• Reyat

Delays in error detection in the quality control process cause wasted materials and human resources, which are very valuable for the automotive supply industry. Thanks to the Decision Support System (DSS) designed within the scope of this work, it will be possible to take the decision to stop production due to the detected errors much faster and the development of error-free human functions. The novel system will be useful to support decision-makers in the automotive supply industry. The decision made during the quality control process will be developed with the support of artificial intelligence and machine learning. The related study is aimed to develop such software to monitor and report the measurement processes of the parts produced on the machining benches, which will be commercialized in the future. As a result, advanced quality and process control, high efficiency, full traceability, minimum error, and taking measures to prevent the repetition of errors with artificial intelligence support, integration between the software used, and high reporting functionality are targeted.

"Quality Control Process Decision Support System Design in Automotive Supply Industry ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.d437-d442, July-2022, Available :http://www.jetir.org/papers/JETIR2207356.pdf

"Quality Control Process Decision Support System Design in Automotive Supply Industry ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppd437-d442, July-2022, Available at : http://www.jetir.org/papers/JETIR2207356.pdf