Optimization Of Injection Molding Parameters Using The Taguchi Method To Minimize Product Defective And Monitoring The Quality Of Plastic Production Using Laney P' Chart At CV XYZ

Panduwinata, Kristina (2023) Optimization Of Injection Molding Parameters Using The Taguchi Method To Minimize Product Defective And Monitoring The Quality Of Plastic Production Using Laney P' Chart At CV XYZ. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

CV XYZ is a company that produces household goods from plastic using injection molding machine. Injection molding is a process of producing products by forming plastic material into the final product through injection. This process involves heating and pumping liquid plastic into a mold, where its cools and hardens according to the mold shape. As a production company, the quality control of the product is important because it will help the company to manage the quality of the product to fulfill the standard. However, CV XYZ starts the statistical quality control process in this early year. Therefore, the process of quality control in the company has not been maximized. The production failure often occurs in the printed products. The failure is largely caused by machine due to the machine setting. It is according to the production operator every shift who adjust the machine and they do the initial trial at the beginning of the new production until a suitable product is found. Suitable products are obtained by changing several factors that affect the production results of injection molding machines such as barrel temperature (A), holding pressure (B), injection pressure (C) and injection velocity (D). It is makes many defective product at the beginning of the production. Beside that, sometimes products that do not meet the standard also sold to the consumer. Thus, this research aims to optimize the level of factors affecting the injection molding process. The Taguchi method for discreate data is utilized because the response variable consist of number of nondefective. This research also monitoring the proportion of defective product using Laney P’ Chart. Since the number of plastic production resulted in every shift are a big sample. So the Laney P’Chart is choosen rather than P Chart. Additionally, the analysis using S/N ratio and direct data revealed different factors that influenced the product outcome, with factor B being significant in S/N ratio analysis and factors A, B, and D are significant in direct data analysis. The optimum condition was identified as ABCD, with specific at levels 1 for factor A, level 1 for factor B, level 1 for factor C, and level 2 for factor D. The Laney P' Control Chart analysis revealed improvements in controlling the process. The research findings indicate that applying the optimum level factors can significantly reduced the proportion of defective products.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Laney P` Chart, defective, Injection molding, Taguchi, Optimation.
Subjects:	T Technology > TS Manufactures > TS156 Quality Control. QFD. Taguchi methods (Quality control)
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Kristina Panduwinata
Date Deposited:	07 Dec 2023 06:20
Last Modified:	07 Dec 2023 06:20
URI:	http://repository.its.ac.id/id/eprint/104484

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