Project Scheduling Optimization - RCPSP

A basic implementation of Resource-Constrained Project Scheduling Problem using PuLP

This repository contains an implementation of the Resource-Constrained Project Scheduling Problem (RCPSP) using PuLP, a linear programming library in Python. The goal is to optimize the scheduling of multiple projects with tasks, considering resource constraints, precedence relations, and project due dates.

Features

• Generate Project Data: Create projects with tasks, durations, resource requirements, and precedence relations.
• Optimize Schedule: Solve the RCPSP to find the optimal schedule that minimizes the project makespan while respecting resource constraints.
• Visualize Results: Generate Gantt charts to visualize task schedules and worker load over time.

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