Title: Evaluation of industrial robot loading and unloading capability based on the combination of subjective and objective under cloud manufacturing

Authors: Yan Guo

Addresses: School of Electrical and Control Engineering, Nanjing Polytechnic Institute, Nanjing, Jiangsu, 210048, China

Abstract: The existing evaluation methods for loading and unloading capacity have the problem of low accuracy. Therefore, an evaluation method based on a combination of subjective and objective factors is proposed. Firstly, in the cloud manufacturing environment, collect data on the loading and unloading capabilities of industrial robots. Secondly, establish an evaluation system, determine the subjective weight of evaluation indices based on the improved analytic hierarchy process, and determine the objective weight of evaluation indices based on the entropy method. Finally, the evaluation indices are graded and combined with the weighted average method to obtain the evaluation results of the loading and unloading capacity of industrial robots. Experimental results have shown that the sensitivity of the evaluation results of this method always remains above 90%, and the highest consistency can reach 95%.

Keywords: subjective and objective; industrial robot; loading and unloading capacity; evaluation system; improved analytic hierarchy process; entropy method.

DOI: 10.1504/IJMTM.2025.145932

International Journal of Manufacturing Technology and Management, 2025 Vol.39 No.3/4/5, pp.319 - 333

Received: 26 Jan 2024
Accepted: 03 Jun 2024
Published online: 30 Apr 2025 *

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