A Key Parameters Analysis Method of the Quality Control in the Semiconductor Multiple Manufacturing Processes Based on Functional Data Analysis Method

2010 ◽  
Vol 139-141 ◽  
pp. 1660-1665
Author(s):  
Yang Liu ◽  
Zhi Sheng Zhang ◽  
Jin Fei Shi
Keyword(s):  
Quality Control ◽  
Data Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Test Method ◽  
Quality Characteristic ◽  
Manufacturing Processes ◽  
Analysis Method ◽  
Product Lines ◽  
Data Analysis Method

The quality of the semiconductor products is defined by a series of the key performance parameters which have some certain relations to the electronic test parameters generated among the multiple manufacturing processes. Aimed at the quality control problem of the multiple manufacturing processes, a FDA (functional data analysis) method has been used and got the mapping relationship between the process parameters of the product lines and the product quality characteristic. A simple Change-Point hypothesis has been tested to analyze the data curves generated by the FDA method, and the key process variables have been found. Then, the equalization between the new test result and the old one has been verified by the Kolmogorov-Smirnov 2-sample test method. Some multiple manufacturing processes test data, which was collected from a semiconductor product workshop, has been modeled and analyzed. And the analysis results can illustrate the key factors of the process quality control in the multiple manufacturing processes and approach the reduction of the test times and the improvement of the efficiency and effectiveness of the equipment.

LIBS quantitative analysis method for samples with changing temperature via functional data analysis

2021 ◽  
Author(s):  
Fu Chang ◽  
Jianhong Yang ◽  
Huili Lu ◽  
Haixia Li
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Laser Induced Breakdown Spectroscopy ◽  
Calibration Model ◽  
Analysis Method ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Quantitative Analysis Method

The quantitative analysis accuracy of laser-induced breakdown spectroscopy (LIBS) will decrease if the temperatures of testing samples are different from the temperature under which the calibration model is established. For...

scholarly journals Quality Control of Margarine Production by Applying Six Sigma Method in PT. XYZ

2020 ◽  
Vol 9 (6) ◽  
pp. 113-118
Keyword(s):  
Quality Control ◽  
Data Analysis ◽  
Qualitative Methods ◽  
Six Sigma ◽  
Analysis Method ◽  
Sigma Level ◽  
Data Analysis Method ◽  
Supporting Materials ◽  
Main Factor

This research took place in PT. XYZ, Jakarta. The purposes of this research are to know which sigma company has reached this level, the factors that can cause defective products and the best solutions to reduce the number of faulty products. This research is using qualitative methods to collect data. A data analysis method used in this research is Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control). The result from this research showed that the company's sigma level is in 3.53 for mc margarine and 3.52 for GB margarine, the main factor that causes the defective product in PT. XYZ is a misstep when adding the ingredients and the emulsifiers, which is caused by the workers (man). Recommended actions that were given by the researcher s are the implementation of the 5S system and Signboard Strategy, the which is making an indication or an explanation about the place, name of supporting materials, and the amount of supporting documents adding in the making of margarine production.

BANK SPÓŁDZIELCZY (COOPERATIVE BANK) AS A GUARANTOR OF THE STABILISATION OF THE LOCAL FINANCIAL SYSTEM1

2019 ◽  
pp. 173-179
Author(s):  
Andrzej Pawlik
Keyword(s):  
Data Analysis ◽  
Banking Sector ◽  
Statistical Data ◽  
Local Development ◽  
Banking System ◽  
Analysis Method ◽  
Statistical Data Analysis ◽  
Data Analysis Method ◽  
Strong Position ◽  
Cooperative Banks

Urgency of the research. One of the most essential sources of supporting regional and local development is the banking system. Target setting. The study presented describes cooperative banking, represented by Bank Polskiej Spółdzielczości S.A. and Bank Spółdzielczy w Kielcach. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development. Actual scientific researches and issues analysis. The foundations for the modern cooperative banking sector were laid by cooperative financial organisations functioning more than 150 years ago [Pawlik, 2017, s. 152]. Its history is connected with difficulties faced in the period of partitions, work at the foundations after the end of World War I and Poland’s regaining its national independence. Uninvestigated parts of general matters defining. At present, cooperative banking functions as a result of the adoption by the Sejm of the Republic of Poland on 7 December 2000 of the act on the functioning of cooperative banks, their associations and associating banks, which ensured new legal conditions for the functioning of the sector2. The research objective. The article formulates the hypothesis that nowadays activities of cooperative banks will contribute to regional and local development. The statement of basic materials. One of the most essential sources of supporting regional and local development is the banking system. This system can guarantee the stabilisation of the local financial system. By supporting the development of regional and local entrepreneurship through loans, investment activities of the banks and financial and investment consulting, it will determine the identity of the region concerned. Conclusions. The use of the statistical data analysis method allowed to demonstrate the strong position of cooperative banking in the market, fostering regional and local development.

PENGARUH KUALITAS LAYANAN DAN NILAI PELANGGAN TERHADAP KEPUASAN PELANGGAN

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Silviana Fadilla Prasevie
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Customer Value ◽  
Sampling Method ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Central Java ◽  
Data Analysis Method

The purpose of this study was to analize the impacts of service quality and customer value on the satisfaction of customers. Questionnaires are used to collect data from Boks Café customer in Bumiayu, Kabupaten Brebes, Central java by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that service quality and customer value positively and significant influenced the satisfaction of customers. The conclution of this study is that customer value was dominant than service quality in influencing the satisfaction of customers

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