A Novel Hybrid Multi Criteria Decision Making Model: Application to Turning Operations
Journal: Intelligent Systems and Applications in Engineering (IJISAE) (Vol.5, No. 3)Publication Date: 2017-09-30
Authors : Mehmet Alper Sofuoglu; Sezan Orak;
Page : 124-131
Keywords : Multi criteria decision making; Best-Worst method; Taguchi Method; Optimization; Turning operation;
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.
Other Latest Articles
- COTTAPP: An Online University Timetable Application based on a Goal Programming Model
- Hybrid Artificial Cooperative Search – Crow Search Algorithm for Optimization of a Counter Flow Wet Cooling Tower
- Use of NLP Techniques for an Enhanced Mobile Personal Assistant: The Case of Turkish
- Simple and Novel Approach for Image Representation with Application to Face Recognition
- Development of an Automatic Grading System Based on Energy Circular Hough Transform and Causal Median Filter
Last modified: 2017-10-09 15:49:36