Optimisation method for human resource scheduling in manufacturing industry based on decision tree algorithm

Huan Wang and Hao Wang

International Journal of Manufacturing Technology and Management, 2026, vol. 40, issue 1/2, 60-77

Abstract: To overcome the problems of low efficiency in traditional labour resource allocation and poor measurement of employee competence, this paper designs a manufacturing human resource scheduling optimisation method based on decision tree algorithm. Firstly, determine the principles of resource scheduling optimisation and obtain scheduling optimisation parameters. Then, using entropy calculation method to calculate the importance of parameters, establish a decision tree to obtain a classification scheduling optimisation rule set, and sort the parameter attributes. Finally, the Gini index is used to classify the sample parameters and construct a decision tree for resource scheduling optimisation, achieving the final scheduling optimisation. The results show that the overall allocation efficiency under this method is higher than 98%, and the competency measurement level is all A, which improves the efficiency of labour resource allocation and has a good measurement of employee competency.

Keywords: decision tree algorithm; manufacturing human resources; scheduling optimisation; employee competency; degree of collaboration; Gini index. (search for similar items in EconPapers)
Date: 2026
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