| dc.description.abstract | This thesis presents a comprehensive approach to optimizing the distribution network of
Hoa Sen Group, a leading enterprise in the Vietnamese steel industry. By applying a
simulation-based framework, the study addresses critical challenges in inventory
management, and transportation costs. Utilizing mathematical modeling techniques and the
CPLEX solver, an optimized distribution model was developed to minimize total costs and
improve efficiency. The dynamic simulation model allowed for an in-depth analysis of
demand variability and its impact on the distribution chain, facilitating the formulation of
strategies to mitigate potential disruptions. Key findings include the identification of
optimal inventory levels and the development of strategic recommendations to enhance
distribution efficiency. The study also acknowledges limitations such as reliance on data
from 2022 and the exclusion of competitive and price fluctuation factors, suggesting that
future research could incorporate more recent data and a broader range of variables. In
conclusion, the research demonstrates the efficacy of a simulation-based framework in
optimizing distribution networks and provides a practical roadmap for Hoa Sen Group to
enhance its operational efficiency. The insights and recommendations derived from this
study have the potential to significantly improve the company’s service levels and cost
management. Future research directions include integrating advanced technologies for real time analytics and exploring the environmental and social impacts of optimized distribution
models to ensure sustainable supply chain practices. | en_US |
