Data Envelopment Analysis-Taguchi Method for Determining Optimal Parameters of a Fish Scaling Machine
DOI: 10.14416/j.ind.tech.2023.04.001
Keywords:
Data Envelopment Analysis, Taguchi Method, Fish Scaling Machine, Multi-Response Optimization ProblemAbstract
Determining the optimal parameters of a machine is an important issue in the manufacturing process because it can help optimize the use of existing machines. This paper presents a data envelopment analysis and the Taguchi method to find the optimal parameters of a fish scaling machine to produce processed foods from fish, including dried fish and pickled fish. Three related factors, including speed, time, and capacity, were considered; each factor had three levels, and the responses were fish scaling removal efficiency and fish damage. The results showed that speed, time, and capacity were significant for both responses (P-value ≤ 0.05). Compared to the original condition, the fish damage was decreased by 31.46% and the fish scaling removal efficiency was increased by 24.47%. In addition, the proposed method had good efficacy compared to other methods in the literature. Therefore, the proposed method can be used as an effective way for solving multi-response optimization problems in real-world applications.
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