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All Journal International Journal of Intelligent Systems and Applications in Engineering
Orak, Sezan
Advanced Technology and Science (ATScience)
Computer Science & IT

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A Novel Hybrid Multi Criteria Decision Making Model: Application to Turning Operations Sofuoglu, Mehmet Alper; Orak, Sezan
International Journal of Intelligent Systems and Applications in Engineering Vol 5, No 3 (2017)
Publisher : Advanced Technology and Science (ATScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18201/ijisae.2017531427

Abstract

Multi criteria decision making models (MCDM) are extensively used in material and process selection in engineering. In this study, a novel hybrid decision making model is developed. Best-Worst method (BWM) is hybridized with TOPSIS, Grey Relational Analysis (GRA) and Weighted Sum Approach (WSA). Developed hybrid models produce similar results in different weight value of decision makers so they are combined. The model is tested in a turning operation and an optimization study is conducted by using Taguchi experimental design. The developed model can be used by engineers and operators in manufacturing environment.
Co-Authors Sofuoglu, Mehmet Alper