Car factory workers used to receive reports with technical issues and had to search for the most optimal solutions through trial and error. Our system takes over this task: it learns the most probable solutions and automatically suggests them on a user-friendly dashboard.
New production line
One of the largest car manufacturers in the world planned to launch a production line for a new version of one of its car models.
The challenge was to efficiently train the team of electricians to handle new types of errors reported by the main computer in the car, which did not occur in older versions and were unfamiliar to the team.
Speeding up the Manual work
When new vehicles came off the assembly line, they underwent tests that revealed technical problems, such as issues with electric mirrors or engines.
The manufacturer’s internal diagnostic system recorded these problems but only provided basic information about their occurrence without offering guidance on fixing them. As a result, employees had to rely on their knowledge and intuition, leading to a time-consuming trial-and-error process.
To address this, we aimed to develop an app that logged faults and provided workers with concrete, data-driven assistance to resolve technical issues quickly and efficiently.
Dealing with sensitive data
One major challenge revolved around securing data.
We couldn’t directly access the company’s internal database, which contained vital records of technical issues. The company has implemented strong security measures to protect it.
To tackle this, the company regularly sent us partial data extracts (mock-ups) from their database. We used these extracts as the foundation for our analytical work.
While the company primarily operated within a database environment, our work centered on using CSV files, similar to spreadsheets. To streamline this process, we developed a script and an app component accessible via a specific URL.
Effective communication played a pivotal role throughout this process. We maintained constant dialogue with the company, frequently engaging in brainstorming sessions to explore various solutions and gather feedback through phone calls.
Ultimately, we delivered a fully functional solution without direct access to the company’s internal infrastructure.
Streamlining Work with Automation
We have developed a system that automatically suggests likely solutions to employees when they encounter problems.
When an error occurs, our dashboard displays details and a list of suggested solutions ranked by priority, similar to a ticketing system. Employees can choose a solution, apply it, and retest. If the test resolves the error, the system marks it as fixed and elevates the solution’s priority.
Additionally, we included a statistical panel for users to analyze errors and solutions in the database. They can manually link solutions to specific issues and adjust their priority levels.
The app generates graphical reports showing error counts over time (daily, bi-weekly, and monthly) and solution effectiveness. It empowers production line workers to address technical issues efficiently.
- Automated issue-solving system
- User-friendly dashboard
- Prioritized solutions
- Error analysis and reports
- Swift data handling
- User intervention option
