The study focuses the Overall Equipment Efficiency (OEE), one of the tools which is used by an organisation to measure that how efficiently the equipment is working in comparison to its installed capacity and the benchmark set by the organisation. OEE could easily be calculated by the organisation if the collected data is accurate. The data accuracy could be increased by using the Industrial Internet of Things (IIoT) tools. Operators tend to make a mistake subconsciously which results in invalid data and inaccurate solutions. To overcome the problems, it is required to use some devices to record all the data. The OEE monitored by deploying the IIoT tools gives a better result. This work shows a possible way to implement IIoT tools and a pathway towards Industry 4.0 in manufacturing plant. The primary objective and goal of this study is to increase the current state OEE to the World Class OEE as up to 85%, and after achieving it, increasing the production and sustaining it.
The analysis of the current situation and prospects for developing additional technologies for IT production presents a new development paradigm, Industry 4.0. In addition to learning the techniques to acquire the product, additional manufacturing processes may require IT development of the model. For multi-layer manufacturing techniques, angle cuts at the edges are used to provide an algorithm for dividing the product into layers of different thickness. Computer design is considered a combination of complex engineering products, complex automation technologies, and engineering product assembly. Considering the use of 5-axis manipulators in the context of complex automatic cutting, the design of the plate and layer cutting process can be used differently with the example of synthesizing complex engineering products.
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