There are 3 repositories under six-sigma topic.
Maturity models for IT, Agile, DevOps, TOGAF, Six Sigma, P3M3, etc.
Preliminary Study for Depth Segmentation, this paper will be proceeding in KISM2021-Fall
I improved customer experience at the Indian Market located in Milpitas using Lean Six Sigma techniques. The primary focus of this project was to reduce customer checkout time, managing stockouts and excess of inventory and optimize the store layout. A DMAIC approach was followed for the process improvement. The checkout time was reduced to 18% using lean techniques like root cause analysis, FMEA, Hypothesis testing, Value stream mapping and SIPOC. I provided a forecasting method to avoid stockouts and excess inventory which will aid in reduction of wastage and enhance sustainability within the supermarket and increase profits.
This repository is a supplementary source of Quality Management.
Catalogue of Articles, Projects, Papers and Resources relating to PSE
A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey
Maturity Models
Various work from my time working for Walmart Supply Chain or that relates to Walmart in some way.
Course repository for learning R for Cornell course SYSEN 5300: Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems
Lean 6σ Green Belt Project: Process Improvement at Zoni Footwear Company using DMAIC Approach
Time series health workout data was extracted from my Apple watch to analyze workout variables. A Scope, descriptive statistics, pivot tables, C-Chart and scatter plots were created to check workouts outside of control. Tableau work was used to display correlations.
Incorporation of Lean methods in Special problem management at Lockheed Martin. A case on eliminating waste in the process flow of identification and resolution of special problems occurring in fighter jet testing labs.
Excel and Minitab exercises from "Sig Sigma Step-by-Step Guide" book in R programming language.
Expected sigma event frequency of S&P 500 daily returns based on historical returns, compared to normal distribution expected frequency.
Quality Control Charts in Python. Inspired by the R qcc package.