Abstract: Most of the manufacturing industries perform batch-wise production where different jobs undergo various machining operations. More number of the machining operations at different machining stations requires scheduling in order to minimize the cycle, delay time and energy consumption. There are various solutions available with different combinations, such kind of problems are termed as “NP Hard Problems”. Various algorithms and software’s are available for solving this type of problems in manufacturing industries, but it provides solution by using traditional algorithms and are expensive too for medium-scale industries. Therefore, there is need of technique which will provide global, unique and feasible solution for complex scheduling problems. Solutions provided by the algorithms are automatically generated, they can be executed by the automatic system like Robotics. Robotics System itself consist of multiple path planning combinations.This project focuses on the automatic material handling and scheduling of machining processes using a six-degree-of-freedom (6-DOF) Kawasaki robot in an industrial setup with two CNC machines. The robot loads a job into the first CNC machine, flips the job, places it into the second CNC machine, and finally unloads it into the finished pallet. The proposed system improves workflow efficiency, minimizes delays, and ensures consistent job handling accuracy. This also enhances worker safety by minimizing human interaction in hazardous areas. The case study conducted in the industrial setup demonstrates the effectiveness of robotic automation in material handling and scheduling, making it adaptable for various manufacturing applications while offering a cost-effective solution for reducing labor expenses. The use of robots for loading and unloading jobs in industries offers significant advantages in terms of reducing labor costs and increasing productivity. By automating the loading and unloading process, industries can reduce dependency on manual labor, minimizing the risk of human errors, inconsistencies and workplace injuries associated with repetitive tasks. Robots ensure precise and accurate placement of jobs, preventing misalignment issues that could lead to defects or machine downtime. Additionally, robotic systems can work in hazardous environments, reducing the need for human workers to be exposed to high temperatures, heavy loads, or sharp tools. With improved efficiency and reduced labor costs, industries experience higher throughput, lower operational expenses, and increased overall profitability. The reliability and speed of robotic loading and unloading contribute to a streamlined manufacturing process, making automation an essential investment for modern industries aiming for higher productivity and consistent quality.
Keywords: CNC machine, Material Handling, labor expenses, productivity.
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DOI:
10.17148/IJARCCE.2025.14203
