A Markovian approach for time series prediction for quality control

Name: A Markovian approach for time series prediction for quality control
Author: Şahin, Ahmet, Sayımlar, Ayşe Dilara, Teksan, Zehra Melis, Albey, Erinç

İsim	A Markovian approach for time series prediction for quality control
Yazar	Şahin, Ahmet, Sayımlar, Ayşe Dilara, Teksan, Zehra Melis, Albey, Erinç
Basım Tarihi:	2019
Basım Yeri	- Elsevier
Konu	Markov chains, Time series, Prediction, Quality control, Industry 4.0
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2405-8963
Kayıt Numarası	0d277ab0-7233-48bd-b1cf-67cafd275e95
Lokasyon	Industrial Engineering
Tarih	2019
Örnek Metin	In this work we aim to predict quality levels of incoming batches of a selected product type to a white goods manufacturer from a third party supplier. We apply a Markov Model that captures the quality level of the incoming batch in order to predict the quality status of the future arrivals. The ultimate aim is to generate reliable predictions for the future incoming batches, so that the manufacturing company could warn its supplier if the predictions indicate a significant deterioration in the quality. Applied methodology is compared to several benchmark approaches and its superior performance is shown using a benchmark dataset from the literature and the dataset provided by the manufacturing company. Proposed algorithm performs better compared to benchmarks in detecting the instances with quality level falling outside the tolerances in the validation data; and proves itself as a promising approach for the company.
DOI	10.1016/j.ifacol.2019.11.480
Cilt	52

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A Markovian approach for time series prediction for quality control

Yazar Şahin, Ahmet, Sayımlar, Ayşe Dilara, Teksan, Zehra Melis, Albey, Erinç

Basım Tarihi 2019

Basım Yeri - Elsevier

Konu Markov chains, Time series, Prediction, Quality control, Industry 4.0

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2405-8963

Kayıt Numarası 0d277ab0-7233-48bd-b1cf-67cafd275e95

Lokasyon Industrial Engineering

Tarih 2019

Örnek Metin In this work we aim to predict quality levels of incoming batches of a selected product type to a white goods manufacturer from a third party supplier. We apply a Markov Model that captures the quality level of the incoming batch in order to predict the quality status of the future arrivals. The ultimate aim is to generate reliable predictions for the future incoming batches, so that the manufacturing company could warn its supplier if the predictions indicate a significant deterioration in the quality. Applied methodology is compared to several benchmark approaches and its superior performance is shown using a benchmark dataset from the literature and the dataset provided by the manufacturing company. Proposed algorithm performs better compared to benchmarks in detecting the instances with quality level falling outside the tolerances in the validation data; and proves itself as a promising approach for the company.

DOI 10.1016/j.ifacol.2019.11.480

Cilt 52