Open AccessCONTRIBUTION TO THE SPC IMPLEMENTATION BY SELECTING AN APPROPRIATE VARIABLE CONTROL CHART
Author(s) -
Mite Tomov,
Leonard Abazovski,
Anastasija Ignjatovska
Publication year - 2021
Publication title -
journal of production engineering
Language(s) - English
Resource type - Journals
eISSN - 2956-2252
pISSN - 1821-4932
DOI - 10.24867/jpe-2021-01-050
Subject(s) - control chart , statistical process control , statistics , chart , variable (mathematics) , extension (predicate logic) , shewhart individuals control chart , computer science , mathematics , \bar x and r chart , normal distribution , value (mathematics) , control limits , algorithm , process (computing) , ewma chart , mathematical analysis , programming language , operating system
The research in this paper contributes to the practical implementation of the Statistical Process Control (SPC), primarily in the serial production by selecting an appropriate variable control chart. The paper proposes a procedure algorithm where the deciding criteria used to select the variable control chart include: the data distribution type (whether an approximately normal distribution or not), the number of elements in the subgroup (n) for grouped data, the shift size value and the percentage difference between the shift size value and the mean value of the shifts calculated for each subgroup. The paper explains the proposed algorithm using examples with appropriately drawn control charts, which algorithm essentially represents an extension of the algorithm presented in ISO 7870-2:2013.