Original scientific paper

https://doi.org/10.21278/TOF.474049022

A Time-Performance Improvement Model with Optimal Ergonomic Risk Level Using Genetic Algorithm

Vinoth Kumar Harikrishnan orcid.org/0000-0002-3624-2584 ; Department of Mechanical Engineering, M.Kumarasamy College of Engineering, Tamilnadu, India *
Sivakumar Annamalai ; Department of Mechanical Engineering, Excel Engineering College, Tamilnadu, India
Satheeshkumar Sampath orcid.org/0000-0002-9908-0623 ; University of Technology and Applied Sciences, Oman
Sivakumar Paramasivam ; University of Technology and Applied Sciences, Oman

* Corresponding author.

Abstract

The optimization of productivity has received significant attention in the manufacturing field. The majority of operations in the manufacturing business are still performed by workers. The analysis of work efficiency and the avoidance of ergonomic risk levels in the production line of clothing industry is critical. The correlation between a task in production and a reduction in ergonomic risks has been rarely considered in previous studies. This study proposes a time-performance improvement model with an optimal ergonomic risk level using a genetic algorithm; the model is intended to be used in the garment industry and reduce the gap for real-world applications. The results show that by distributing management training and limiting ergonomic risk factors, operator performance of selected operations can be improved, resulting in an optimum solution. The proposed model was implemented through case studies, and the operator performance improved from 73.68% to 92.76%. The significant element of this study is to use ergonomic improvement to increase operator performance through a time-performance improvement model.

Keywords

Genetic algorithm; Time-performance improvement model; Ergonomic risk level

Hrčak ID:

310066

URI

https://hrcak.srce.hr/310066

Publication date:

28.9.2023.

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