Solving an item production scheduling problem with the help of mathematical optimization

Argument validation library based on JSDOC syntax

An AI-powered app for flowing bottom-hole pressure estimation and analysis in oil wells with multiphase flow.

CHEMON - 化工过程多智能体整体编排系统 | A multi-agent collaborative system for chemical process control

A repo designed to digitalize quality control in battery manufacturing with real-time monitoring and predictive analytics. Quality_APP leverages data from IPQC, FQC, and OQC stages to assess production risks and improve decision-making. Integrated with a Manufacturing Execution System (MES), it enhances inspection processes, predicts reliability

COM interface to OpenServer written in R

AI-powered adaptive production scheduling system which Combines forecasting, optimization, and real-time reallocation with an interactive dashboard.

Sistema de gerenciamento de estoque com sugestão inteligente de produção. Spring Boot + React + PostgreSQL. Teste técnico Autoflex.

This project is a React application scaffolded with Webpack. It utilizes various webpack plugins and loaders to bundle and optimize assets. The project configuration includes settings for both development and production environments.

Study Night is a production-optimized flashcard web app built with JavaScript. The project demonstrates best practices in front-end optimization, automation, and testing using Gulp, Parcel, ESLint, Prettier, Mocha, and Cypress.

🛢️ Visualize and forecast oil & gas well production with a user-friendly dashboard for data cleaning, engineering, and machine learning training.

Hybrid Cost-Tolerance Allocation and Production Strategy Selection for Complex Mechanisms: Simulation and Surrogate Built-In Optimization Models (http://dx.doi.org/10.1115/1.4056687)

AI-native Manufacturing Execution System integration layer — intelligent work order routing, real-time production optimization, and predictive capacity planning

DigiRail: Solución avanzada para el monitoreo y control industrial, enfocada en optimización de la producción a través de datos en tiempo real y análisis. Compatible con dispositivos Modbus

AI-powered production line optimization using reinforcement learning (PPO).

Industrial tool life (Standzeit) optimization. Statistical comparison of 4 production variants using non-parametric Kruskal-Wallis and Post-hoc tests in R.

A professional Streamlit-based web application for reservoir surveillance and well operations analysis using the Volve field production dataset from the Norwegian Continental Shelf.

Data & Analytics Expert specializing in optimizing industrial operations through end-to-end data science solutions. Focus on supply chain, maintenance, and production optimization using Python (Pandas/Scikit-learn), SQL, and machine learning to drive efficiency and cost savings.

WellRX — AI-powered daily production Rx for gas-well operators. Virtual petroleum, production & chemical engineering team. Live SCADA diagnostics, field-ready reports by 6:30 AM.

Algorithm of Moore with a sample project