Author
Şahin, Ahmet, Sayımlar, Ayşe Dilara, Teksan, Zehra Melis, Albey, Erinç
Publication Date
2019
Publication Place
-
Elsevier
Subject
Markov chains, Time series, Prediction, Quality control, Industry 4.0
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
2405-8963
Record ID
0d277ab0-7233-48bd-b1cf-67cafd275e95
Library Location
Industrial Engineering
Date
2019
Sample Text
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
