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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Nasir, N., Bani Hashim, A.Y., Md Fauadi, M.H.F., Ito, T. (2018). Statistical Pattern Recognition as an After Service for Statistical Process Control. In: Hassan, M. (eds) Intelligent Manufacturing & Mechatronics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-8788-2_42
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DOI: https://doi.org/10.1007/978-981-10-8788-2_42
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