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Statistical Process Control for the Number of Defectives with Limited Memory

A limited memory influence diagram model is utilized for statistical process control in a system where qualitative data on the number of defectives in a sample is available in each period of a finite production horizon. Based on the number of defective units observed, a decision is made on whether to stop the process and repair an assignable cause of variation. The model has no requirement to maintain the history of sample results and corrective actions taken in previous sampling periods. Despite the limited memory of process history, the nature of the decision rule and solution algorithm result in quality-related costs that are comparable to those of existing methods for Bayesian quality control with information on number of defectives. When sampling interval and sample size can be selected as design parameters for a system with a fixed time between scheduled maintenance, the limited memory influence diagram model can be constructed to provide similar costs with reduced computational requirement as compared with a partially observed Markov decision process technique.

Ketersediaan

Informasi Detail

Judul Seri

DECISION ANALYSIS; Vol.18 No.3 September 2021

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p. 203 - 217

Bahasa

English

ISBN/ISSN

-

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

QUALITY CONTROL
SAMPLING
QUALITATIVE DATA
STATISTICAL
LIMITED MEMORY
CONTROL CHART
ATTRIBUTE DATA
INFLUENCE DIAGRAM

Info Detail Spesifik

https://pubsonline.informs.org/doi/10.1287/deca.2021.0431

Pernyataan Tanggungjawab

Barry R. Cobb

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