Investigating the Performance of Internet of Things in a Traditional Anodizing Industry for improved Quality and Delivery of Products using Response Surface Methodology

The Anodizing industry is an industry that has not much attention among researchers when it comes to modernizing working standards in the environment. There are many investigations regarding the anodizing process. But when it comes to quality and productivity of the industry, as per our knowledge so far no investigation exists that suggests a better productivity or product quality of anodizing industry total outcome. An existing investigation in the field suggested the application of Automation in the anodizing production line could improve the anodizing process parameters as well as Quality & productivity of the plant outcome. However, the observed parameters of the products and the plant are not up to the mark since the plant is using traditional work culture and Legacy machines even though the specific Anodizing line is Automated. And hence the present investigation proposes the retrofitting of Internet of Things (IoT) devices to improve the Anodizing plant parameters to a considerable rate. In-order to achieve this goal the possibilities for the implementation of IoT devices in the Anodizing plant was well analyzed. Considering the key benefits of the IoT implementation in the Anodizing production line a Response Surface Methodology (RSM) model was developed and the efficiency of the proposed model was analyzed. Results show that the proposed model outperformed the existing Automation enabled Anodizing plant performance in-terms of Surface Finish (Ra), Film Thickness (Ft) and Cycle Time Duration (Dc) by 105.89%, 118.014 % and 93.40% respectively.