A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey

💻 Workflow Data For Github Actions & Linux Server Testing of Lockdown Enterprise Content 💻

Data-driven computer-aided molecular and process design

A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.

The smartest way to map, teach, and evolve workflows. Workable uses a distributed reasoning engine to turn intricate personal and professional processes into visually intuitive maps. It eliminates onboarding friction, identifies hidden bottlenecks, and actively proposes optimized workflow alternatives to ensure continuous improvement from day one.

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.

Generative AI-based system for simulating industrial processes, enabling predictive maintenance, process optimization, and energy efficiency using GANs and IoT sensor integration

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.

CPS 기반 공장 레이아웃 설계 및 최적화 프로젝트

💻 Workflow Data For Github Actions & Windows Server Testing of Lockdown Enterprise Content 💻

An AI-powered tool that analyzes workflows, identifies inefficiencies, and suggests automation opportunities using Large Language Models.

Evaluación de KPIs y rendimiento operativo para identificar áreas de mejora en servicios de telecomunicaciones.

End-to-end ML pipeline for the esterification process yield prediction and optimization using neural networks.

Evidence Based Decisions Using Big Data Analytics

Reduce laboratory Turnaround Time by identifying bottlenecks across the accession → collection → receipt → analysis → verification → report workflow. Deliverables: KPI dashboard, bottleneck analysis, and optimization recommendations.

Strategic framework for digital transformation in multi-national manufacturing. designed for conservative organizations

Data-driven optimization of Teradyne’s excess inventory approval process using Python, lead-time adjusted demand modeling, and financial risk analysis to improve capital efficiency and reduce excess spend.

Anki Flashcards for 3rd Year Courses

A High Distinction (HD) project focused on Enterprise Architecture design, BPMN 2.0 process modeling, and system performance optimization for complex service ecosystems.

This repository contains machine learning models for predicting the degree of SiO2 extraction from iron ore tailings using aqueous solution of ammonium bifluoride (NH4HF2). The prediction models take into account three key parameters: temperature, reaction time, and NH4HF2 concentration.