A Comprehensive Solution Approach for CNC Machine Tool Selection Problem


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Şahin Y., Aydemir E.

INFORMATICA, vol.33, no.1, pp.81-108, 2022 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 33 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.15388/21-infor461
  • Journal Name: INFORMATICA
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, Compendex, INSPEC, zbMATH
  • Page Numbers: pp.81-108
  • Keywords: machine tool selection, BWM, GRA, COPRAS, MULTIMOORA, GREY RELATIONAL ANALYSIS, ANALYTICAL HIERARCHY PROCESS, DECISION-SUPPORT-SYSTEM, SUPPLIER SELECTION, INTEGRATED APPROACH, EQUIPMENT SELECTION, COPRAS METHOD, AHP, MULTIMOORA, TOPSIS

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.