A data-driven approach for automated multi-site competitive facility location

• Main Authors: TAN, Ming Hui, TAN, Kar Way, LAU, Hoong Chuin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: competitive facility location; retail expansion; Adaptive Large Neighborhood Search; data-driven optimization; community detection; population weighting; mobility data; site selection; ArcGIS benchmarking; urban planning; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9705; https://ink.library.smu.edu.sg/context/sis_research/article/10705/viewcontent/BigD616_A_Data_Driven_Approach_for_Automated_Multi_Site_Competitive_Facility_Location__6pg_Final_Submission_.pdf
• Institution: Singapore Management University

This paper addresses the challenge of optimal retail expansion in competitive urban environments through a novel approach to the Competitive Facility Location (CFL) problem. Traditional methods for solving CFL problems often struggle with large-scale scenarios, relying on manual pre-selection of can...