Data Envelopment Analysis-Taguchi Method for Determining Optimal Parameters of a Fish Scaling Machine
Keywords:Data Envelopment Analysis, Taguchi Method, Fish Scaling Machine, Multi-Response Optimization Problem
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.
https://www4.fisheries.go.th/local/file_document/20211216161523_1_file.pdf. (Accessed on 25 September 2022)
A. Charnes, W.W. Cooper and E. Rhodes, Measuring the efficiency of decision-making units, European Journal of Operational Research, 1978, 2(6), 429-444.
M. Afzalinejad, Evaluating radial efficiency considering environmental factors: A generalization of classical DEA, Measurement, 2021, 179,109497.
N.Wichapa, P.Khokhajaikiat and K.Chaiphet, Aggregating the results of benevolent and aggressive models by the CRITIC method for ranking of decision-making units: A case study on seven biomass fuel briquettes generated from agricultural waste, Decision Science Letters, 2020, 10(1), 79-92.
G. Taguchi, Taguchi techniques for quality engineering, McGraw-Hill, New York, 1988.
J.P. Davim, Design of optimization of cutting parameters for turning metal matrix composites based on the orthogonal arrays, Journal of Material Processing Technology, 2003, 132(1-3), 340-344.
M.S. Chua, M. Rahman, Y.S. Wong and H.T. Loh, Determination of optimal cutting conditions using design of experiments and optimization techniques, International Journal of Machine Tools and Manufacturing, 1993, 33(2), 297-305.
M. Nalbant, H. Gökkaya and G.Sur, Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning, Journal of Material Design, 2007, 28(4), 1379-1385.
H.Yang and Y.S. Tarng, Application of the Taguchi method to optimization of submerged arc welding process, Materials and Manufacturing Process, 1998, 13(3), 455-467.
C. Ahilan; S. Kumanan and N. Sivakumaran, Application of grey based Taguchi method in multi-response optimization of turning process, Advances in Production Engineering and Management, 2010, 5(3), 171-180.
Y. Fan, B. Bai, Q. Qiao, P. Kang, Y. Zhang and J. Guo, Study on eco-efficiency of industrial parks in China based on data envelopment analysis, Journal of Environmental Management, 2017, 192(1), 107-115.
C.N. Wang, X.T. Nguyen and Y.H. Wang, Automobile industry strategic alliance partner selection: The application of a hybrid DEA and Grey theory model, Sustainability, 2016, 8(2), 173.
P. Krisomlom and N. Wichapa, Evaluating and ranking the fuel briquettes from agricultural residues using the virtual cross –efficiency method, The Journal of Industrial Technology, 2022, 18 (2), 230-246. (in Thai)
P. Nakwong, Application of taguchi principles and grey relational analysis to predict the suitability of the parameters in wire electrical discharge process, Kasem Bundit Engineering Journal, 2020, 10(3), 46-61. (in Thai)
A. Kumboon, W. Sirirak, P. Luesak and R. Sirirak, Grey relational analysis for optimal condition of biodiesel production process from fish entrails, Srinakharinwirot University Engineering Journal, 2019, 14(1), 88-98. (in Thai)
O. Jaemsang and N. Mookam, Solving problem the multiple response optimization of laser cutting for SM490 Steel using grey relational analysis, UTK Research Journal, 2018, 12(1), 132-143.
B. Şimşek and T. Uygunoğlu, Multi-response optimization of polymer blended concrete: A TOPSIS based Taguchi application, Construction and Building Materials, 2016, 117, 251-262.
H.C. Liao and Y.K. Chen, Optimizing multi‐response problem in the Taguchi method by DEA based ranking method, International Journal of Quality and Reliability Management, 2002, 19(7), 825-837.
G.B. Kamath, K. Subramaniam, S. Devesh, V. Chavan, N. Mohan, R. Bhat and H.T. Wijerathne, Multi-Response optimization of milling process parameters for aluminum-titanium diboride metal matrix composite machining using taguchi - data envelopment analysis ranking approach, Engineered Science, 2022, 18, 271-277.
M. Modi, G. Agarwal, S.D. Chaugaonkar, U. Bhatia and V. Patil, Effect of machine feed rate on Kerf-Width, material removal rate, and surface roughness in machining of Al/SiC composite material with wire electrical discharge machine, Strojnícky casopis Journal of Mechanical Engineering, 2020, 70(1), 81-88.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.ผลงานวิจัยและบทความวิชาการที่ปรากฏในวารสารนี้ เป็นความคิดเห็นอิสระของผู้เขียน ผู้เขียนจะต้องเป็นผู้รับผิดชอบต่อผลทางกฎหมายใด ๆ ที่อาจจะเกิดขึ้นจากบทความนั้น กองบรรณาธิการและคณะจัดทำวารสารฯไม่จำเป็นต้องเห็นด้วยเสมอไป