Warehouse Vis: A Visual Analytics Approach to Facilitating Warehouse Location Selection for Business Districts

Selecting a proper warehouse location serving to satisfy the demands of the goods from a certain business area is important to a successful retail business. However, the large solution space, uncertain traffic conditions, and varying business preferences impose great challenges on warehouse location...

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Bibliographic Details
Published in:Computer graphics forum Vol. 39; no. 3; pp. 483 - 495
Main Authors: Li, Q., Liu, Q. Q., Tang, C. F., Li, Z. W., Wei, S. C., Peng, X. R., Zheng, M. H., Chen, T. J., Yang, Q.
Format: Journal Article
Language:English
Published: Oxford Blackwell Publishing Ltd 01.06.2020
Subjects:
Analytics
Business districts
CCS Concepts
Driving conditions
Human‐centered computing → Visualization; Visualization design and evaluation methods
Logistics management
Site selection
Solution space
Traffic
Warehouses
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:Selecting a proper warehouse location serving to satisfy the demands of the goods from a certain business area is important to a successful retail business. However, the large solution space, uncertain traffic conditions, and varying business preferences impose great challenges on warehouse location selection. Conventional approaches mainly summarize relevant evaluation criteria and compile them into an analysis report to facilitate rapid data absorption but fail to support a comprehensive and joint decision‐making process in warehouse location selection. In this paper, we propose a visual analytics approach to facilitating warehouse location selection. We first visually centralize relevant information of warehouses and adapts a widely‐used methodology to efficiently rank warehouse candidates. We then design a delivering estimation model based on massive logistics trajectories to resolve the uncertainty issue of traffic conditions of warehouses. Based on these techniques, an interactive framework is proposed to generate and explore the candidate warehouses. We conduct a case study and a within‐subject study with baseline systems to assess the efficacy of our system. Experts ‘feedback also suggests that our approach indeed helps them better tackle the problem of finding an ideal warehouse in the field of retail logistics management.
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.13996