| dc.description.abstract | The delivery of agricultural product supplies by the Blue Ocean JSC with vehicle
routing problems under capacitated and time frame restrictions will be the main topics
covered and investigated in this study. Optimizing costs, transit time, and route planning in
accordance with business objectives is essential to maximizing earnings and minimizing
operational expenses. In an attempt to do this, the mathematical model and system for
network design are generated using a Mix Integer Linear Programming technique. In order
to build a model with certain limitations (capacity, time window), suppliers' locations and
demand will first be assigned integer values based on MILP. PYTHON will then deliver the
final findings. The data will be carefully reviewed in terms of the relative relevance of the
various aspects in order to make a choice. Three scenarios will be used to evaluate the
model: a 10% reduction in demand, a 10% reduction in the number of trucks, and a 10%
reduction in variable costs. The results show that the algorithms generate the best results
and are suitable for this circumstance, which leads to the conclusion that the original
scenario is the optimal way to solve this issue. However, more study needs to be considered
as well for better advancement. However, additional research ought to be done in order to
promote better development | en_US |
