151  Industry 4.0 Maturity Assessor

Interactive Assessment Tool for Digital Transformation Readiness

animation
industry-4.0
assessment
manufacturing

151.1 Industry 4.0 Maturity Assessment Tool

This interactive tool helps organizations assess their Industry 4.0 maturity level across six key dimensions. Rate your organization on each dimension, compare against industry benchmarks, and receive a comprehensive improvement roadmap with investment estimates.

NoteAssessment Overview

The Industry 4.0 Maturity Model evaluates organizational readiness across:

  • Strategy & Organization: Digital vision, governance, and leadership commitment
  • Smart Factory: Automation, robotics, and flexible manufacturing
  • Smart Operations: Real-time monitoring and predictive maintenance
  • Smart Products: Connected products and digital twins
  • Data-Driven Services: Analytics and new business models
  • Employees & Culture: Digital skills and innovation culture
TipHow to Use This Tool
  1. Select your industry sector and company size
  2. Rate each dimension from 1 (Basic) to 5 (Advanced)
  3. Set your target maturity level
  4. View your radar chart comparing current vs target vs benchmark
  5. Review gap analysis and priority recommendations
  6. Generate improvement roadmap with investment estimates

151.2 Understanding Industry 4.0 Maturity Levels

151.2.1 Level 1: Computerization

Basic IT infrastructure exists but operates in silos. Manual data entry predominates, and there is no real-time visibility into operations.

Characteristic Description
Systems Standalone computers, basic ERP
Data Manual collection, spreadsheets
Connectivity Minimal, air-gapped systems
Decision Making Reactive, based on historical reports

151.2.2 Level 2: Connectivity

Systems are connected but data remains siloed. Basic automation exists for repetitive tasks.

Characteristic Description
Systems Connected LANs, basic SCADA
Data Automated collection, limited sharing
Connectivity Plant-level networks
Decision Making Near real-time monitoring possible

151.2.3 Level 3: Visibility

Real-time data is available across the enterprise. Digital shadow enables monitoring of all operations.

Characteristic Description
Systems Integrated MES, IoT platforms
Data Real-time dashboards, KPIs
Connectivity Edge-to-cloud connectivity
Decision Making Data-driven, proactive

151.2.4 Level 4: Transparency

Root cause analysis is automated. Predictive capabilities enable anticipating issues before they occur.

Characteristic Description
Systems Digital twin, ML pipelines
Data Predictive analytics, simulations
Connectivity Full ecosystem integration
Decision Making Predictive, insight-driven

151.2.5 Level 5: Predictability

AI-driven autonomous systems continuously optimize operations without human intervention.

Characteristic Description
Systems Autonomous optimization loops
Data Prescriptive AI, closed-loop
Connectivity Real-time ecosystem orchestration
Decision Making Autonomous within parameters

151.3 Assessment Dimensions Deep Dive

151.3.1 Strategy & Organization

Measures digital vision, governance structures, and leadership commitment to Industry 4.0 transformation.

TipKey Questions
  • Is there a comprehensive digital transformation roadmap?
  • Does leadership actively champion Industry 4.0 initiatives?
  • Are digital investments aligned with strategic objectives?

151.3.2 Smart Factory

Evaluates automation levels, robotics deployment, and flexible manufacturing capabilities.

TipKey Questions
  • What percentage of production is automated?
  • Are collaborative robots deployed?
  • Can manufacturing adapt quickly to product changes?

151.3.3 Smart Operations

Assesses real-time monitoring, predictive maintenance, and process optimization capabilities.

TipKey Questions
  • Is real-time monitoring available for all critical equipment?
  • Are predictive maintenance models in use?
  • Is quality control automated?

151.3.4 Smart Products

Measures connectivity in products, digital twin capabilities, and product-as-a-service models.

TipKey Questions
  • Are products connected and data-enabled?
  • Do digital twins exist for key products?
  • Is remote diagnostics available?

151.3.5 Data-Driven Services

Evaluates analytics capabilities, new business models, and customer insight generation.

TipKey Questions
  • Is there a centralized analytics platform?
  • Are AI/ML models deployed for insights?
  • Are data-driven services generating revenue?

151.3.6 Employees & Culture

Assesses digital skills, change management, and innovation culture throughout the organization.

TipKey Questions
  • Do employees have digital literacy training?
  • Is there a culture of continuous improvement?
  • Are innovation labs or programs in place?

151.4 Industry Benchmarks

Dimension Manufacturing Logistics Energy Healthcare Retail
Strategy & Organization 2.8 2.5 3.1 2.3 2.7
Smart Factory 3.2 2.1 2.8 2.0 1.8
Smart Operations 2.9 3.0 3.3 2.4 2.2
Smart Products 2.6 2.2 2.5 2.8 3.0
Data-Driven Services 2.4 2.7 2.9 2.6 3.2
Employees & Culture 2.5 2.4 2.6 2.2 2.8
NoteAbout These Benchmarks

Benchmarks represent typical scores for organizations actively pursuing digital transformation. Your organization may vary based on size, geography, and specific sub-sector focus.

151.5 What’s Next


This assessment tool demonstrates key OJS/D3.js concepts:

  1. Radar/Spider Chart: Calculated using polar coordinates with D3.js lineRadial
  2. Interactive Sliders: Range inputs with real-time state updates
  3. State Management: Centralized state object for reactive updates
  4. Gap Analysis: Real-time comparison against target and industry benchmarks
  5. Investment Calculator: Dynamic estimates based on company size and gap
  6. Gantt-style Roadmap: SVG-based timeline visualization
  7. IEEE Color Palette: Consistent styling with book design system

The tool uses the ACATECH Industry 4.0 Maturity Index as its foundation.