Artificial Intelligence Based Green Manufacturability Quantification of a Unit Production Process

Environmental awareness and sustainability among consumer is increasing since past decade. These consumer activity forces the industry to maintain the environment, and it began to trouble them to balance the monetary and economy against the social and environment factors while manufacturing. Thus, researchers are encouraged to develop new techniques to tackle these issues. The suggested technique should optimally maintain the environments issue and provide reasonable profit. Hence in this work, it aims to motivate unit manufacturing process to boost green manufacturing by effectively minimizing the resource. Surface grinding is one of the real time experimentations conducted in most of the industries. By penetrating greenness in the surface grinding, the environment hazard can effectively reduce. Thus in this paper, the unit process is used in the surface grinding, to effectively use the lubricant. An artificial intelligent optimization technique is proposed to control the various factors, which influence the greenness of the unit process in surface grinding. In the proposed system, the artificial bee colony algorithm is proposed, and is evaluated using numerical simulation and the performance is analysed to calculate the green index.