Intensive classroom blocks, often 3–10 days. Ideal for immersion, hands-on workshops, and group work. Allows direct interaction with the instructor and participants.

• Benefits: Immersion, team cohesion, hands-on simulators
• Best for: Green Belt, Black Belt with practical workshops
• Typical duration: 3–10 days per module

Customized onsite or online sessions for teams, led by Master Black Belts. Focus on collaboration, simulations, and content tailored to company processes.

• Benefits: Tailored content, high engagement, live Q&A
• Best for: In-company training, certification programs
• KEEPLEAN format: Webinars and workshops with simulators

Same structure as classroom but delivered via video conference. Real-time classes with Q&A and group activities. Popular for flexibility and access to remote expert trainers.

• Benefits: No travel, access to remote trainers
• Best for: Geographically dispersed teams
• Tools: Teams, Zoom, interactive LMS platforms

Asynchronous e-learning with videos, quizzes, and optional coaching. Spread over several weeks. Less interactive but very flexible for busy schedules.

• Benefits: Total flexibility, available 24/7, lower cost
• Best for: White Belt, Yellow Belt, awareness training
• Duration: At the learner's pace

Combination of e-learning, live virtual sessions, and project coaching until certification. The most comprehensive approach for Green Belt and beyond.

• Benefits: Flexibility + interaction, personalized follow-up
• Best for: Green Belt and Black Belt with a real project
• Structure: Online modules + live sessions + coaching

Training delivered on-site, fully adapted to your organization's processes, data, and projects. Maximizes immediate skills transfer.

• Benefits: 100% customized, direct ROI, cohesion
• Best for: Groups of 8–20, LSS deployment
• Content: Real company cases, KEEPLEAN simulators

• PCA (Principal Component Analysis): Reduces dimensionality of complex datasets
• Factor Analysis: Identifies latent factors in data
• Used to understand complex systems with many variables

• Weibull Analysis: Models component lifetime distributions
• Accelerated Life Testing (ALT): Predicts durability through accelerated testing
• Essential for automotive, aerospace, and electronics industries

• Optimizes processes with curved responses (quadratic models)
• Centered designs: Central Composite Design, Box-Behnken
• Finds optimal process operating conditions

• Advanced FMEA: Design FMEA, Process FMEA with weighted RPN
• Resource Optimization: Project resource optimization
• LSS project portfolio management

• Kotter's 8 Steps: 8-step change leadership model
• ADKAR Model: Awareness, Desire, Knowledge, Ability, Reinforcement
• Essential for sustainably embedding improvements

• Python / R for statistics: Automating analyses
• Business Acumen: Financial literacy, ROI of LSS projects
• Aligning LSS strategy with business objectives

Your team doesn't just get certified — they build a complete improvement ecosystem during the training itself. Not classroom theory: production-ready tools created on your live processes.

Optimizes product formulations where component proportions must sum to 100% (or 1), such as alloys, foods, chemicals, or plastics — common in injection molding or energy heater blends.

Key Principles: The response depends solely on relative proportions, not total amount. The design space forms a geometric simplex (triangle for 3 components, tetrahedron for 4+). Components cannot exceed their feasible range.

Main Design Types:

• Simplex-Lattice: Tests vertices (pure components), edges (two-component blends), and uniform blends. Simple for linear/quadratic models.
• Simplex-Centroid: Adds a center point (equal proportions) to capture curvature effects.
• Extreme Vertices: Handles real constraints (e.g., min 20% Component A, max 50% B); focuses on boundary points.
• D-Optimal: Computer-generated for complex constraints; minimizes prediction error across the design space.

Developed by Genichi Taguchi, these methods aim to design products and processes that are robust to variation and noise factors — minimizing defects without eliminating their causes.

Core Concept: Use orthogonal arrays to efficiently test multiple control factors at multiple levels, then evaluate results using the Signal-to-Noise (S/N) ratio to identify settings that minimize variation.

Key Elements:

• Orthogonal Arrays (L4, L8, L9, L16…): Structured experiment matrices that reduce the number of runs while maintaining balanced factor coverage.
• Signal-to-Noise (S/N) Ratio: Measures robustness — Smaller-is-Better, Larger-is-Better, or Nominal-is-Best depending on the quality objective.
• Control vs. Noise Factors: Control factors are adjustable; noise factors (temperature, humidity, wear) cause variation. Taguchi finds control settings that are insensitive to noise.
• Parameter Design: Optimizes factor levels to achieve target performance with minimum variation.
• Tolerance Design: Tightens tolerances only where needed after parameter design, balancing quality and cost.
• Loss Function: Quantifies quality loss as a quadratic function of deviation from target — any deviation from the ideal causes loss, not just out-of-spec parts.

Typical applications: Injection molding parameter optimization, energy systems, coating processes, electronics reliability — all areas covered by KEEPLEAN simulators.

A structured training program applying Lean principles across the entire supply chain — from supplier to end customer. Participants learn to eliminate waste, create flow, and build pull systems on real supply chain scenarios.

🎯 PROGRAM LEARNING OUTCOMES

🛠 TOOLS COVERED IN THIS PROGRAM

VSM · JIT · Kanban · Heijunka · Takt Time · 5S (warehousing) · Supermarkets · Kaizen Events · Gemba Walk · Visual KPI Boards

🗑 8 WASTE TYPES TARGETED (MUDA)

Overproduction · Excess inventory · Waiting · Unnecessary transport · Overprocessing · Excess motion · Defects · Underutilized talent

Ability to articulate findings to stakeholders at all levels. Presenting complex data clearly and persuasively. Writing reports and Project Charters effectively.

Guides cross-functional teams toward a common goal. Effective delegation, motivating members, facilitating meetings. Critical for Green Belt and above.

Builds stakeholder buy-in and manages resistance to change. Understands the concerns of operators and management. Essential during Improve and Control phases.

Adjusts to shifting priorities and unexpected findings during a project. Quickly pivots approach when data indicates a new direction.

Manages disagreements within the team and with stakeholders. Mediation techniques and win-win solution seeking. Critical during project handover (Control phase).

On-time delivery in a part-time project context (Green Belt). Task prioritization, meeting milestones, managing certification tollgates.