Warehouse Data NL & BE 2017/2012

Dataset containing warehouse performance characteristics from 2017 and 2012 for 131 warehouses from the Netherlands and Belgium.This dataset was compiled in 2017 by Christian Kaps with the support of René de Koster from Erasmus University Rotterdam as well as the warehouse associations evofendex and TLN in an effort to gather real-life data for a research project on automation’s effect on warehouse efficiency. The core variables per warehouse are 4 input measures (Floor space, SKUs, FTEs and Automation Level) and 4 output measures (Order Lines, Error Free %, Special Services and Flexibility). Each respondent was asked to provide data for the current operations (2017) and, based on records or recollection, data for 2012. In addition to these data, a few variables on value-chain position, ownership structure and industry were also collected per warehouse.Through asking 1,827 warehouses managers in the Netherlands and Belgium to fill out an online survey (Warehouse_Data_NL_BE_2017_Questionnaire.pdf contains the printed version of the survey), 214 submissions were obtained of which 131 were complete and use-able (7.2%). These 131 respondents constitute this dataset.Refer to "ReadMe" file for more information.

本数据集收录了2017年及2012年荷兰与比利时131个仓库的性能特征，由Christian Kaps于2017年编制，该项目得到了鹿特丹伊拉斯姆斯大学René de Koster教授的支持，以及仓库协会evofendex和TLN的协助，旨在为研究自动化对仓库效率影响的项目收集实际数据。每个仓库的核心变量包括4个输入指标（地面面积、SKU、全职员工数及自动化水平）和4个输出指标（订单行、无差错百分比、特殊服务和灵活性）。每位受访者均被要求提供当前运营数据（2017年）以及根据记录或回忆的2012年数据。此外，针对每个仓库还收集了价值链位置、所有权结构和行业等相关变量。通过向荷兰和比利时的1,827位仓库经理发放在线调查问卷（Warehouse_Data_NL_BE_2017_Questionnaire.pdf包含调查问卷的打印版），共获得214份提交，其中完整且可用的数据为131份（7.2%）。这131位受访者构成了本数据集。更多详细信息请参阅“ReadMe”文件。