada Research Chair in Distribution Management – Chair in Logistics and Transportation
TITLE: Optimal Picking Policies for E-Commerce Warehouses
SPEAKER: Maximilian Schiffer, TUM School of Management, Technical University of Munich, Germany
DATE and VENUE: September 10, 2019, 10h30, room 4488, André-Aisenstadt Building, Université de Montréal Campus
ORGANIZER: Gilbert Laporte
ABSTRACT: In e-commerce warehouses, online retailers increase their efficiency by using a mixed-shelves (or scattered storage) concept, where unit loads are purposefully broken down into single items, which are individually stored in multiple locations. Irrespective of the stock keeping units a customer jointly orders, this storage strategy increases the likelihood that somewhere in the warehouse the items of the requested stock keeping units will be in close vicinity, which may significantly reduce an order picker’s unproductive walking time. In this talk, we optimize picker routing through such mixed-shelves warehouses. Specifically, we introduce a generic exact algorithmic framework that covers a multitude of picking policies, independently of the underlying picking zone layout, and is suitable for real-time applications. This framework embeds a bidirectional layered graph algorithm which provides the best known performance for the simple picking problem with a single depot and no further attributes. We compare three different real-world e-commerce warehouse settings that differ slightly in their application of scattered storage and in their picking policies. Based on these, we derive additional layouts and settings that yield further managerial insights. Our results reveal that the right combination of drop-off points, dynamic batching, the utilization of picking carts, and the picking zone layout can greatly improve the picking performance. In particular, some combinations of policies yield efficiency increases of more than 20%.