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Title:A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study
Authors:ID Trung, D. D. (Author)
ID Thinh, H. X. (Author)
Files:.pdf APEM16-4_443-456.pdf (805,95 KB)
MD5: A65A4E5B02975D203ED9F75C5F34E7D9
 
URL https://apem-journal.org/Archives/2021/APEM16-4_443-456.pdf
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Multi-criteria decision-making is important and it affects the efficiency of a mechanical processing process as well as an operation in general. It is understood as determining the best alternative among many alternatives. In this study, the results of a multi-criteria decision-making study are presented. In which, sixteen experiments on turning process were carried out. The input parameters of the experiments are the cutting speed, the feed speed, and the depth of cut. After conducting the experiments, the surface roughness and the material removal rate (MRR) were determined. To determine which experiment guarantees the minimum surface roughness and maximum MRR simultaneously, four multi-criteria decision-making methods including the MAIRCA, the EAMR, the MARCOS, and the TOPSIS were used. Two methods the Entropy and the MEREC were used to determine the weights for the criteria. The combination of four multi-criteria making decision methods with two determination methods of the weights has created eight ranking solutions for the experiments, which is the novelty of this study. An amazing result was obtained that all eight solutions all determined the same best experiment. From the obtained results, a recommendation was proposed that the multi-criteria making decision methods and the weighting methods using in this study can also be used for multi-criteria making decision in other cases, other processes.
Keywords:turning, material removal rate (MRR), surface roughness, multi-criteria decision-making (MCDM), Multi Attributive Ideal-Real Comparative Analysis (MAIRCA), Evaluation by an Area-based Method of Ranking (EAMR), Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), entropy, Method based on the Removal Effects of Criteria (MEREC)
Publication status:Published
Publication version:Version of Record
Submitted for review:19.11.2021
Article acceptance date:09.12.2021
Publication date:18.12.2021
Publisher:Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering
Year of publishing:2021
Number of pages:str. 443-456
Numbering:Vol. 16, no. 4
PID:20.500.12556/DKUM-97418 New window
UDC:621.941
ISSN on article:1854-6250
COBISS.SI-ID:270530819 New window
DOI:10.14743/apem2021.4.412 New window
Copyright:Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Publication date in DKUM:05.03.2026
Views:138
Downloads:2
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Categories:Misc.
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Record is a part of a journal

Title:Advances in production engineering & management
Shortened title:Adv produc engineer manag
Publisher:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:struženje, hitrost odstranjevanja materiala, površinska grobost, površinska hrapavost, entropija


Collection

This document is a part of these collections:
  1. Advances in production engineering & management

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