multi-depot-vrp
CommunityOptimize routes from multiple depots.
Authorkishorkukreja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the complex challenge of optimizing delivery routes when operations involve multiple distribution centers or warehouses, ensuring efficient logistics across a distributed network.
Core Features & Use Cases
- Multi-Depot Routing: Solves the Multi-Depot Vehicle Routing Problem (MDVRP) by assigning customers to the nearest or most efficient depot and then optimizing routes from each depot.
- Resource Optimization: Minimizes total travel distance, reduces the number of vehicles needed, and balances workload across depots.
- Use Case: A retail company with several regional distribution centers can use this Skill to plan daily delivery routes to all its stores, ensuring efficient use of its fleet and timely deliveries.
Quick Start
Use the multi-depot-vrp skill to find optimal routes for 50 customers and 3 depots with a vehicle capacity of 100.
Dependency Matrix
Required Modules
numpyscikit-learnortools
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: multi-depot-vrp Download link: https://github.com/kishorkukreja/awesome-supply-chain/archive/main.zip#multi-depot-vrp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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