Smart Lean Cell
Gamified Manufacturing Learning System – Fab Academy Final Project
1. Project Overview
Project Name: Smart Lean Cell
Type: Educational Flexible Manufacturing System
Purpose: To teach Lean Manufacturing through digital fabrication, automation, and gamification.
The project consists of designing and fabricating an intelligent hexagonal manufacturing cell, where a student assembles a modular product (Smart Rover) while interacting with an automated system composed of:
- Robotic Arm (Pick & Place)
- Conveyor Belt
- Visual Andon System
- Real-Time KPI Dashboard
- Custom Control PCB
- Wireless Communication
1. Project Overview
Project Name: Smart Lean Cell
Type: Educational Flexible Manufacturing System
Purpose: To teach Lean Manufacturing through digital fabrication, automation, and gamification.
The project consists of designing and fabricating an intelligent hexagonal manufacturing cell, where a student assembles a modular product (Smart Rover) while interacting with an automated system composed of:
- Robotic Arm (Pick & Place)
- Conveyor Belt
- Visual Andon System
- Real-Time KPI Dashboard
- Custom Control PCB
- Wireless Communication
Extended Literature Review – Smart Lean Cell
1. Lean Manufacturing Foundations
Lean Manufacturing originates from the Toyota Production System (TPS), developed by Taiichi Ohno and Eiji Toyoda in post-war Japan. The philosophy focuses on eliminating waste (Muda), improving flow, and maximizing value for the customer.
| Author | Year | Contribution | Relevance to Project |
|---|---|---|---|
| Womack & Jones | 1996 | Lean Thinking: Value, Flow, Pull, Perfection | Defines the conceptual backbone of the Smart Lean Cell |
| Taiichi Ohno | 1988 | Toyota Production System | Introduces Takt Time and Just-In-Time logic |
| Liker | 2004 | The Toyota Way | Defines continuous improvement and respect for people |
2. Flexible Manufacturing Systems (FMS)
Flexible Manufacturing Systems integrate automation, robotics, and programmable control to adapt to product variability. The Smart Lean Cell functions as a scaled educational FMS.
| Author | Concept | Application in Smart Lean Cell |
|---|---|---|
| Browne et al. | Flexible Manufacturing Systems | Hexagonal modular architecture |
| Groover | Automation, Production Systems | Integration of robotic arm + conveyor |
3. Educational Gamification in Engineering
Gamification improves engagement, retention, and experiential learning. Research shows that real-time feedback increases skill acquisition speed.
| Author | Year | Main Finding |
|---|---|---|
| Deterding et al. | 2011 | Gamification increases intrinsic motivation |
| Hamari et al. | 2014 | Game elements enhance engagement and performance |
4. Industry 4.0 and Educational Robotics
Industry 4.0 integrates IoT, cyber-physical systems, and data analytics. The Smart Lean Cell incorporates real-time data collection and dashboard monitoring aligned with smart manufacturing principles.
| Concept | Application |
|---|---|
| IoT Connectivity | WiFi communication for KPI dashboard |
| Cyber-Physical System | Integration of robotic arm + sensors + software |
| Data Analytics | Cycle Time, OEE, Takt Time monitoring |
Technical Glossary – Smart Lean Cell
| Term | Definition | Project Context |
|---|---|---|
| Lean Manufacturing | Production philosophy focused on waste elimination and value creation. | Core pedagogical framework. |
| Muda | Japanese term for waste (non-value-added activity). | Students reduce unnecessary movement. |
| Takt Time | Required production rate to meet demand. | Defined by robotic arm rhythm. |
| Cycle Time | Actual time to complete one unit. | Measured in dashboard. |
| OEE | Overall Equipment Effectiveness (Availability × Performance × Quality). | Evaluates human-machine efficiency. |
| Just-In-Time (JIT) | Production system delivering parts only when needed. | Robotic arm delivery logic. |
| Flexible Manufacturing System (FMS) | Automated system capable of adapting to product variation. | Hexagonal smart cell structure. |
| Andon System | Visual management tool indicating production status. | LED system (Green/Yellow/Red). |
| Pick & Place | Robotic mechanism that transfers objects between positions. | Central robotic arm function. |
| Cyber-Physical System | Integration of computational and physical processes. | Robotics + sensors + dashboard. |
| Gamification | Use of game mechanics in non-game contexts. | Three Lean Challenge levels. |
| PCB (Printed Circuit Board) | Board used to mechanically support and electrically connect components. | Custom ESP32 control board. |
2. Design Thinking Methodology -Smart Lean Cell
1. EMPATHIZE – Understanding the Learner
The first phase focuses on understanding people from the general public (10+ years old) who are curious about manufacturing, robotics, and the Toyota Philosophy but have no prior industrial knowledge.
User Profile
| Variable | Description |
|---|---|
| Primary Users | General public (10+ years old) |
| Motivation | Learn Toyota Philosophy in a practical way |
| Context | FabLabs, schools, maker spaces, STEAM workshops |
| Knowledge Level | Basic or no knowledge of industrial engineering |
| Main Barrier | Lean Manufacturing concepts are abstract and difficult to visualize |
Empathy Map
| Think & Feel | See | Say & Do | Pains / Gains |
|---|---|---|---|
| “Factories seem complex.” | Robots and machines online | Wants to build something real | Pain: Theory feels disconnected |
| Curious about efficiency | Digital fabrication tools | Experiments hands-on | Gain: Learning by doing |
2. DEFINE – Framing the Educational Challenge
Based on user insights, the problem is reframed as an educational challenge.
Core Insight
“Efficiency is not about working faster, but eliminating waste.”
Problem Statement
How might we design a physical and interactive system that allows people over 10 years old to understand and experience Toyota Philosophy principles in a tangible, measurable, and engaging way?
Design Criteria
| Category | Requirement |
|---|---|
| Educational | Must clearly visualize Lean principles (Muda, Flow, JIT) |
| Interactive | Hands-on assembly process |
| Technological | Includes robotics and real-time feedback |
| Measurable | Displays KPIs such as Takt Time and Cycle Time |
3. IDEATE – Concept Development
Multiple approaches were explored to make Lean principles accessible to non-experts.
| Concept | Strength | Limitation |
|---|---|---|
| Mobile App Simulation | Accessible anywhere | No physical interaction |
| Board Game | Simple and engaging | No automation or KPIs |
| Smart Lean Cell | Physical + Digital + Robotics + Data | High fabrication complexity |
The Smart Lean Cell was selected because it integrates real physical assembly with measurable industrial metrics, transforming Toyota Philosophy into a living experience.
4. PROTOTYPE – Iterative Development
The system was divided into independent modules to simplify testing.
| Module | Prototype Focus | Objective |
|---|---|---|
| Robotic Arm | Pick & Place accuracy | Define Takt rhythm |
| Conveyor Belt | Speed consistency | Simulate production flow |
| Dashboard | KPI visualization | Make Lean measurable |
| Structure | Ergonomics | Accessible to young learners |
5. TEST – Educational and Technical Validation
Validation focuses on both system performance and learning outcomes.
| Indicator | Measurement | Goal |
|---|---|---|
| Cycle Time Reduction | Dashboard Data | Demonstrate learning improvement |
| Understanding of Muda | User explanation after activity | Concept retention |
| Engagement Level | Observation + feedback | High motivation |
Success is achieved when users can explain Toyota Philosophy concepts after interacting with the Smart Lean Cell.
Design Thinking Process – Visual Documentation
Insert here an image summarizing the Design Thinking cycle applied to the Smart Lean Cell (Empathize → Define → Ideate → Prototype → Test).
3. The Product – Smart Rover Modular
| Component | Fab Academy Technique | Material / Function |
|---|---|---|
| Chassis | Laser Cutting | Acrylic or MDF 3mm press-fit |
| Wheels & Supports | 3D Printing | PLA snap-fit |
| PCB | Electronics Design | ESP32 with quick connectors |
| Casing | Molding & Casting | Lightweight resin |
| Sensors | Input Devices | IR or LDR |
4. Hexagonal Manufacturing Cell
The infrastructure is fabricated using CNC machining and designed with hexagonal architecture to optimize ergonomics and workflow.
- Center: Robotic Arm
- Front: Operator
- Sides: Component Containers
- Perimeter: Conveyor Belt
- Top: Display + Andon System
Prototyping – Assembly Station Based on TPS (Toyota Production System)
1. Bill of Materials (BOM) Design
The first step consisted in defining the Bill of Materials (BOM) for the assembly station. This stage is critical because it establishes all structural components required for fabrication and ensures modularity and scalability of the system.
The station is composed of:
- 2 lateral panels (main structural support)
- 5 crossbars (structural reinforcement)
- 1 main working board (assembly surface)
- 1 upper board (support for conveyor system)
This definition follows TPS principles by organizing components to support an efficient, ergonomic, and sequential workflow.
2. Parametric Design and Joinery Development
The structure was designed using parametric modeling in Fusion 360. This approach allows easy modification of dimensions and ensures adaptability of the design.
Key parameters such as material thickness, slot dimensions, and tolerances were defined to guarantee proper press-fit assembly.
Parametric modeling process:
Next, press-fit joints were designed using "dog bone" geometry to compensate for CNC tool radius. This ensures proper fitting between parts.
Additionally, lateral panels were modeled in 3D to validate structure, proportions, and assembly logic before fabrication.
3. Board Design and Component Assembly
The working surfaces (boards) were designed considering ergonomics and accessibility for the user during the assembly process.
The integration of structural components was validated through digital assembly, ensuring proper alignment and mechanical stability.
4. Modular Hexagonal Cell Design
A modular design strategy was implemented to create a flexible manufacturing cell. The system is composed of 4 modules that connect through angled edges to form a hexagonal configuration.
This configuration improves workflow distribution, operator interaction, and spatial efficiency.
The modular approach allows scalability and reconfiguration depending on the number of users or production requirements.
5. Final Assembly – TPS Production Station
The final assembly integrates all components into a functional production station. The system is designed for 4 users working sequentially, simulating a real Toyota Production System (TPS) assembly line.
Each operator performs a specific task, creating a continuous flow of production.
TPS concepts implemented:
- Kaizen (continuous improvement)
- Kanban (visual workflow control)
- Just-In-Time (JIT) production
- Sequential assembly flow
The goal of this system is to demonstrate how an optimized assembly line can improve efficiency, reduce waste, and enhance learning through hands-on interaction.
Final Render
The final render shows the complete system with all modules assembled, providing a clear visualization of the final design and its functionality.
5. Mechanical Systems
Robotic Arm
- 3–4 Degrees of Freedom
- 3D Printed Parts
- Stepper Motors
- Custom PCB Control
Delivers parts Just-In-Time and defines the Takt Time.
Conveyor Belt
- DC or Stepper Motor
- End-stop Sensor
- Synchronized with Robotic Arm
6. Electronic System
Custom PCB includes:
- ESP32 MCU
- Motor Drivers
- Voltage Regulation
- Sensor Connectors
- LED Outputs for Andon
7. Networking & Dashboard
Communication via WiFi / Serial / MQTT.
| KPI | Educational Purpose |
|---|---|
| Takt Time | Required production rhythm |
| Cycle Time | Real assembly time |
| Lead Time | Total process duration |
| OEE | Human-machine efficiency |
| Efficiency % | (Target / Real) x 100 |
8. Gamification – The Lean Challenge
Level 1 – Chaos (Push)
No robotic arm or conveyor. High cycle time.
Level 2 – Synchronization
Arm delivers parts at fixed rhythm.
Level 3 – Optimization
User programs delivery order to reduce time.
9. Fab Academy Integration
| Week | Integration |
|---|---|
| Computer-Controlled Machining | CNC Hexagonal Cell |
| Laser Cutting | Rover Chassis |
| 3D Printing | Wheels & Robotic Arm |
| Molding & Casting | Rover Casing |
| Electronics Design | Control PCB |
| Embedded Programming | System Logic |
| Networking | WiFi Dashboard |
| Machine Design | Robotic Arm & Conveyor |
10. Fab Academy Final Project Compliance
✔ Original design
✔ Significant digital fabrication
✔ Custom electronics
✔ Embedded programming
✔ Mechanical system
✔ Multidisciplinary integration
✔ Functional prototype
✔ Complete documentation