Formulation of customers’ shopping path in shelf space planning: A simulation-optimization approach
作者：
Highlights：
• A computer-based expert tool is developed for better decision making of retail managers.
• Customer shopping path is formulated in shelf space planning via a simulation-optimization approach.
• Customers’ movements in the store are introduced into the customers’ demand function.
• Fixed and random utilities for taking the attraction of zones in the store are addressed.
• A hybrid algorithm of two artificial intelligence techniques is developed.
摘要
•A computer-based expert tool is developed for better decision making of retail managers.•Customer shopping path is formulated in shelf space planning via a simulation-optimization approach.•Customers’ movements in the store are introduced into the customers’ demand function.•Fixed and random utilities for taking the attraction of zones in the store are addressed.•A hybrid algorithm of two artificial intelligence techniques is developed.
论文关键词：Shelf space allocation,Artificial intelligence,Simulation-optimization,Shopping path,Imperialist competitive algorithm
论文评审过程：Received 1 March 2015, Revised 22 January 2016, Accepted 23 January 2016, Available online 16 February 2016, Version of Record 4 March 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.043
