Proceedings IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management


ICIEOM2020_FULL_0003_37412

IMPROVING THE PERFORMANCE OF THE ATTRIBUTE CHART NPX


ÁREA: 03. Quality Management

RESUMO:
This paper proposes an improvement in terms of speed of detecting anomaly/changes in the attribute ?np?_x chart employing variable sample size for monitoring the mean value of a variable (X) in a process. Sequential sample size of n_a, n_b are extracted with n_a > n_b. Each item is classified as approved or not according to a discriminant limit (z). In the end we?ll have Y_a and Y_b classified as disapproved items. Whenever Y_(a )> UCL_na or Y_(b )> UCL_nb, the process is judged to be out of control and after adjustments in the process, the inspection is always restarted with a sample size n_a. The parameters used in the construction of the ?np?_x chart with simplified variable sample size were obtained through a search for values that optimize their performance, such that can compete with the traditional X ? control chart. The performances were compared with traditional X ? control chart in terms of average run length (ARL) in scenarios of shift (?) in the process mean.

PALAVRAS-CHAVE:
control chart, variable and attribute inspection, monitoring the process mean, variable sample size, average run length



DOI: 10.14488/ijcieom2020_full_0003_37412
AUTORES:

LEANDRO ALVES DA SILVA
UNIVERSIDADE DE SÃO PAULO

LINDA LEE HO
UNIVERSIDADE DE SÃO PAULO

ROBERTO COSTA QUININO
UNIVERSIDADE FEDERAL DE MINAS GERAIS






ISSN ENEGEP: 23183349 / ISSN ICIEOM: 23178000


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