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Automotive

In the automotive market, the demand from developing countries is increasing a lot faster than that from matured developed countries. Global auto makers are expanding their presence around the world by expanding manufacturing bases to capitalize the new markets including BRIC (Brazil, Russia, India, and China). Also, as convergence with IT technologies accelerates, vehicle production has become smarter.

With the accelerated globalization of production facilities, maintaining consistent productivity and quality across their global manufacturing sites has been on top of the list of many manufacturers. The way to maintain high, consistent productivity and quality in a multitude of factories at home and across the border is to standardize operations and management systems and to build an infrastructure to spread it around the world quickly. LG CNS's Global MES has been applied to many factories all around the world to improve productivity and ensure consistent quality. It is a solution adopted and proven by the global factories of the world's auto makers. It will be the best choice for cutting-edge automobile production in this era of technology convergence.

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Key Questions for Automotive Industry

Question 1
Assembly processes at an automobile manufacturing factory involve tens of thousands of parts. Thus, one worker is often in charge of assembling many different parts. Sometimes, wrong parts are used in the assembly by mistake. Are there methods to prevent this type of human errors in place with the solution?

When workers rely on a printed manual (assembly instruction) for assembly, there is plenty of room for mistake. LG CNS solution has a feature to direct the workers to install only the necessary parts correctly. In other words, it prevents human errors of using the wrong parts by indentifying a part with manual scanner or by using automated material rack.

Question 2
Conventional MES systems have UIs focusing mainly on data. It is hard to understand how the processes flow unless you look into them more in detail. Is it possible to check the process flow or facilities status easier in real-time with the solution? Also, is it possible for an administrator or an operator to change the UI screens as needed to see only a particular process to monitor with more attention?

LGCNS ezMES displays the status information of facilities in operation and production performance information in real-time. The status information collected in real-time is classified as RUN, IDLE, or DOWN and displayed in different colors. It designates main facilities of a production line to show the status of the line. Also, it has a structure that makes it easy to add or modify the administrator screens

Question 3
Each vehicle has different production and assembly processes by model or section. So when a defect is found, it has to be managed for each model and part. Is it possible to manage defects in a production process by model and by section, not by just simply managing the number of defects or whether there is a defect or not? Also, the terms used in each section might confuse some workers, is it possible to visualize explanations of them?

Regardless of vehicle types, LG CNS ezMES is capable to capture the image of the front, side (left/right), back, and top of a vehicle and to manage these images as a basic information for inspection. At each production line, it is possible to input inspection data into the registered section on the image when a defect is found on a vehicle. No additional UI customizing is necessary. Using the provided UI screens, it is possible to easily designate and register body sections.

Question 4
When a problem occurs during the automotive manufacturing process, it will activate alarms to warn workers. Can you create a database of the alarms? Also, can you analyze the data statistically and feed the results back into the production process to improve quality?

All alarm tags generated from the on-site facilities at an automotive manufacturing factory can be entered into the database in a hierarchical structure. Major tags can also be managed separately. The alarm tags generated can be categorized, such as top 10 equipment or top 10 most frequent alarms and then can be viewed in a regular summary report.