Multi-Period Retail Warehouse Location Optimization Model Considering Sales and Demand

The present study addresses warehouse location selection from among potential sites by considering various factors across multiple time periods. Several factors, including economic aspects, environmental considerations, and levels of sales and demand, are examined separately during different periods. The location selection is conducted within a three-level supply chain structure, comprising warehouses, retailers, and customers, with the distance between these levels being an important factor in decision-making. This research aims to minimize fixed and transportation costs and reduce the number of vehicles serving retailers and warehouses. The problem is formulated as a mathematical programming model. By incorporating specific constraints related to site selection and analyzing data across various time intervals using different methods, the results indicate optimal warehouse locations based on cost-efficiency for customer and retailer deliveries, pollution reduction from transportation vehicles, and minimizing vehicle numbers. These optimizations are analyzed using the Mixed-Integer Linear Programming (MILP) solution method.

کلیدواژه ها:

Warehouse Location Selection ، Supply Chain Optimization ، Mixed-Integer Linear Programming ، Cost and Environmental Efficiency ، Multi-Period Decision Making