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A Comprehensive Solution Approach for CNC Machine Tool Selection Problem
Volume 33, Issue 1 (2022), pp. 81–108
Pub. online: 24 September 2021      Type: Research Article      Open accessOpen Access
Received
1 April 2021
Accepted
1 September 2021
Published
24 September 2021

Abstract

A proper CNC machine selection problem is an important issue for manufacturing companies under competitive market conditions. The selection of an improper machine tool can cause many problems such as production capabilities and productivity indicators considering time and money industrially and practically. In this paper, a comprehensive solution approach is presented for the CNC machine tool selection problem according to the determined criteria. Seven main and thirteen sub-criteria were determined for the evaluation of the seven alternatives. To purify the selection process from subjectivity, instead of a single decision-maker, the opinions of six different experts on the importance of the criteria were taken and evaluated using the Best-Worst method. According to the evaluations, the order of importance of the main criteria has been determined as cost, productivity, flexibility, and dimensions. After the weighting of the criteria, three different ranking methods (GRA, COPRAS, and MULTIMOORA) were preferred due to the high investment costs of the selected alternatives. The findings obtained by solving the problem of selection of the CNC machine are close to those obtained by past researchers. As a result, using the suggested methodology, effective alternative decision-making solutions are obtained.

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Biographies

Sahin Yusuf
https://orcid.org/0000-0002-3862-6485
ysahin@mehmetakif.edu.tr

Y. Şahin received BSc and MSc degrees in industrial engineering from Yıldız Technical University and Pamukkale University, in 2005 and 2009, respectively. He received PhD degree in business administration from Suleyman Demirel University, in 2014. He has been an associate professor of business administration at Burdur Mehmet Akif Ersoy University since 2020. His field of study includes operation research, logistics, warehouse management, vehicle routing, meta-heuristics, multicriteria decision making, and quantitative models.

Aydemir Erdal
https://orcid.org/0000-0003-4834-725X
erdalaydemir@sdu.edu.tr

E. Aydemir received BSc and MSc degrees in industrial engineering from Selcuk University and Suleyman Demirel University, in 2005 and 2009, respectively. He received PhD degree in mechanical engineering from Suleyman Demirel University, in 2013. He has been an associate professor of Department of Industrial Engineering at Suleyman Demirel University since 2020. His field of study includes meta-heuristics optimization on industrial problems, operation research, logistics, vehicle/inventory routing, grey system theory, and decision models.


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Keywords
machine tool selection BWM GRA COPRAS MULTIMOORA

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