CLIENT CASE STUDY
CA SE STUDY – MERCEDES-BENZ
Mercedes-Benz, a global leader in automotive manufacturing, sought to enhance the efficiency of its auto parts warehouse in
PROJECT OVERVIEW
Miralcampo, Spain. The primary goal was to optimize the facility's operational efficiency, focusing on three critical areas: forklift
path optimization, visualizing parts order frequency, and developing a carbon twin to monitor environmental impact.
Analysis of inefficiencies and delays in troubleshooting issues within the warehouse.
FEASIBILITY STUDY
Exploration of potential areas for digital twin implementation to improve efficiency.
DIGITAL TWIN PLAN Conceptualization of a digital twin to monitor and manage warehouse operations.
Identification of key features necessary to address warehouse inefficiencies.
POC: Early-stage implementation in a controlled section of the warehouse.
USE CASES
Alpha: Integration of more functionalities based on initial feedback.
Beta: Full-scale deployment in the warehouse with continuous improvement.
Final: Fully functional system with comprehensive features.
Future: Plans for upgrades and additional features based on emerging needs.
Creating Warehouse 3D Sandbox and integrating the digital twin with existing warehouse systems.
IMPLEMENTATION
Application utilization by Mercedes-Benz for real-time monitoring and issue resolution.
ROI ANALYSIS Assessment of troubleshooting times and operational efficiency before and after implementation.
Documentation of the 50% reduction in mean time to troubleshoot issues.
CA SE STUDY – PORT OF ALICANTE
The Port of Alicante, a significant maritime hub in Spain, initiated a project to create a digital twin of its shipping terminal. The
PROJECT OVERVIEW
objective was to enhance the terminal's operational efficiency by controlling and monitoring energy and water supply to each hub
and optimizing the dynamic pathfinding of trucks to container routes.
Identification of operational inefficiencies and potential areas for cost savings.
FEASIBILITY STUDY
Assessment of energy and water usage, and cargo handling processes.
DIGITAL TWIN PLAN Designing a digital twin solution to optimize energy, water usage, and cargo handling.
Planning for integration with existing port infrastructure.
POC: Initial implementation in a controlled environment for one hub and limited port area.
USE CASES
Alpha: Expansion of features based on initial tests to include other hubs and truck to container routing areas.
Beta: Comprehensive deployment across entire terminal.
Final: Fully operational digital twin with all intended functionalities.
Future: Scalability and additional features for continued efficiency.
Deploying 3D Shipping Terminal Sandbox integrating the digital twin with existing data to showcase the planned features.
IMPLEMENTATION
Utilization of the digital twin by port authorities for operational management.
ROI ANALYSIS Comparison of energy, water costs, and cargo handling efficiency before and after digital twin implementation.
Calculation of the 20% reduction in costs and 15% increase in efficiency.
CA SE STUDY – POWER GRID
In an ambitious move to revolutionize its electrical grid management, Power Grid Corporation of India Limited undertook the
PROJECT OVERVIEW
development of a digital twin solution for its Manesar GIS (Gas Insulated Substation) 440kV substation. The project aimed at
enhancing the operational efficiency and maintenance of the substation through advanced digital technologies.
Identification of challenges in on-field operations and maintenance, including inefficiencies and high manpower requirements.
FEASIBILITY STUDY
Analysis of potential savings avenues through digitization.
DIGITAL TWIN PLAN Design of a digital twin to simulate and monitor the substation's operations.
Strategies to address identified bottlenecks using digital twin technology.
POC: Initial testing on a small section of the substation.
USE CASES
Alpha: Expanded testing with more features.
Beta: Full-scale deployment with feedback integration.
Final: Complete implementation with all functionalities.
Future: Potential enhancements and scalability plans.
Digital Twin implementation process, including system integration, staff training, and real-time data utilization.
IMPLEMENTATION
Digital twin solution adoption by Power Grid for operational improvements.
ROI ANALYSIS Comparison of operational costs and manpower requirements before and after digital twin implementation.
Calculation of savings achieved, leading to the 40% reduction in on-field operators.
CUSTOMER JOURNEY – PROCESS GANTT CHART
Initial Discussions
Feasibility Study & Digital Twin Plan
Use Cases for Success
Data Gathering
Digital Twin Implementation
Publish Digital Twin Application
Maintenance and Security Updates
Ongoing Development
Month 1 Month 2 Month 3 Month 4+
D ATA G AT H E R I N G M E T H O D S
• Images/Videos: Utilized for photogrammetry to create detailed 3D models
and provide visual data for IoT system calibration and verification.
• BIM Files: Serve as a foundational data source for constructing accurate and
detailed 3D models of buildings and infrastructure.
• Site Scans: Employed to capture the current physical state of a location,
enabling precise 3D reconstruction and integration with IoT data for real-
time monitoring.
• ERP Sources: Provide structured business data for aligning 3D models with
operational processes and integrating with IoT systems for enhanced
decision-making.
• DB Integrations: Facilitate the merging of existing database information with
3D models and IoT data, enriching digital twins with historical and operational
context.
• IoT Sensors: Collect real-time data from the physical environment, essential
for updating and validating 3D models and for dynamic interactions within
digital twins.
• Edge Devices: For legacy scenarios where we don’t have access to the IoT
sensors, edge devices can act as a local data collection points providing
immediate processing and integration of sensor data
B E N E F I T S O F D I G I TA L T W I N S
THANK YOU
YUVRAJ TOMAR
yuvraj@cloudworx.ai
+919880167551
