Iot- A Technology Transfer in Manufacturing Future Products
Jasmine K S1, Thejas T S2
1Dr. Jasmine K S*, Department of MCA, RV College of Engineering®, Bengaluru, India.
2Mr. Thejas T S, Department of Mechanical Engineering, RV College of Engineering®, Bengaluru, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1415-1419 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6383018520/2020©BEIESP | DOI: 10.35940/ijrte.E6383.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Manufacturing field is facing more challenges than ever before, so it needs technology transfer and advancement which can ensure its relevance in a competitive global context and can promote continual improvement. Proactive action becomes an automatic process in the context of business sustainability. One of the most recent changes in the manufacturing field is the paradigm shift from traditional mechanical systems to software-driven ones. In this context, Internet of Things (IoT) provides plenty of opportunities to pioneer new products and influence interconnected systems with immeasurable scalability. IoT-driven intelligent devices that are capable of communicating with the manufacturer once they have left the production line is very much required in the present scenario. As a result, manufacturing engineers have to take into considerations of various aspects when designing their products such as software-driven controls, remote product assessment and updates, automatic product improvements which needs multitude of sensors. So Engineers are uniquely positioned to steer the course of innovation by embracing IoT, which will leads to the development of smart products. The paper provides an insight into how these possibilities can be achieved in the manufacturing field so that it will enable the organizations to demonstrate themselves in leveraging the maximum potential and developing the smarts products in terms of significant investments in monitoring, measuring and analyzing product performance, earnings stability, research culture, industry engagement and accountability to society in meeting their needs. This paper proposes a new model based solution in the area of manufacturing industry by making use of ability of IIoT and cloud computing services.
Keywords: Smart Products, Industrial IoT, Scalable IoT.
Scope of the Article: Machine Learning.