| dc.description.abstract | Cold chain logistics is a type of supply chain management that deals with temperature and
shelf life of products. The effectiveness of cold chain logistics in perishable food is
important when transporting with requirements which are travel time, control temperature,
and cost. In this study, a cold chain vehicle routing problem is proposed and then CPLEX
is used to solve all the constraints. This thesis attempts to resolve the company ‘s vehicle
routing problem applying metaheuristics algorithms and mathematical model to find the
desired route to obtain the goal of minimal the loss cost and considering the change of
driving speed in different time periods. The research framework is proposed with two
methods to achieve the solution. First, the mix integer programming is applied, and then
the exact solution is obtained by using the CPLEX. Next stage is solved by PYTHON with
larger scale of customer. The results are calculated from MINISTOP data, and optimal
routes are suggested to help the company optimize vehicle routing problem and minimize
the total transportation cost | en_US |
