There are 0 repository under process-optimization topic.
A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey
:computer: Workflow Data For Github Actions & Linux Server Testing of Lockdown Enterprise Content :computer:
Data-driven computer-aided molecular and process design
:computer: Workflow Data For Github Actions & Windows Server Testing of Lockdown Enterprise Content :computer:
Anki Flashcards for 3rd Year Courses
This tool models and optimizes user tasks based on real-world behaviors. It transforms individual task models into unified, constraint-driven representations, using examples like Wordle to demonstrate its effectiveness. The tool visualizes task flows for better design and efficiency.
Evidence Based Decisions Using Big Data Analytics
Generative AI-based system for simulating industrial processes, enabling predictive maintenance, process optimization, and energy efficiency using GANs and IoT sensor integration
Q-Learning Implementation for Process Optimization A reinforcement learning project that calculates the shortest route between locations using the Q-Learning algorithm. This code demonstrates how AI can optimize processes in a simulated environment with predefined states and rewards. 🚀
A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.
Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.
Multi-objective Bayesian optimization for physical experiments with Ax.
Examining a hospital's data by applying various filters to the data and interpreting the statistical results using Disco software, identifying problems in the process, designing new processes that will increase efficiency and drawing the flowchart of new process designed with Microsoft Visio.
Optimizing the sales proposal process using Six Sigma DMAIC methodology to reduce cycle time, defects, and inefficiencies.
Computer-aided molecular and process design using Bayesian optimization
Repositorio para los códigos de GAMS usados en el curso de Optimización de Procesos.
Personal portfolio of service operations models and problem-solving exercises completed by Belén Llatas Beny during the course Service Operations Management at Hofstra University (New York, USA). All problem statements are academic materials provided by the instructor; all solutions were developed by me using Excel and quantitative methods.
Personal portfolio of supply chain models built with Excel and Solver during my university course at Hofstra (New York). All files created by me.
Lean methodologies and inventory control optimization frameworks from manufacturing experience
Tools and methodologies for packaging design verification and process optimization - achieved 20% cost reduction
This presents my portfolio of services and skills.
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.
A Python project implementing polynomial regression to analyse and predict manufacturing-related data. Features include data preprocessing, model training, and visualisation of results. Ideal for exploring machine learning applications in manufacturing process optimisation.
A curated collection of custom business tools developed by Pablo Hacker using Python and VBA. Designed to streamline operations, automate repetitive tasks, and enable data-driven decision-making in procurement, logistics, and supply chain management.