The contribution of statistical processes in the control of technological processes

In this paper, a manufacturing process is analyzed, having as quality characteristic the “height of the screw head”, using analyzes and representative diagrams. Based on this case study, the way to solve these types of problems using the Quality Control Chart module of the WinQSB program, as well as the XLSTAT program is presented.

The Ranking Function for Solving the Fuzzy Hotelling T2 Test

A multivariate control chart is measured by many variables that are correlated in production, using the quality characteristics in any product. In this paper, statistical procedures were employed to find the multivariate quality control chart by utilizing fuzzy Hotelling test. The procedure utilizes the triangular membership function to treat the real data, which were collected from Baghdad Soft Drinks Company in Iraq. The quality of production was evaluated by using a new method of the ranking function.

ANALISIS PENGENDALIAN KUALITAS PRODUK KORAN PADA PT. RADAR SULTENG MEMBANGUN DI KOTA PALU

This study aims to determine how the implementation of quality control using statistical aids is useful in an effort to control the level of product damage in the company. Quality control analysis is carried out using statistical tools in the form of check sheets and p control maps. Check sheets are used to present data to make it easier to understand data for the purposes of subsequent analysis. P control maps are used to monitor damaged products whether they are still in control or not. The results of the P control chart analysis show that the process has been carried out well. This can be seen in the final product quality control chart with the final number of CL values showing 0.0049, UCL 0.0091, LCL 0.0007 with a proportion of 0.0050 defects which means that the quality control process is within controlled limits because the value of the defect proportion is smaller than the UCL value. Penelitian ini bertujuan untuk mengetahui bagaimana pelaksanaan pengendalian kualitas menggunakan alat bantu statistik bermanfaat dalam upaya mengendalikan tingkat kerusakan produk di perusahaan. Analisis pengendalian kualitas dilakukan menggunakan alat bantu statistik berupa check sheet dan peta kendali p. Check sheet digunakan untuk menyajikan data agar memudahkan dalam memahami data untuk keperluan analisis selanjutnya. Peta kendali p digunakan untuk memonitor produk yang rusak apakah masih berada dalam kendali atau tidak. Hasil analisis peta kendali p menunjukkan bahwa proses sudah terlaksana dengan baik. Hal ini dapat dilihat pada grafik kendali kualitas produk akhir dengan jumlah akhir nilai CL menunjukkan 0.0049, UCL 0.0091, LCL 0.0007 dengan proporsi cacat 0.0050 yang berarti proses pengendalian kualitas berada dalam batas terkendali karena nilai proporsi cacat lebih kecil dari nilai UCL.

Study on the Quality Control Chart for Determination of Soil Organic Carbon by Instrumental Analysis

【Objective】To ensure that each analysis step is in the monitoring state. The quality control chart is used to control the process of soil organic carbon content determination, and the reasons for drifting or exceeding the allowable value of the result data can be found out in time.【Method】The content of soil organic carbon in quality control samples was determined by instrumental analysis, and the quality control chart was drawn based on the determination data in Excel 2007, which was used for the quality control of the soil organic carbon content determination process.【Result】The control line of the mean control chart was 41.94% ~ 40.51%, and the warning limit was 41. 70% ~ 41. 74%. The control line range of the range control chart is 0.00% ~ 2.75%, and the warning limit is 0.00% ~ 2. 12%.【Conclusion】The quality control chart method is simple to operate,easy to master, and can timely find the abnormal points or abnormal trends of data, which has high application value in test analysis, and can ensure the accuracy of laboratory test results.