چکیده مقاله
The expansion of e commerce has necessitated innovative last mile delivery solutions, with Unattended Collection and Delivery Points UCDPs emerging as a practical and cost effective option This paper introduces a comprehensive data driven approach to optimize the strategic placement of UCDPs Our methodology involves a two stage process: 1 analyzing customer behavior using Buy Until You Die BTYD models to forecast purchasing patterns and 2 a mixed integer linear programming MILP model to determine optimal UCDP locations considering variable coverage radius and capacity The integration of customer behavior insights into the facility location problem aims to enhance customer satisfaction and operational efficiency Through numerical experiments on real world data, the study demonstrates the effectiveness of the proposed models in optimizing UCDP placements, achieving significant cost savings, and improving service quality
کلیدواژهها
نویسندگان
Pouya Malakouti
Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
Reza Haddad
Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
Mohsen Varmazyar
Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
شیوه ارجاع
Malakouti, Pouya and Haddad, Reza and Varmazyar, Mohsen,1403,Data-Driven Optimization of Unattended Collection and Delivery Points with a Focus on Customer Behavior Analysis,The 10th International Conference on Industrial and Systems Engineering,Mashhad
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