Problem Statement:
The challenge was to design efficient routes for a fleet of vessels that could transport multiple commodities to various ports and customers while minimizing waiting times, preventing stock-outs, and considering constraints such as vessel capacity, port congestion, and time window restrictions.
Solution:
The Vessel Routing Optimizer utilizes algorithms to maximize the quantity of cargo in each vessel while minimizing waiting times at ports and preventing stock-outs. It considers vessel capacity, port congestion, time window restrictions, and demand requirements at different ports to generate the most efficient routes for the fleet.
Benefits:
The solution enables efficient transportation of multiple commodities to various ports and customers, leading to reduced waiting times, minimized occurrences of stock-out, and optimized vessel capacity utilization. This ultimately results in cost savings for the company and improved customer satisfaction.
