| dc.description.abstract | The Fast-Moving Consumer Goods (FMCG) sector, especially in the context of a
global company like Nestle Vietnam, faces significant challenges in optimizing supply
chain operations amid fluctuating demands and stringent service requirements. This
study addresses the Joint Replenishment and Inventory Routing Problem (JRIRP)
within Nestle Vietnam's supply chain, focusing on integrating inventory control and
delivery policies to enhance operational efficiency and reduce costs. By employing
metaheuristic algorithms, including the Elk Herd Optimizer (EHO) and a hybrid of the
Cuckoo Algorithm and the Clarke-Wright Savings Algorithm, this research develops
and compares optimization models for managing order consolidation and
transportation planning. The models were validated using real-world data from Nestle
Vietnam, considering multiple scenarios and scales. Results indicate that the EHO
algorithm outperforms the combined Cuckoo-Clarke-Wright algorithm in terms of
minimizing total costs while maintaining operational feasibility. Sensitivity analyses
further highlight the importance of parameter tuning for optimal performance. This
study's findings provide valuable insights for improving supply chain efficiency in
FMCG companies, emphasizing the potential of advanced optimization techniques in
real-world applications. | en_US |
