Best practices guide efficient selection of industrial robots by evaluating criteria like payload capacity and cost-effectiveness, highlighting productivity enhancements.
Businesses looking to increase productivity and efficiency in their manufacturing processes must carefully consider their industrial robot choices. With so many alternatives available, selecting the best robot necessitates careful consideration of a number of variables. Examining factors including payload capacity, reach, precision, speed, and the range of programming possibilities are part of this process. Additionally, it is necessary to evaluate the cost-effectiveness of a solution and its suitability for the application in question. Manufacturers may choose industrial robots with confidence by carefully examining these factors and matching them with production objectives and integration capabilities. This guarantees that the robots selected will meet their special requirements, resulting in improved operational success. The potential for improving production processes and promoting operational excellence makes research on industrial robot selection important. Choosing the correct industrial robot is essential for maximising productivity, efficiency, and overall business performance as automation becomes more widely adopted in various industries. Manufacturers can learn more about the numerous aspects that affect the choice of a robot through systematic research, including payload capacity, reach, accuracy, speed, programming possibilities, application requirements, workspace restrictions, safety considerations, and cost-effectiveness. enterprises should strategically invest in industrial robots that meet their unique demands by being aware of the importance of these variables and taking well-informed decisions. This will improve production outcomes, lower costs, improve quality, and provide enterprises a competitive edge in the market. A methodical technique is used to find and assess the best robot for a given application as part of the industrial robot selection process. A detailed study of the application requirements, including the required activities, performance standards, and environmental considerations, usually comes first in the process. Following that, a list of potential robots is created based on how well they match the specified requirements.Each robot is evaluated based on a number of factors, including load capacity, maximum tip speed, memory capacity, manipulator reach, repeatability, and cost of purchase. The relative weight of these requirements can be determined. To rank and choose the best robot, a variety of multi-criteria decision-making (MCDM) strategies can be used, including the Weighted Sum Method (WSM), Weighted Product Model (WPM), and Analytic Hierarchy Process (AHP). To guarantee a thorough evaluation, input from experts, stakeholders, and end users is essential throughout the technique. Following examination and evaluation of the criteria, the process is completed by choosing the industrial robot that will provide the best performance and efficiency for the desired application. Alternative parameters taken as IR1,IR2,IR3,IR4,IR5,IR6,IR7. Evaluation parameters taken as Maximum tip speed, memory capacity, manipulator reach, repeatability, and cost of procurement. From the result it is seen that IR2 Stands on the top of the table by securing the 1st rank which was acquired by using TOPSIS method. The first ranking is obtained by having the highest Ci value
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