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Optimal selection for machining processes using the psi-r-piv method
Authors:
Tran Van Dua1
1School of Mechanical and Automotive Engineering, Hanoi University of Industry, Hanoi City, 100000,
Vietnam
Received: 9 July 2024
Revised: 26 August 2024
Accepted: 11 September 2024
Published: 30 September 2024
Abstract:
Machining processes are crucial in the production of various products across different industries. The accuracy, lifespan, and cost of these products significantly depend on the machining processes. This research introduces a novel method for selecting the optimal solution for machining processes. The proposed method, named PSI-R-PIV, is a hybrid of three methods preference selection index (PSI), ranking of the attributes and alternatives (R), and proximity indexed value (PIV). PSI, R, and PIV are all techniques used to rank options to determine the best among the available choices. Moreover, PSI and R have an additional function of calculating weights for the criteria. Therefore, using PSI-R-PIV to rank options for each machining process results in four sets of rankings: one by PSI, one by R, and two by PIV. In the PIV method, the weights for the criteria are calculated using the PSI and R methods. The ranking method using PIV with weights calculated by the PSI and R methods is named the PSI-PIV and R-PIV methods respectively. The four methods in the PSI-R-PIV combination include PSI, R, PSI-PIV, and R-PIV, and have been utilized to rank options in various machining processes. The results indicate that the PSI-PIV method offers high accuracy and is recommended for selecting the best option among the available choices in machining processes.
Keywords:
Multi-objective optimization, MCDM, PSI method, R method, PIV method, PSI-R-PIV method, machining processes
References:
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© 2024 by the author. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 9
Number 3
September 2024
Last Edition
Volume 9
Number 3
September 2024
How to Cite
T.V. Dua, Optimal Selection for Machining Processes Using the PSI-R-PIV Method. Applied Engineering Letters, 9(3), 2024: 132-145.
https://doi.org/10.46793/aeletters.2024.9.3.2
More Citation Formats
Dua, T.V. (2024). Optimal Selection for Machining Processes Using the PSI-R-PIV Method. Applied Engineering Letters, 9(3), 2024: 132-145.
https://doi.org/10.46793/aeletters.2024.9.3.2
Dua, Tran Van. “Optimal Selection for Machining Processes Using the PSI-R-PIV Method.“ Applied Engineering Letters, vol. 9, no. 3, 2024, pp. 132-145.
https://doi.org/10.46793/aeletters.2024.9.3.2
Dua, Tran Van, 2024. “Optimal Selection for Machining Processes Using the PSI-R-PIV Method.“ Applied Engineering Letters, 9 (3): 132-145.
https://doi.org/10.46793/aeletters.2024.9.3.2
Dua, T.V. (2024). Optimal Selection for Machining Processes Using the PSI-R-PIV Method. Applied Engineering Letters, 9(3), pp. 132-145.
doi: 10.46793/aeletters.2024.9.3.2.
Optimal selection for machining processes using the psi-r-piv method
Authors:
Tran Van Dua1
1School of Mechanical and Automotive Engineering, Hanoi University of Industry, Hanoi City, 100000,
Vietnam
Received: 9 July 2024
Revised: 26 August 2024
Accepted: 11 September 2024
Published: 30 September 2024
Abstract:
Machining processes are crucial in the production of various products across different industries. The accuracy, lifespan, and cost of these products significantly depend on the machining processes. This research introduces a novel method for selecting the optimal solution for machining processes. The proposed method, named PSI-R-PIV, is a hybrid of three methods preference selection index (PSI), ranking of the attributes and alternatives (R), and proximity indexed value (PIV). PSI, R, and PIV are all techniques used to rank options to determine the best among the available choices. Moreover, PSI and R have an additional function of calculating weights for the criteria. Therefore, using PSI-R-PIV to rank options for each machining process results in four sets of rankings: one by PSI, one by R, and two by PIV. In the PIV method, the weights for the criteria are calculated using the PSI and R methods. The ranking method using PIV with weights calculated by the PSI and R methods is named the PSI-PIV and R-PIV methods respectively. The four methods in the PSI-R-PIV combination include PSI, R, PSI-PIV, and R-PIV, and have been utilized to rank options in various machining processes. The results indicate that the PSI-PIV method offers high accuracy and is recommended for selecting the best option among the available choices in machining processes.
Keywords:
Aerodynamic Drag, Coefficient of Drag, CFD, Concept Car, NX, Ansys Fluent
References:
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© 2024 by the author. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 9
Number 3
September 2024
Last Edition
Volume 9
Number 3
September 2024
How to Cite
V.H. Quan, Research and Optimization of Sport Utility Vehicle Aerodynamic Design. Applied Engineering Letters, 9(2), 2024: 105-115.
https://doi.org/10.46793/aeletters.2024.9.2.5
More Citation Formats
Quan, V.H. (2024). Research and Optimization of Sport Utility Vehicle Aerodynamic Design. Applied Engineering Letters, 9(2), 105-115.
https://doi.org/10.46793/aeletters.2024.9.2.5
Quan, Vu Hai, “Research and Optimization of Sport Utility Vehicle Aerodynamic Design.“ Applied Engineering Letters, vol. 9, no. 2, pp. 2024, 105-115.
https://doi.org/10.46793/aeletters.2024.9.2.5
Quan, Vu Hai, 2024. “Research and Optimization of Sport Utility Vehicle Aerodynamic Design.“ Applied Engineering Letters, 9 (2):105-115.
https://doi.org/10.46793/aeletters.2024.9.2.5
Quan, V.H. (2024). Research and Optimization of Sport Utility Vehicle Aerodynamic Design. Applied Engineering Letters, 9(2), pp. 105-115.
doi: 10.46793/aeletters.2024.9.2.5.