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Application of probability theory in machine selection
Authors:
Do Duc Trung1
, Manh Thi Diep1
, Duong Van Duc1
, Nguyen Chi Bao1
Nguyen Hoai Son1
1School of Mechanical and Automotive Engineering, Hanoi University of Industry, Hanoi City, 100000, Vietnam
Received: 25 July 2024
Revised: 2 October 2024
Accepted: 4 November 2024
Published: 16 December 2024
Abstract:
Machine selection plays a crucial role as it impacts various aspects of
production, including technical, economic, and environmental factors.
Choosing a machine that ensures a balance among all these aspects is a
complex task, as each type of machine involves numerous parameters
that need consideration, and these parameters may sometimes conflict
with one another. This study applies the probability method to select the
optimal machine from the available options. It can be asserted that this is
the first study utilizing probability for machine selection. The application
of probability to choose the optimal machine has been carried out in five
cases to select five different types of machines across various fields. The
results of machine selection using the probability method have been
compared with those obtained using other methods. This study has
demonstrated that using probability ensures accuracy in machine
selection.
Keywords:
Probability method, MCDM, Machine selection, Spearman correlation coefficient, Weight method
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© 2024 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 9
Number 4
December 2024
Last Edition
Volume 9
Number 4
December 2024
How to Cite
D.D. Trung, M.T. Diep, D.V. Duc, N.C. Bao, N.H. Son, Application of Probability Theory in Machine Selection. Applied Engineering Letters, 9(4), 2024: 203-214.
https://doi.org/10.46793/aeletters.2024.9.4.3
More Citation Formats
Trung, D.D., Diep, M.T., Duc, D.V., Bao, N.C., & Son, N.H. (2024). Application of Probability Theory in Machine Selection. Applied Engineering Letters, 9(4), 203-214.
https://doi.org/10.46793/aeletters.2024.9.4.3
Trung, Do Duc, et al. “Application of Probability Theory in Machine Selection.“ Applied Engineering Letters, vol. 9, no. 4, 2024, pp. 203-214.
https://doi.org/10.46793/aeletters.2024.9.4.3
Trung, Do Duc, Manh Thi Diep, Duong Van Duc, Nguyen Chi Bao, Nguyen Hoai Son. 2024. “Application of Probability Theory in Machine Selection.“ Applied Engineering Letters, 9 (4): 203-214.
https://doi.org/10.46793/aeletters.2024.9.4.3
Trung, D.D., Diep, M.T., Duc, D.V., Bao, N.C. and Son, N.H. (2024). Application of Probability Theory in Machine Selection. Applied Engineering Letters, 9(4), pp. 203-214.
doi: 10.46793/aeletters.2024.9.4.3.
Using lean manufacturing to improve process efficiency in a fabrication company
Authors:
Andra Maria Popa1
, Kapil Gupta1
1University of Johannesburg, Mechanical and Industrial Engineering Technology, Johannesburg, South Africa
Received: 29 June 2024
Revised: 20 September 2024
Accepted: 26 September 2024
Published: 30 September 2024
Abstract:
This article presents a case study on improving process efficiency in a mining equipment part fabrication company. The company was facing issues concerning communication, organisation, and workflow processes. This study investigated that ineffective communication among departments was the major weakness which was responsible for the long lead or idle time. This lead time was a waste that affected the company’s productivity. A great amount of time was spent on non-value-added processes. The Kanban Centralised Communication System was implemented. Time study and value stream mapping were also used. A significant improvement in process efficiency from 34% to 85% was achieved by reducing lead time from 4200 minutes to 1680 minutes after streamlining the communication in the company using Kanban.
Keywords:
Lean manufacturing, Kanban, Optimization, Process efficiency, Production lead time, Value stream mapping
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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 4
December 2024
Last Edition
Volume 9
Number 4
December 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.