Ethiopia Institute of Technology- Mekelle

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    Optimization of Supply Chain Management on Financial Performance through Simulation Modeling (A Case Study in Moha Soft Drink Industry, Mekelle)
    (Mekelle University, 2025-05-30) Godefa Berhe Weldegebrial
    Nowadays, industries are trying to maintain their competitiveness in the market by optimizations of SCM on the financial performance industry using simulation model tools. One of the simulation model tools that help in visualizing the processes required to create a product and deliver it to the final customer. The research purpose was to optimize Supply Chain Management on the financial performance in the Soft drinks industry, Mekelle. This study used a descriptive analysis; it relied on testing the average of four financial metrics for performance: Return on Asset machine, Return on Investment inventory, Return on Equity capital and gross profit Margin sales and the simulation modeling between them prior running the SCM and its validation optimization. The simulation modeling were made between their ten years average values of the system, and optimizations, hybrid analysis used with a quantitative and qualitative approach method secondary data collection instrument of financial ratio from audited financial statements was used. Simple random sampling existing SCM financial performances have been used to optimize the financial. Ten years data (2014-2024) consist of the existing SCM period. A paired t-test hypothesis test was performed on the calculated means at a 95% confidence interval level with the tool Arena version 14 Simulation to determine whether there was a significant the means of the ten periods for each ratio. Means for each recorded ratio was calculated to obtain the existing and optimizations. The study reveals best fit manufacturing 65.27%, which is 8.27% higher than the starting point of 57% of the existing supply chain management that respective each other the existed and significantly optimization of SCM on financial performance. Therefore, the study concluded that SCM was simulation modeling significant with optimizations on financial performance in the MOHA industry. SCM on Financial indicator replication average 60, half width (corresponding p-value) 1.5,minimum average 60.13%, maximum average 69.14%,minimuim value 0.0013,maxium value added 662.88, resource and queue zero there is no delay, utilization value added (VA)6% chi square p-value 0.05 and ks test 0.15 contributing to enhanced financial performance. Overall financial performance optimization using simulation models based on the findings the study recommended that other manufacturing companies can also initiate to use optimization SCM as a sample study area by taking the success of financial performance optimization in MOHA soft drink industry.