https://github.com/relostar-devil/lean-six-sigma-process-optimization-gentech

Lean Six Sigma (LSS) case study aimed at improving the proposal creation process at Gentech, a multinational corporation. The study follows the DMAIC framework to identify inefficiencies, streamline workflows, and enhance overall efficiency.
https://github.com/relostar-devil/lean-six-sigma-process-optimization-gentech

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Lean Six Sigma (LSS) case study aimed at improving the proposal creation process at Gentech, a multinational corporation. The study follows the DMAIC framework to identify inefficiencies, streamline workflows, and enhance overall efficiency.

• Host: GitHub
• URL: https://github.com/relostar-devil/lean-six-sigma-process-optimization-gentech
• Owner: Relostar-Devil
• Created: 2025-01-26T00:28:44.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-10T19:19:02.000Z (over 1 year ago)
• Last Synced: 2025-02-10T20:27:01.441Z (over 1 year ago)
• Homepage:
• Size: 18.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# **Project Overview**

This repository contains a case study on applying Lean Six Sigma (LSS) methodology to optimize the proposal creation process at Gentech, a multinational company facing declining revenue due to inefficiencies in its business operations.

# **Contents**

Lean Six Sigma Gentech.docx – A detailed case study report outlining the problem, process, and potential solutions.

Lean Six Sigma - Case Study - Gentech.pptx – A presentation summarizing the case study with key findings, data analysis, and recommendations.

# **Problem Statement**

Gentech has experienced an 18% decline in revenue over the past two years due to long cycle times in its proposal creation process. The CEO has set a 15% cycle time reduction goal to improve efficiency and regain market competitiveness.

# **Lean Six Sigma Approach (DMAIC)**

The project follows the DMAIC framework:

Define: Establish project charter, identify key stakeholders, and document the proposal creation process.

Measure: Analyze proposal cycle time, defect rates, and operational performance using DPMO & Sigma Level calculations.

Analyze: Identify bottlenecks through Pareto charts, Fishbone diagrams, and statistical correlation (bid complexity vs. cycle time).

Improve: Implement recommendations such as self-service portals, automation, and Agile methodologies.

Control: Develop a Control Plan to ensure sustainable improvements.

# **Key Findings**

High cycle times due to excessive handovers, manual processes, and non-standard approvals.

Correlation (0.83) between bid complexity and cycle time.

Sigma Level: 2.08, indicating significant process inefficiencies.

Major bottlenecks identified in seller information handoffs and product pricing approvals.

# **Recommendations**

Implement AI-driven predictive modeling for cycle time estimation.

Introduce RPA (Robotic Process Automation) to automate document preparation.

Deploy Knowledge Management systems to improve seller-BSS collaboration.

Reduce unnecessary approvals and adopt Agile methodologies to streamline workflows.

# **How to Use This Repository**

Read Lean Six Sigma Gentech.docx for an in-depth understanding of the case study.

Review Lean Six Sigma - Case Study - Gentech.pptx for visual insights and key takeaways.

Apply LSS methodologies to analyze business inefficiencies and optimize processes in similar scenarios.

# **License**

This project is shared for educational and research purposes.