A Modelling and Analysis Approach through Robot Simulation Tools and Break-Even Analysis for an Automated CANs Packing Production

Abstract

Robotic automation has long been used to replace human workers for tasks that carry a high degree of risk, such as areas with high heat, hazardous chemical area. Not only do industrial robots protect human health, but they also improve productivity. The investment in the robotics project for production is quite high at first period. Investors will be sure that the robot will be used at full capacity. Therefore, the application of robot simulation software is presented in this paper. The metal can manufacture industry is used as a reference in this paper. Motion and Time study is used to measure the operation working flow and cycle time of current aerosol can packaging and palletizing. The proposed system which uses a robotic combined with an automated packaging machine are also established. The indicators such as productivity and utilization are simulated by the MATLAB software by using the Fuzzy Logic analysis. DELMIA is a simulation software to present a detail of design phase of the production process. While the amount of the order must be sufficient when compared to the investment. In this paper, break-even points of the robot application determined. © 2020, World Academy of Research in Science and Engineering. All rights reserved.