Problems of the Time Deterministic in Applications for Process Control from the Cloud

Makarov, Oleg; Langmann, Reinhard; Nesteresko, S.; Frank, Barbara

doi:10.3991/ijoe.v10i4.3832

Cited by 6 publications

(1 citation statement)

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“…Industry 4.0 revolution comprises a high-resolution, adaptive production control (APC) such as Smart Control that can be achieved through development of Cyber-Physical production control systems [10]. In addition, Smart control is mainly executed to physically manage various Smart machines or tools through a cloud enabled platform [31]. End-users (Smart customers are able to get a smart product, which are tailored-made according to their personalised needs.…”

Section: Intelligent Quality Control Systemsmentioning

confidence: 99%

Smart Manufacturing: Quality Control Perspectives

Agolla¹

2021

Quality Control - Intelligent Manufacturing, Robust Design and Charts

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Quality Control (QC) is a guideline or set of procedures intended to ensure that a manufactured product or performed service adheres to a defined set of quality criteria or meets the requirements of the client or customer. Smart manufacturing is where the work is interfaced work pieces and associated tools that include logistics operations, Cyber Physical Systems, Artificial Intelligence, and Big Data Analytic tools. These form the norm of manufacturing operations to generate large amounts of data, which are used for analysis and prediction. Therefore, help to optimise the quality of manufacturing operations and manufactured products. The change in technologies have, however, altered the traditional way of manufacturing process as well as QC systems. Therefore, to address the challenge of data reliability, the sensors, actuators and instruments used at various levels of integration in the manufacturing process often operating under adverse physical conditions need to provide adequate levels of data accuracy and precision. Methodologically, the Chapter followed critical literature review on QC concepts and Industry 4.0 revolution, thereby culminating into conceptual framework of QC in Smart Manufacturing, which is the main contribution of this Chapter.

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Section: Intelligent Quality Control Systemsmentioning

confidence: 99%