Electrolux

Building A Centralized Data Platform For Electrolux

Electrolux, a global leader in home appliances, partnered with Symufolk to transform its maintenance operations and shift from Industry 3.0 to Industry 4.0. Symufolk’s expertise in centralized data solutions and cutting-edge technologies enabled Electrolux to overcome operational inefficiencies, optimize processes, and future-proof their manufacturing ecosystem. This collaboration resulted in a robust platform that standardized data, improved decision-making, and positioned Electrolux for sustained growth.

Total Hours

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Team Members

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Efficiency

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Satisfaction Rate

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Challenges

Fragmented Data: Manufacturing data was dispersed across multiple factories, causing inconsistencies and inefficiencies.
Limited Factory Insights: Isolated operations restricted global benchmarking and the sharing of best practices.
Operational Inefficiencies: Inconsistent data structures created bottlenecks, delaying decision-making and reducing productivity.
Scaling Challenges: Integrating new factories and systems into the existing infrastructure became increasingly complex.
Lack of Global Integration: Isolated factories hindered regional data sharing and collaboration.

Solution

Symufolk implemented a centralized data platform tailored to Electrolux’s needs. A Master Data Management (MDM) framework was introduced to unify data structures across factories, ensuring consistency and accuracy.

Automated data pipelines were established for real-time processing, enabling predictive maintenance and reducing manual interventions.

The solution was designed with scalability in mind, allowing seamless integration of new factories and technologies. By leveraging Industry 4.0 technologies, Electrolux was empowered to achieve operational efficiency, reduce downtime, and prepare for future expansions.

our input

Python

GraphQL

Node.js

NestJS

PHP

Microsoft Net

RESULTS

By centralizing data, SymuFolk streamlined operations, real-time decision-making, and global integration, enabling predictive maintenance and automation for Electrolux’s Industry 4.0 transformation.

30%

Real-Time Insights

Achieved 30% faster decision-making across regions.

25%

Data Standardization

Reduced errors by 25% and improved benchmarking accuracy by 40%.

20%

Predictive Maintenance

Decreased downtime by 20% and equipment failures by 15%.

how we did it

Data Standardization

Implemented a Master Data Management (MDM) framework to unify data structures across factories.

Real-Time Processing

Automated data pipelines provided instant insights, reducing delays caused by manual processes.

Predictive Analytics

Deployed predictive maintenance systems to minimize equipment failures and production downtime.

Scalability & Flexibility

Designed the solution to accommodate future expansions and integrate seamlessly with new technologies.

Team Members

6 dedicated professionals from Symufolk collaborated on this project.

Time Period

The project was completed within 6 months.

Technologies

WE USED

Creation Process

Initial Assessment

Collaborated with Electrolux to evaluate their existing data infrastructure and identify critical pain points.

Design and Planning

Developed a comprehensive plan focusing on data standardization, real-time processing, and predictive maintenance.

Implementation

Deployed the centralized data platform, integrating existing systems and automating data flows.

Continuous Support

Conducted thorough testing and optimization to ensure seamless operations and high performance.

Optimizing Operations

Provided ongoing support to monitor the platform’s performance, ensuring scalability and adaptability to future technological advancements.