A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
- Updated
Sep 3, 2025 - Python
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
The Rx Asset Management System for motion picture production
3D Print Farm ERP - Production-grade manufacturing resource planning for additive manufacturing
Production Fixed Horizon Planning with Python
A mixed-integer programming model for an integrated production planning problem with preventive maintenance in the pulp and paper industry
Production Planning & Scheduling Application
Multi-objective job shop scheduling system using NSGA-II algorithm to optimize makespan, energy costs, and tardiness simultaneously. Features energy-aware scheduling with time-of-use tariffs and Pareto front visualization
Analyze and propose the plan to monitor and estimate business aspects
Genetic algorithm with a giffler thompson algorithm for JSSP
This repository contains the models that my friend (Amirmahdi Amrollahi) and I have used for the production planning course in University of Tehran.
This new package enables users to input a description or details about an animated character and receive a structured summary or step-by-step plan to bring that character into the real world, such as
[Production Scheduling] Optimization Application
Quantitative Methods for Logistics
Designated repo to explore, learn, execute and exercise Optimization application within the realm of Operation Research and Business Analytics
This repository contains the files of my project for the "Production Planning" course at AUT (Tehran Polytechnic).
SmartPPC a DDMRP based Production Planning and Control Module
This repository represents a comprehensive operations research case study at a steel production plant facility implementing aggregate production planning using Excel solver to minimise scrap generation across three specialised divisions.
A Python web app using Streamlit & PuLP for ILP-based production scheduling. Maximizes profits by assigning products to machines, factoring in batch sizes, setup times, rates, costs, & demand. User-friendly, flexible, & ideal for manufacturing.
Automated inventory management solution for Shopify-based manufacturing DTC operations.
This project aims to create a robust interface for managing production planning and control data at CaetanoBus. The project focuses on improving the accessibility and usability of production data to enhance decision-making and operational efficiency.
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