skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Choosing the best machine tool in mechanical manufacturing

Eureka, Physics and Engineering (Online), 2023-03 (2), p.97-109 [Peer Reviewed Journal]

2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2461-4254 ;EISSN: 2461-4262 ;DOI: 10.21303/2461-4262.2023.002771

Full text available

Citations Cited by
  • Title:
    Choosing the best machine tool in mechanical manufacturing
  • Author: Son, Nguyen Hong ; Hieu, Tran Trung ; Thang, Nguyen Manh ; Tan, Huynh Nhu ; Can, Nguyen Tien ; Thao, Pham Thi ; Bao, Nguyen Chi
  • Subjects: Comminution ; Decision making ; Drilling machines (tools) ; Energy consumption ; Grinding machines ; Grinding mills ; Machine tools ; Manufacturing ; Methods ; Milling machines ; Multiple criteria decision making ; Multiple criterion ; Production methods
  • Is Part Of: Eureka, Physics and Engineering (Online), 2023-03 (2), p.97-109
  • Description: Machine tools are indispensable components and play an important role in mechanical manufacturing. The equipment of machine tools has a huge effect on the operational efficiency of businesses. Each machine tool type is described by many different criteria, such as cost, technological capabilities, accuracy, energy consumption, convenience in operation, safety for workers, working noise, etc. If the selection of machine is only based on one or several criteria, it will be really easy to make mistakes, which means it is not possible to choose the real best machine. A machine is considered to be the best only when it is chosen based on all of its criteria. This work is called multi-criteria decision-making (MCDM). In this study, the selection of machine tools has been done using two different multi-criteria decision-making methods, including the FUCA method (Faire Un Choix Adéquat) and the CURLI method (Collaborative Unbiased Rank List Intergration). These are two methods with very different characteristics. When using the FUCA method, it is necessary to normalize the data and determine the weights for the criteria. Meanwhile, if using the CURLI method, these two things are not necessary. The selection of these two distinct methods is intended to produce the most generalizable conclusions. Three types of machine tool, which are considered in this study, include grinding machine, drilling machine and milling machine. The number of grinders that were offered for selection was twelve, the number of drills that were surveyed in this study was thirteen, while nine were the number of milling machines that were given for selection. The objective of this study is to determine the best solution in each type of machine. The results of ranking the machines are very similar when using the two mentioned methods. Specially, in all the surveyed cases, the two methods FUCA and CURLI always find the same best alternative. Accordingly, it is possible to firmly come to a conclusion that the FUCA method and the CURLI method are equally effective in machine tool selection. In addition, this study has determined the best three machines corresponding to the three different machine types
  • Publisher: Tallinn: Scientific Route OÜ
  • Language: English
  • Identifier: ISSN: 2461-4254
    EISSN: 2461-4262
    DOI: 10.21303/2461-4262.2023.002771
  • Source: Alma/SFX Local Collection
    ProQuest Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait