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Autoparts

An automobile parts process that manufactures tens of thousands of parts requires higher level management for its variety and complexity more than that of other industries. Because of the nature of the parts industry, data tracking management is very important at the supply chains of automakers. In order to meet this demand, converging with IT technologies becomes the major trend in the automotive industry.

There is also the fierce competitions to achieve the traditional areas of focus such as decrease of parts weight, improvement of fuel efficiency, safety enhancement, and easy assembly. LG CNS's production and distribution management system is the optimal system that allows efficient and stable processes of various complex auto parts process data. LG CNS Smart Factory Solution is faithful to the basics, yet designed to be able to change quickly as necessary to combine new technologies in a rapidly changing market environment.

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Key Questions for Auto Parts Industry

Question 1
The data integration with automaker's data is critical in the MESs for auto parts manufacturers. An automaker's orders need to be directly connected with the production of its parts factory to allow produce-to-order in real time. What kind of features does it provide for this?

It works in tandem with the automaker's ERP and provides accurate materials procurement planning information. The MES system also provides accurate and transparent production information and order status to the administrator in real time.

Question 2
Thorough quality control is essential since defective parts are directly connected with the driver's life. How does its quality control work, and how does it provide quality related information on customer request?

LG CNS ezMES collects quality data either automatically or manually to provide process quality information. It also allows users to manage traceability and share quality information by creating data that automakers request on the web.

Question 3
In auto parts production where orders are always piled up, the production efficiency is the most important factor. Line production is highly correlated with capacity utilization of equipment. Is it possible to analyze the capacity utilization of equipment? For example, we need to analyze and address the causes of the low capacity of equipment.

LG CNS ezMES collects integrated master PLC information to monitor the operating status of each line and provides a real-time monitoring screen. It also analyzes the capacity of equipment for its performance, uptime, and quality.