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vrp-backhauls

Optimizes vehicle routes with deliveries and pickups using heuristic and exact methods including OR-Tools.

56|16|Updated Oct 18, 2025
Search Tags:#heuristics#logistics#delivery#pickup#route optimization#vrpb#or-tools
One-click install
npx skills add https://github.com/kishorkukreja/awesome-supply-chain --skill vrp-backhauls
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vrp-backhauls
Source: https://github.com/kishorkukreja/awesome-supply-chain/tree/main/skills/vrp-backhauls
Command: npx skills add https://github.com/kishorkukreja/awesome-supply-chain --skill vrp-backhauls

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, ortools, matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the complex challenge of optimizing vehicle routes that involve both deliveries (linehauls) and subsequent pickups (backhauls), ensuring efficient logistics and resource utilization.

Core Features & Use Cases

  • VRPB Solvers: Implements both heuristic (Sweep Algorithm with 2-opt) and exact (OR-Tools) methods for solving Vehicle Routing Problems with Backhauls.
  • Sequential Constraint Handling: Enforces or relaxes the constraint that all deliveries must be completed before any pickups begin.
  • Capacity Management: Manages vehicle capacity for both delivery and pickup demands.
  • Visualization: Provides visual output of optimized routes.
  • Use Case: A logistics company needs to plan daily routes for its delivery trucks. Each truck starts at a depot, makes several deliveries, and then picks up returned goods from customers on its way back to the depot. This Skill can generate the most efficient sequence of stops for each truck.

Quick Start

Use the vrp-backhauls skill to solve a VRPB problem with the provided coordinates, demands, capacity, and number of vehicles.

Frequently Asked Questions about vrp-backhauls

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize delivery and pickup routes with sequential constraints?▼

Optimize delivery and pickup routes by solving the Vehicle Routing Problem with Backhauls (VRPB), which enforces sequential constraints ensuring all linehauls finish before backhauls begin. This Skill handles mixed-demand scenarios to maximize logistics resource utilization.

Can I use OR-Tools for exact vehicle routing with backhauls?▼

Yes, OR-Tools is supported as an exact method for solving the Vehicle Routing Problem with Backhauls. It manages dual-demand vehicle capacity and sequential delivery-before-pickup constraints alongside an alternative heuristic Sweep Algorithm with 2-opt.

What is the difference between heuristic and exact methods for VRPB?▼

Heuristic methods for VRPB use the Sweep Algorithm with 2-opt for faster, approximate route optimization, while exact methods leverage OR-Tools to find mathematically optimal solutions. Both approaches manage sequential constraints and dual-demand vehicle capacity.

How do I visualize optimized routes for mixed delivery and pickup demands?▼

Visualize optimized routes for mixed delivery and pickup demands using the Skill's built-in matplotlib visualization component. It generates graphical outputs of the solved VRPB routes, helping you analyze the sequence of stops and vehicle assignments.

Does this VRPB solver handle reverse logistics and vehicle capacity management?▼

Yes, the VRPB solver explicitly addresses reverse logistics by optimizing backhaul pickups after linehaul deliveries. It manages vehicle capacity constraints for both delivery and pickup demands across the allocated number of vehicles.

When should I relax the constraint that deliveries must precede pickups in route optimization?▼

You can relax the strict sequential constraint that all deliveries must precede pickups when your logistics scenario allows mixed-demand stops. The Skill provides the flexibility to either enforce or relax this VRPB sequencing rule based on your operational requirements.

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