Recognition of unnatural patterns in control charts is important to get more understanding
about the process problem. Shewhart control chart can recognize shift pattern only, while the
others cannot be detected by this chart. Neural networks were proposed by many researchers to
achieve the better recognition of the patterns. A system of neural networks needs to be fitted to this
problem by realizing the behaviors of control charts. Each behavior will affect the development of
each part of the system. Some problem need to be pointed also when dealing with the patterns of
the control chart.

Creator(s)

• JUSTIN YULIUS HALIM

Contributor(s)

-

Publisher

Universitas Kristen Petra; 2003

Language

English

Category

jou – Journal

Sub Category

-

Source

Jurnal Teknik Industri. Vol. 5, No. 1, Juni 2003: 22 - 31; Justin Yulius Halim (NA00000337)

Subject(s)

• QUALITY CONTROL

File(s)

• jiunkpe-ns-jou-2003-na00000337-7054-control_chart-resource1.pdf