Abstract
This paper looks at ways to solve warehouse location
problems in wood supply chains. We tested four methods: two
direct solvers (CBC and Gurobi) and two mixed methods that
combine genetic algorithms with these solvers. We used test data
of different sizes to see which method works best for both good
answers and fast solving times. Our tests show that the Gurobi
solver works best, with the fastest times and best answers for all
data sizes. However, the mixed method using genetic algorithms
with the CBC solver is a good choice too, especially for complex
problems with many warehouses. This mixed method gives good
results while being free and open-source, making it available to
organizations that can¿t afford expensive software. As problems
get more complex, the difference between Gurobi and the genetic
algorithm with CBC becomes less important.
