Computer-aided machine-tool selection based on a Fuzzy-AHP approach
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Development of a decision support system for machining center selection
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments
Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments
Machine Tools Selection Technology for Networked Manufacturing
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 01
A hybrid approach to concept selection through fuzzy analytic network process
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Selection of a machine tool for FMS using ELECTRE III: a case study
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Application of fuzzy analytic network process for supplier selection in a manufacturing organisation
Expert Systems with Applications: An International Journal
An intelligent approach to machine tool selection through fuzzy analytic network process
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
A fuzzy ANP model for supplier selection as applied to IC packaging
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
Hi-index | 12.05 |
Global economic competition has spurred the manufacturing sector to improve and invest in modern equipment to satisfy the needs of the market. In particular, machine tool selection is the most important problem; it plays a primary role in the improvement of productivity and flexibility in the manufacturing environment and involves the imprecise, vague and uncertain information. This paper presents the hybrid approach of the fuzzy ANP (Analytic Network Process) and COPRAS-G (COmplex PRoportional ASsessment of alternatives with Grey relations) for fuzzy multi-attribute decision-making in evaluating machine tools with consideration of the interactions of the attributes. The fuzzy ANP is used to handle the imprecise, vague and uncertain information from expert judgments and model the interaction, feedback relationships and interdependence among the attributes to determine the weights of the attributes. COPRAS-G is employed to present the preference ratio of the alternatives in interval values with respect to each attribute and calculate the weighted priorities of the machine alternatives. Alternatives are ranked in ascending order by priority. As a demonstration of the proposed model, a numerical example is implemented based on the collected data and the literature. The result is then compared with the rankings provided by other methods such as TOPSIS-G, SAW-G and GRA. Moreover, a sensitivity analysis is conducted to verify the robustness of the ranking. The result highlights that the hybrid approach of the fuzzy ANP and COPRAS-G is a highly flexible tool and reaches an effective decision in machine tool selection.