| dc.description.abstract | Flowers that deteriorate over time are handled by many supply systems. A significant
number of flowers are wasted because of poor supply chain management, which causes
significant financial losses. Although cross-docking terminals are often employed in
cold supply chains for product distribution, they have not obtained sufficient interest in
the research field. This study offers a mixed-integer mathematical model for truck
scheduling optimization at a cold-chain cross-docking terminal to increase the
effectiveness of flower delivery. This study focuses on the case of the Sinofar Flower
Company with the aim to minimize the waiting cost and delayed cost during truck
scheduling. A specialized Evolutionary Algorithm, which is inherited from the Firstcome-first-served policy, was created to address the problem due to the suggested
model's complexity. A thorough comparison with IBM Cplex Optimization is used to
evaluate the created algorithm's computing performance throughout the numerical
measurement. Additionally, the suggested approach exhibits a satisfactory steady state
of its solution quality. The distribution of flowers in cold supply chains involves several
supply chain stakeholders, hence extra sensitivity studies are conducted in order to draw
some significant management implications that may be of interest to them. | en_US |
