Loading

A Fuzzy-TOPSIS Method for Optimizing of Forging Problems
Dhiraj Kumar1, Sharifuddin Mondal2

1Dhiraj Kumar, Research Scholar, Department of Mechanical Engineering, NIT Patna, Mahendru, Patna, Bihar.
2Sharifuddin Mondal, Asst. Professor, Department of Mechanical Engineering, NIT Patna, Mahendru, Patna, Bihar.

Manuscript received on September 18, 2019. | Revised Manuscript received on 23 September, 2019. | Manuscript published on October 10, 2019. | PP: 3306-3314 | Volume-8 Issue-12, October 2019. | Retrieval Number: L28111081219/2019©BEIESP | DOI: 10.35940/ijitee.L2811.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Forging industry consists of simple procedural steps, but a lots of problems are associated with the forging industries. This paper describes the major problems in forging industries along with their cause and effect that reduce the extent of profits. An attempt has also been made to apply Fuzzy multi-criteria combined with TOPSIS method in ranking the problems on the basis of various parameters. This approach improves the quality of manufacturing for forging goods, material availability & its price, fuel supply, technology upgradation, material wastage etc. The proposed approach is very useful due to its capability of providing optimal results with incomplete significant information. The study is the first of its type in forging industries. A numerical model is considered to indicate the effectiveness of the present technique.
Keywords: Fuzzy Logic, TOPSIS, Optimization Technique, Forging Industry
Scope of the Article: Fuzzy Logic