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2018 | OriginalPaper | Chapter

Statistical Pattern Recognition as an After Service for Statistical Process Control

Authors : Norazlin Nasir, A. Y. Bani Hashim, Muhammad Hafidz Fazli Md Fauadi, Teruaki Ito

Published in: Intelligent Manufacturing & Mechatronics

Publisher: Springer Singapore

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Abstract

Since internet of things has brings a lot of benefits in various fields, the benefits in manufacturing is widely explored. While Industry 4.0 offers an integration concepts between current manufacturing devices with IoT. In I4, all the resources are connected, and information exchange became ease in shortest period. In any manufacturing application, statistical process control seems fit to be implemented because it shows the process trend as a tool. In this paper, consideration of the boundaries condition as SPC features is explained. Based on the five un behavioral trend conditions, engineers are able to make a process change and minimize the risk of losses and accidents. Eventually, the concept of SPR as an after Service is proposed, consisted of the combination of the element of IoT and SPC boundaries condition. The SPR as an after Service is proposed to be used for traceability tools in network environment.

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Metadata
Title
Statistical Pattern Recognition as an After Service for Statistical Process Control
Authors
Norazlin Nasir
A. Y. Bani Hashim
Muhammad Hafidz Fazli Md Fauadi
Teruaki Ito
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-8788-2_42

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