Machine Selection Application in a Hard Chrome Plating Industry Using Fuzzy SWARA and Fuzzy ARAS Methods

Abstract

Machines are one of the most important production elements used by companies in the production phase. Sudden deterioration in machinery creates a process that can lead to a production halt and therefore a delay in orders. For this reason, enterprises decide to replace their old machines with newer technological machines. This replacement decision is not easy as it includes many criteria and there are many alternative machines on the market. From this point of view, in this study, a reallife application of a company's machinery purchase was made with fuzzy SWARA and fuzzy ARAS methods based on multi-criteria decision-making method. Criterion weights were determined by the fuzzy SWARA method. In the evaluation of alternative machines, the fuzzy ARAS method was taken into consideration. In the study, the criteria determined by the company manager and his team in line with the company needs were taken into consideration. Afterward, four machines were determined among the most suitable machines in the market and frequently used. Finally, calculations were made to find the machine that best meets the criteria required by the company among these machines. As a result of the calculations, the machine needed by the company was decided and the results were interpreted.