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SCHOOL OF SCIENCE AND ENGINEERINGSOLVING VEHICLE ROUTING PROBLEM USING OPTIMIZATION TOOLS Capstone Final ReportSubmitted in Spring 2022 FatimaEzzahra BoughazrounSupervised by Dr. Islam Nissan SCHOOL
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How to fill out solving vehicle routing problem

01
Understand the problem constraints such as vehicle capacities, time windows, and distance limitations.
02
Identify the depots, customers, and their respective demands and locations.
03
Choose a suitable algorithm such as Clarke-Wright Savings algorithm or Genetic algorithms for solving the vehicle routing problem.
04
Assign vehicles to routes based on optimization criteria such as minimizing total distance travelled or maximizing vehicle utilization.
05
Iteratively refine the routes by optimizing for efficiency and meeting all constraints until a satisfactory solution is found.

Who needs solving vehicle routing problem?

01
Transportation companies looking to optimize their delivery routes and reduce transportation costs.
02
Logistics companies aiming to improve their supply chain management and enhance customer satisfaction.
03
City planners seeking to optimize public transportation routes for efficiency and sustainability.
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Solving vehicle routing problem involves finding the most efficient way for a fleet of vehicles to visit a set of locations and deliver goods.
Companies or organizations that manage a fleet of vehicles and need to optimize their delivery routes are required to file solving vehicle routing problem.
To fill out solving vehicle routing problem, one must gather information on the locations to be visited, the capacity of the vehicles, and any time or distance constraints.
The purpose of solving vehicle routing problem is to reduce costs, improve efficiency, and ensure timely delivery of goods.
The information reported on solving vehicle routing problem includes the list of locations to be visited, the capacity of each vehicle, any time or distance constraints, and the desired outcome.
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