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Journal of Materials Processing Technology is a peer-reviewed scientific journal covering research on all aspects of processing techniques used in manufacturing components from various materials. It is published by Elsevier and the editor-in-chief is J. Cao ( Northwestern University ).
The three quartiles, resulting in four data divisions, are as follows: The first quartile (Q 1) is defined as the 25th percentile where lowest 25% data is below this point. It is also known as the lower quartile. The second quartile (Q 2) is the median of a data set; thus 50% of the data lies below this point.
This is an accepted version of this page This is the latest accepted revision, reviewed on 31 December 2024. Manufacturing processes This section does not cite any sources.
Control charts are graphical plots used in production control to determine whether quality and manufacturing processes are being controlled under stable conditions. (ISO 7870-1) [1] The hourly status is arranged on the graph, and the occurrence of abnormalities is judged based on the presence of data that differs from the conventional trend or deviates from the control limit line.
Journal of Manufacturing and Materials Processing: 2017 2504-4494 Journal of Marine Science and Engineering: 2013 2077-1312 Journal of Molecular Pathology: 2020 2673-5261 Journal of Nanotheranostics: 2020 2624-845X Journal of Nuclear Engineering: 2020 2673-4362 Journal of Open Innovation: Technology, Market, and Complexity: Economics 2015 2199-8531
Top quartile citation count (TQCC) – reflecting the number of citations accrued by the paper that resides at the top quartile (the 75th percentile) of a journal's articles when sorted by citation counts; for example, when a journal published 100 papers, the 25th most-cited paper's citation count is the TQCC. [5]
Third quartile (Q 3 or 75th percentile): also known as the upper quartile q n (0.75), it is the median of the upper half of the dataset. [ 7 ] In addition to the minimum and maximum values used to construct a box-plot, another important element that can also be employed to obtain a box-plot is the interquartile range (IQR), as denoted below:
In statistical process control (SPC), the ¯ and R chart is a type of scheme, popularly known as control chart, used to monitor the mean and range of a normally distributed variables simultaneously, when samples are collected at regular intervals from a business or industrial process. [1]