Supply Chain Management (SCM) has attracted a substantial amount of attention from academics as well as engineers working in industry. The intricacy of current supply chain models is frequently beyond the capabilities of traditional analytical approaches, which is why simulation is such an important tool. Among the several design and evolutionary approaches to Supply Chain Management (SCM), inventory simulation is the most successful and widely used one. This study suggests the use of computer simulation and linear regression analysis in the process of modeling and assessing the effectiveness of supply chain operations, as well as analyzing the risks associated with making decisions in the face of uncertainty. This study indicates that a computer-based inventory simulation can support achieving the supply chain objectives for the beverage industry by evaluating service level performance, which in this case reached 83.02%. The projection of sales losses is derived from a linear regression analysis that meets all necessary statistical assumptions. Simulation applications are feasible alternatives to analytical approaches for displaying the fundamental behavior of systems at a much lower costs and significantly assist in improving the performance of the supply chain.