Decision making in the manufacturing environment using the technique of precise order preference

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YILDIZ TECHNICAL UNIV

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info:eu-repo/semantics/openAccess

Özet

Wrong decisions in manufacturing systems can jeopardize the continuity of production and reduce productivity and efficiency. The ref ore, it is ess ential to mak e the rig ht dec isions in solving the problems encountered in manufacturing environments. In the literature, there are many methods developed to be used in solving decision-making problems. The results of different methods used in solving the same problem are different from each other. Thus, the rankings obtained by the different methods to solve the same decision-making problem in the manufacturing environment are different. Different rankings obtained for the same problem cause inconsistencies and it is not easy to determine which sort of order is better. In this study, the use ofthe technique ofprecise order preference (TPOP) is proposed to solve the decision-making problems in manufacturing systems. Three case studies a re p resented t o illustrate the use o f the TPOP method to solve decision-making problems in manufacturing systems. The c ase studies show that the TPOP method can be used easily to solve decision-making problems in manufacturing systems. Furthermore, the consistencies of the multi-criteria decision-making methods used in this study are analyzed using Spearman's correlation coefficient values. TPOP method has the highest Spearman's correlation value for three case studies.

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Anahtar Kelimeler

Data Fusion, Decision -Making, Manufacturing, TPOP

Kaynak

Sıgma Journal Of Engıneerıng And Natural Scıences-Sıgma Muhendıslık Ve Fen Bılımlerı Dergısı

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Cilt

41

Sayı

1

Künye

Altuntas, S, Dereli, T & Erdogan, Z . (FEB 2023). Decision making in the manufacturing environment using the technique of precise order preference . Sıgma Journal Of Engıneerıng And Natural Scıences-Sıgma Muhendıslık Ve Fen Bılımlerı Dergısı . (41, 1, 176-191 ss.). https://doi.org/10.14744/sigma.2023.00016 .

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