| dc.description.abstract | The primary subjects covered and explored in this study will be the delivery of agricultural
materials by the Loc Troi Group with Vehicle Routing Problem under capacitated and time
window constraints. To maximize profits and lower operating expenses, it is vital to
optimize costs, transit time, and route planning based on company objectives. A MixInteger Linear Programming technique is utilized to generate the mathematical model and
operate the system for network design in an effort to achieve this goal. Customers' location
and demand will first be allocated integer values based on MILP, after which a model will
be built with particular constraints (capacity, time window), and ultimately results will be
provided by PYTHON. In order to reach a decision, the data will be thoroughly examined
in terms of the relative importance of the various elements. The model will be tested with
3 scenarios, the first scenario is to reduce the number of trucks, the second to reduce
demand by 10% and finally to reduce demand by 10%. The outcomes demonstrate that the
algorithms produce the best outcomes and are appropriate for this situation, lead to the
result that original scenario illustrate the best solution for this problem. For improved
progress, nevertheless, more research should also be taken into account. And yet, more
investigation should also be explored for improved development | en_US |
