Case Studies Big Data-Powered Tuning for Fast and Secure Processes

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	Big Data-Powered Tuning for Fast and Secure Processes

Big Data-Powered Tuning for Fast and Secure Processes

Technology Category	Analytics & Modeling - Big Data Analytics Application Infrastructure & Middleware - Data Exchange & Integration Functional Applications - Manufacturing Execution Systems (MES)
Applicable Industries	Automotive
Applicable Functions	Procurement Quality Assurance
Use Cases	Predictive Maintenance Process Control & Optimization Supply Chain Visibility Inventory Management
Services	System Integration Data Science Services Software Design & Engineering Services
Challenge	Eissmann Automotive faced the challenge of maintaining high-quality production standards while ensuring complete traceability and efficiency in their complex production processes. The company needed to digitize its entire process chain to monitor every production step, especially for safety-related products like driver airbags. Manual data evaluation methods were prone to errors, and there was a lack of transparency and traceability in the purchasing process. Additionally, the company needed to optimize its master data management to support various business processes effectively. Read More
About Customer	Eissmann Automotive is a globally active family business founded in 1964, headquartered in Bad Urach, Germany. The company is the world’s leading manufacturer of high-quality shifter modules, trim components, and complete car interiors. With more than 5,000 employees across 13 production sites in Hungary, the Czech Republic, Slovakia, the US, Mexico, and China, Eissmann Automotive collaborates with nearly all renowned manufacturers in the automotive industry. The company combines traditional craftsmanship with state-of-the-art production processes to deliver high-quality products. Eissmann Automotive has digitized its entire process chain to ensure effective and profitable production, particularly for safety-related products such as driver airbags. Read More
Solution	Eissmann Automotive implemented Celonis Process Mining technology to monitor and optimize various business processes, including Purchase-to-Pay (P2P), Master Data Management (MDM), production, manufacturing management, and purchasing. The technology enabled the company to track and visualize the production cycle in real-time, identify bottlenecks, and uncover optimization potential. By connecting the Manufacturing Execution System (MES) to an AS-400 or SQL database, data from production processes were transmitted to the Celonis software for real-time tracking and analysis. This allowed Eissmann Automotive to achieve complete traceability, unify data evaluation, and make informed decisions to improve production efficiency. Additionally, Celonis Process Mining was used in master data management to ensure accurate and timely data availability, leading to significant process improvements and reduced throughput times. In purchasing, the technology provided transparency and traceability, enabling better supplier management and strategic purchasing decisions. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Functional Applications - Manufacturing Execution Systems (MES)

Applicable Industries

Automotive

Applicable Functions

Procurement

Quality Assurance

Use Cases

Predictive Maintenance

Process Control & Optimization

Supply Chain Visibility

Inventory Management

Services

System Integration

Data Science Services

Software Design & Engineering Services

Challenge

Eissmann Automotive faced the challenge of maintaining high-quality production standards while ensuring complete traceability and efficiency in their complex production processes. The company needed to digitize its entire process chain to monitor every production step, especially for safety-related products like driver airbags. Manual data evaluation methods were prone to errors, and there was a lack of transparency and traceability in the purchasing process. Additionally, the company needed to optimize its master data management to support various business processes effectively.

About Customer

Eissmann Automotive is a globally active family business founded in 1964, headquartered in Bad Urach, Germany. The company is the world’s leading manufacturer of high-quality shifter modules, trim components, and complete car interiors. With more than 5,000 employees across 13 production sites in Hungary, the Czech Republic, Slovakia, the US, Mexico, and China, Eissmann Automotive collaborates with nearly all renowned manufacturers in the automotive industry. The company combines traditional craftsmanship with state-of-the-art production processes to deliver high-quality products. Eissmann Automotive has digitized its entire process chain to ensure effective and profitable production, particularly for safety-related products such as driver airbags.

Solution

Eissmann Automotive implemented Celonis Process Mining technology to monitor and optimize various business processes, including Purchase-to-Pay (P2P), Master Data Management (MDM), production, manufacturing management, and purchasing. The technology enabled the company to track and visualize the production cycle in real-time, identify bottlenecks, and uncover optimization potential. By connecting the Manufacturing Execution System (MES) to an AS-400 or SQL database, data from production processes were transmitted to the Celonis software for real-time tracking and analysis. This allowed Eissmann Automotive to achieve complete traceability, unify data evaluation, and make informed decisions to improve production efficiency. Additionally, Celonis Process Mining was used in master data management to ensure accurate and timely data availability, leading to significant process improvements and reduced throughput times. In purchasing, the technology provided transparency and traceability, enabling better supplier management and strategic purchasing decisions.

Impact #1	Eissmann Automotive achieved complete traceability of safety-related production lines, ensuring compliance and quality standards.
Impact #2	The company unified data evaluation processes, reducing errors and enabling consistent analysis across all users.
Impact #3	Celonis Process Mining allowed real-time tracking and visualization of production cycles, identifying bottlenecks and optimization opportunities.

Impact #1

Eissmann Automotive achieved complete traceability of safety-related production lines, ensuring compliance and quality standards.

Impact #2

The company unified data evaluation processes, reducing errors and enabling consistent analysis across all users.

Impact #3

Celonis Process Mining allowed real-time tracking and visualization of production cycles, identifying bottlenecks and optimization opportunities.

Benefit #1	Reduced throughput times by 30% in master data management processes.
Benefit #2	Achieved complete traceability of all safety-related production lines.
Benefit #3	Enabled real-time tracking and visualization of production cycles.

Benefit #1

Reduced throughput times by 30% in master data management processes.

Benefit #2

Achieved complete traceability of all safety-related production lines.

Benefit #3

Enabled real-time tracking and visualization of production cycles.

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Overview

Big Data-Powered Tuning for Fast and Secure Processes

Operational Impact

Quantitative Benefit