Application of TOPSIS an PIV methods for Multi - Criteria Decision Making in hard turning process

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.

Download Full-text

A combination method for multi-criteria decision making problem in turning process

Manufacturing Review ◽

10.1051/mfreview/2021024 ◽

2021 ◽

Vol 8 ◽

pp. 26

Author(s):

Do Duc Trung

Keyword(s):

Decision Making ◽

Removal Rate ◽

Entropy Method ◽

Combination Method ◽

Depth Of Cut ◽

Multi Criteria Decision Making ◽

Turning Process ◽

Nose Radius ◽

Cutting Force Components ◽

Force Components

This paper presents a multi-criteria decision making (MCDM) for a turning process. An experimental process was performed according to the sequence of a matrix using the Taguchi method with nine experiments. The parameters including workpiece speed, feed rate, depth of cut, and nose radius were selected as the input variables. At each experiment, three cutting force components that were measured in the three directions X, Y, and Z, were Fx, Fy, and Fz, respectively. The value of Material Removal Rate (MRR) was also calculated at each experiment. The main purpose of this study is determination of an experiment in total performed experiments simultaneously ensuring the minimum Fx, Fy, and Fz and the maximum MRR. The Entropy method was applied to determine the weights for parameters Fx, Fx, Fx, and MRR. Eight MCDM methods were applied for multi-criteria decision making, this has not been performed in any studies. The implementation steps of each method were also presented in this paper. Seven ones of these eight methods determined the best experiment in total nine performed experiments. A new multi-criteria decision-making method as well as orientation for the further works were also proposed in this study.

Download Full-text

Framework to Analyze Construction Labor Productivity Using Fuzzy Data Clustering and Multi-Criteria Decision-Making

Construction Research Congress 2020 ◽

10.1061/9780784482865.006 ◽

2020 ◽

Author(s):

Matin Kazerooni ◽

Mohammad Raoufi ◽

Aminah Robinson Fayek

Keyword(s):

Decision Making ◽

Labor Productivity ◽

Data Clustering ◽

Fuzzy Data ◽

Multi Criteria Decision Making

Download Full-text

Perancangan aplikasi multi criteria decision making dalam penerimaan beasiswa kepada dosen studi lanjut STMIK Balikpapan menggunakan metode SAW

Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) ◽

10.33173/jsikti.10 ◽

2018 ◽

Vol 1 (1) ◽

pp. 35-42

Author(s):

Muslimin B ◽

Sumardi Sumardi

Keyword(s):

Decision Making ◽

Learning Process ◽

Teaching And Learning ◽

Teaching Assistants ◽

Multi Criteria Decision Making ◽

Scholarship Recipients ◽

The Matrix ◽

Application Decision ◽

High Degree ◽

New Student

Interests and number of STMIK Balikpapan new student enrollments are increasing every year. The balance of the ratio of lecturers to students is one of the most important components in improving the quality and teaching and learning process of a university. Avoiding shortages in the number of lecturers can be realized by providing scholarship programs to alumni and teaching assistants. This study aims to build a multi criteria decision making application that can assist the Head of HRD in the process of receiving scholarships to advanced and effective study lecturers. The multi criteria decision making application developed in this study uses the SAW method. The implementation of the SAW method includes the process of evaluating the weighting of criteria, evaluating alternative weights, the matrix process, the results of decision making preferences, resulting in the weighting and ranking of each alternative candidate for the scholarship recipient. The results of the evaluation of multi-criteria application decision making in the study are expected to produce modeling with a high degree of accuracy. The results of the analysis carried out can provide alternative recommendations for prospective scholarship recipients to advanced study lecturers in STMIK Balikpapan.

Download Full-text

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

Journal of Economics and Development ◽

10.33301/2019.jed.spi.09 ◽

2019 ◽

pp. 125-133

Author(s):

Duong Truong Thi Thuy ◽

Anh Pham Thi Hoang

Keyword(s):

Decision Making ◽

Commercial Banks ◽

Decision Model ◽

Business Models ◽

Multi Criteria Decision Making ◽

Ideal Solution ◽

Topsis Method ◽

Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

Download Full-text