The cost optimization problem bounded with the inventory and replenishment management is a crucial business in a company. A bad management can cause serious repercussions and very high costs. The interest of each company is to minimize the costs tied to the problem of inventory management. Nowadays, there are tools enabling to visualize flows and some methods to understand the replenishment management. However, the decision makers have to find, once the replenishment method chosen, the good values allowing to minimize the global cost. In order to help the decision making process or to find an optimized solution, we have developed a solution based on simulated annealing. With the help of our replenishment management simulator, a number of people has decided on different products. We will compare their decisions to the solution found by our program. To compare, we will use a test bench to measure their robustness. Then we will analyze different best results of our population with the result of our program. We will conclude on the usefulness of our model, how it can be used and what improvements could be done.
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