| dc.description.abstract | Sustainable development has emerged as a critical focus for businesses, particularly in terms of
energy consumption and carbon emissions. This is especially relevant for cold chain logistics,
where the impact of carbon emissions must be thoroughly assessed within operational costs.
This study aims to minimize total costs, including fixed costs, transportation costs, damage
costs, refrigeration costs, carbon emissions costs, and penalty costs within the context of Vehicle
Routing Problems (VRP) with time windows for fresh frozen meat products. The research
involves selecting a specified number of customers within the company's distribution network
and solving the problem using mathematical models such as Mixed Integer Linear
Programming (MILP), complemented by metaheuristic methods like Genetic Algorithms, to
manage larger-scale operations effectively. The results will provide optimized distribution
routes aimed at minimizing operational costs and reducing carbon emissions. This study will
offer valuable insights into low-carbon transformation in the cold logistics industry and
contribute to the broader discourse on sustainable development and environmental protection
in business operations | en_US |
