By Team SOLVEDIO │ Updated November 25, 2024
Client
The Multinational Automobile Manufacturer
Executive Summary
In response to traditional inefficiencies in problem-solving, a leading global automotive manufacturer integrated Solvedio's digital solution into their production processes. Prior methods involving manual data handling were slow and error-prone, affecting overall efficiency. Through a strategic implementation from April to December 2023, Solvedio's real-time monitoring and root cause analysis tools were adopted.
This transition enabled rapid, accurate problem resolution, resulting in notable improvements in efficiency, product quality, and problem tracking. The company's Head of Production highlighted the significant impact, noting the revolutionized production process and enhanced product quality.
About
Our client is a prestigious global automotive company renowned for producing luxury vehicles, including sports cars and off-road models. The company operates multiple production plants worldwide with a strong emphasis on innovative design, superior quality, and advanced technology. They are also dedicated to advancing electrification and new technological developments.
"Solving problems more quickly and accurately has revolutionized our production process. Solvedio's digital solution has not only improved our efficiency but also enhanced our product quality. The strategic implementation of this technology has been a game-changer for us."
The Problem
Traditional problem-solving inefficiencies in the automotive industry have recently seen rapid digital advancements, yet many manufacturers still rely on outdated problem-solving methods. This traditional approach involves manual data collection, analysis, and decision-making, which can be slow and prone to errors, affecting overall efficiency and responsiveness.
Key Collaboration Milestones:
- 1
Initial Assessment - 4/2023: Evaluation of existing problem-solving processes and identifying inefficiencies.
- 2
Solution Proposal - 5/2023: Introduction of Solvedio's digital problem-solving solution.
- 3
Implementation Phase - 7/2023 - 8/2023: Integration of Solvedio technology, including real-time monitoring, data collection, and root cause analysis tools.
- 4
Optimization and Training - 9/2023 - 11/2023: Fine-tuning the system and training staff.
- 5
Full Deployment - 12/2023: System-wide adoption and transition to continuous improvement.
Our Solution
By implementing Solvedio, the company significantly enhanced its problem-solving process. Solvedio’s features, such as automatic issue recognition and classification, real-time status monitoring, and integrated root cause analysis tools, enabled problem resolution to be 30% faster and 25% more accurate.
This digitalization led to:
+ 20%
improvement in overall
production efficiency
+ 15%
increase in product
quality
+ 40%
reduction in time spent
on problem tracking and resolution
The solution consisted of six key functional elements
1. Automated Problem Recognition and Classification
- Automatic identification and classification of production issues
- Fast and accurate problem recognition through data-driven algorithms
- Immediate categorization for quicker resolution
2. Real-Time Monitoring Dashboard
- Intuitive dashboard offering real-time visibility of production processes
- Instant identification of production issues using dynamic alerts
- Personalized views for department-specific monitoring and focused analysis
3. Root Cause Analysis Tools
- Integrated tools like 5 Whys and Fishbone for structured problem investigation
- Direct in-system root cause identification, ensuring comprehensive issue resolution
- Simplified data collection for precise analysis and decision-making
4. Data Collection and Analysis
- Automatic, real-time data collection to support issue identification and resolution
- In-depth data analysis capabilities to uncover patterns and trends
- Seamless integration with production records for data accuracy and consistency
5. Task Management
- Centralized task management system for efficient problem-solving workflows
- Easy creation, prioritization, and delegation of problem-solving tasks
- Full integration with problem recognition tools and overall system goals
6. Reporting and Predictive Capabilities
- Customizable reporting functions for tailored analysis of production performance
- Machine learning-powered predictive models to anticipate future production issues
- Data-driven insights supporting continuous process improvement and strategic planning