In the event that the order exceeds the customer's needs, it will cause more inventory than necessary, causing the cost to sink, and in the event that the order is too low, the customer's demand will spoil the opportunity to sell the product and the opportunity to make a profit. The purpose of this project is to formulate an appropriate replenishment policy to reduce the total cost of the system, consisting of cost, cost of goods, order costs, holding costs, and loss of goods. Monte Carlo Simulation to measure product fulfillment policy efficiency. After developing the Monte Carlo simulation model, By random 100 times, the policy of model development compared to the company's old case study policy decreased by 7,955,412 baht, or 47.71 percent.
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