Optimizing Labor Allocation based on Multiobjective Decision Making Using Improved Hungarian Algorithm

Tram B.T Tran and Hien Hoang Phuoc Nguyen
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Tram B.T Tran: Falculty of Management, Ho Chi Minh City University of Law, Ho Chi Minh City, Viet Nam
Hien Hoang Phuoc Nguyen: Falculty of Management, Ho Chi Minh City University of Law, Ho Chi Minh City, Viet Nam

Journal of Economic Statistics, 2023, vol. 1, issue 3, 16-30

Abstract: The aim of this study is to solve the problem of labor allocation in cases where the company has fewer employees than the number of existing jobs based on the evaluation of work quality according to multiple objectives. Optimizing labor allocation not only benefits the company by maximizing the use of human resources, but also saves employees' energy. In addition, employees are assigned to tasks that match their skills and qualifications, maximizing their productivity. The research results show that the multi-objective decision-making algorithm based on the Hungarian algorithm is a suitable method to help leaders of companies solve the aforementioned problem text.

Keywords: Human Resource Management; Hungarian algorithm; Multiobjective Decision Making Model; Optimization (search for similar items in EconPapers)
Date: 2023
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