Ralf Elbert

TL;DR: An exploratory case study is used to highlight how order pickers perceive order picking routes, and an agent-based simulation model is developed to quantify the effects of deviations from pre-specified routes.

TL;DR: In this article, the authors present a detailed evaluation of the relative efficiency of order picker routing policies when order pickers deviate from pre-specified routes, and conclude that the optimal routing policy should be the preferred option in most real-world scenarios.

TL;DR: In this article, an agent-based simulation model (ABS) was developed for order picking in a rectangular warehouse, and the simulation model determined shortest mean throughput times when the same routing policy is assigned to all order pickers.

TL;DR: In this paper, the authors define the concept of maverick picking and study its causes, its forms of appearance, and its potential impact on order picking performance in order picking, the process of retrieving items from their storage locations to fulfil customer orders.

TL;DR: In this paper, the authors explored the modal split between road freight transport and combined transport that is enabled by horizontal transshipment technologies, given a dependence on the changing transport mode characteristics that are caused by direct intervention through transport policies as well as by changing environmental factors such as increasing freight volume or diesel prices.