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Optimal Vehicle Routing with Time Windows using Cplex Constraint Programming in Python

Learn how to solve the Single Depot Multi Vehicle Routing Problem with Time Windows using Python tools integrated with Cplex Constraint Programming. Explore multi-objective programming to minimize truck usage and optimize travel time. Demo compares route costs with time windows on/off. Data includes orders, locations, and truck capacity.

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Optimal Vehicle Routing with Time Windows using Cplex Constraint Programming in Python

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  1. Vehicle Routing with Time WindowsIntegrating Cplex Constraint Programming With Python Tools Martin Shell JumpStart Decision Sciences martin@martinshell.com

  2. Overview • Single Depot Multi Vehicle Routing Problem with Time Windows • Fleet of Identical Trucks • Respect Time Windows for Deliveries, Weight and Volume Constraints • Multi-Objective Programming • First Solve to Minimize Number of Trucks Used • Second – Fix Number of Trucks to Minimum and Optimize on Total Travel Time Demo Shows Comparison of Routes and Costs Resulting from Turning Time Windows for Delivery On or Off

  3. Sample Data Orders Locations Open and Close Times are in minutes after midnight Truck Capacity 3400 cu ft, 34000 lb.

  4. Location Map Display

  5. Solution Map Display 6 Trucks Used Total Travel Time 77:11

  6. Results Without Time Windows 4 Trucks Used Travel Time 51:02

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