Dipartimento di Ingegneria informatica, automatica e gestionale

Warehouses are strategic systems for all supply chains since their performances impact operations and efficiency of all direct and indirect stakeholders. Therefore, monitoring warehouses' performances constantly and real-time is getting so important, both to guarantee an effective warehouse management and to detect in advance anomalous and potentially destructive trends. The current literature about warehousing Key Performance Indicators (KPI) appears to lack an extensive collection. Classification logics are often partial or based on specific contexts. At the same time, the amount and typology of data collected on the warehouse often hinder a consistent performance monitoring. This paper aims to fill such gap and guide organizations in identifying the relevant information to gather for warehouse performance monitoring. Firstly, a scoping literature review was conducted to provide an extensive list of warehouse KPIs. Then, the collected results set the groundwork for a dynamic and interactive database called YAWKC. This tool is designed as a knowledge graph allowing for non-linear exploration of data and for continuous enrichment by experts’ contribution, representing the starting point for further knowledge generation in an explorable, dynamic and potentially ever-growing way.