Year: 2025
Type: article
Abstract: Background: Cross-docking optimization plays a crucial role in supply chain management by enhancing efficiency, reducing costs and streamlining operations.However, challenges arise from inaccurate data and a lack of digital tools to support decision making.Objective: The objective of this study was to integrate business intelligence (BI) tools with cross-dock operation data to optimize warehouse layout and improve decision making processes.Methods: A combination of Microsoft Visio and Microsoft Power BI was used to visualize and optimize warehouse layout based on historical cross-dock operation data.The methodology focused on integrating real-time data with spatial layout visualization to minimize total travel distance within the warehouse.Results: The integration of BI tools led to a 10% reduction in total travel distance, enhancing operational efficiency and reducing costs.The study demonstrates that BI-based decision support tools offer significant advantages over traditional optimization methods.However, challenges remain in scalability, real-time adaptability and user adoption.Conclusion: The proposed BI-driven solution improved warehouse layout optimization and facilitated data-driven decision making.Future research should explore the integration of BI with other optimization techniques and investigate its scalability in different warehouse environments.
Source: Acta Informatica Pragensia
DOI: 10.18267/j.aip.259
Authors: Jakub Andar, Jakub Dyntar
Institution: Technical University of Liberec
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4408168599