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Naslov:A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study
Avtorji:ID Trung, D. D. (Avtor)
ID Thinh, H. X. (Avtor)
Datoteke:.pdf APEM16-4_443-456.pdf (805,95 KB)
MD5: A65A4E5B02975D203ED9F75C5F34E7D9
 
URL https://apem-journal.org/Archives/2021/APEM16-4_443-456.pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis: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.
Ključne besede: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)
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:19.11.2021
Datum sprejetja članka:09.12.2021
Datum objave:18.12.2021
Založnik:Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering
Leto izida:2021
Št. strani:str. 443-456
Številčenje:Vol. 16, no. 4
PID:20.500.12556/DKUM-97418 Novo okno
UDK:621.941
COBISS.SI-ID:270530819 Novo okno
DOI:10.14743/apem2021.4.412 Novo okno
ISSN pri članku:1854-6250
Avtorske pravice: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.
Datum objave v DKUM:05.03.2026
Število ogledov:139
Število prenosov:2
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:Advances in production engineering & management
Skrajšan naslov:Adv produc engineer manag
Založnik:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:struženje, hitrost odstranjevanja materiala, površinska grobost, površinska hrapavost, entropija


Zbirka

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  1. Advances in production engineering & management

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