A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study
A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study
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DOI：
10.14743/apem2021.4.412
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发表时间：
2021-12-01
影响因子：
3.6
通讯作者：
Thinh, H. X.
中科院分区：
文献类型：
--
作者：
Trung, D. D.;Thinh, H. X.
多准则决策是重要的，它影响到机械加工过程的效率以及一般操作。它被理解为在许多备选方案中确定最佳备选方案。在这项研究中，多标准决策研究的结果。在此基础上，进行了16次车削加工试验。实验的输入参数是切削速度、进给速度和切削深度。进行实验后，测定了表面粗糙度和材料去除率（MRR）。为了确定哪个实验同时保证最小的表面粗糙度和最大的MRR，四个多标准决策方法，包括MAIR-CA，EAMR，MARCOS，和TOPSIS。两种方法熵和MEREC被用来确定权重的标准。将四种多准则决策方法与两种权重确定方法相结合，得到了八种排序方案，这是本研究的新奇。一个令人惊讶的结果是，所有八个解决方案都确定了相同的最佳实验。根据所得结果，建议本研究中使用的多准则决策方法和加权方法也可用于其他情况下，其他过程的多准则决策。
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 MAIR-CA, 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.