Applying multi-criteria decision-making methods for cutting oil selection

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.275717

Keywords:

cutting oil, MCDM methods, CURLI method, PIV method, weight method

Abstract

Many machining processes would not be possible without the presence of cutting oils. There are many diffe­rent types of cutting oils on the market today, each with different properties. The difference of oils is manifested in many parameters such as viscosity, combustion temperature, recyclability, pollution tendency, stability, price, etc. Choosing the best oil is a difficult and tedious task for customers. In this work, we present the results of a study on the selection of cutting oil using multi­criteria decision­making (MCDM) methods. The selection of the best oil is made on the basis of ranking of seven different types. Two MCDM methods used in this study are Proximity Indexed Value (PIV) and Collaborative Unbiased Rank List Integration (CURLI). This two methods have been used to rank cutting oils. These are two methods with completely different characteristics. When using the PIV method, it is necessary to standardize the data and determine the weights for the criteria. Meanwhile, if using the CURLI method, these two tasks are not needed. In addition, three different weight methods were also used to calculate the weights for the criteria including EQUAL, Rank Order Centroid weight (ROC weight) and Rank Sum weight (RS weight). These three methods have been used to determine the weights for the criteria of cutting oil. The PIV method was used three times corresponding to three different weight methods. The results showed that out of the four ranking results (three using the PIV method and one using the CURLI method), the same best oil was unani­mously identified. It is recommended that the CURLI method should be used if weighting of criteria and data normalization are not desired

Author Biographies

Hoang Xuan Thinh, Hanoi University of Industry

Doctor of Mechanical Engineering, Vice Dean of Mechanical Engineering

Faculty of Mechanical Engineering

Nguyen Trong Mai, Hanoi University of Industry

Doctor of Mechanical Engineering, Lecturer

Faculty of Mechanical Engineering

Nguyen Truong Giang, Hanoi University of Industry

Master of Mechanical Engineering, Lecturer

Center for Mechanical Engineering

Vu Van Khiem, Hanoi University of Industry

Master of Mechanical Engineering, Lecturer

Center for Mechanical Engineering

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Applying multi-criteria decision-making methods for cutting oil selection

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Published

2023-06-30

How to Cite

Thinh, H. X., Mai, N. T., Giang, N. T., & Khiem, V. V. (2023). Applying multi-criteria decision-making methods for cutting oil selection. Eastern-European Journal of Enterprise Technologies, 3(1 (123), 52–58. https://doi.org/10.15587/1729-4061.2023.275717

Issue

Vol. 3 No. 1 (123) (2023): Engineering technological systems

Section

Engineering technological systems

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Copyright (c) 2023 Hoang Xuan Thinh, Nguyen Trong Mai, Nguyen Truong Giang, Vu Van Khiem

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