Remanufacturing Feasibility of Bike Suspension by Hybrid  TOPSIS - Taguchi Optimization

Vishal Fegade; Kshitij Shrivastava; A. V. Kale; R. L. Shrivastava

Authors

Vishal Fegade Mechanical Engineering, SVKMs NMIMS, MPSTME, Shirpur, Maharashtra, India
Kshitij Shrivastava Ocean Engineering and Naval Architecture, Indian Institute of Technology Kharagpur, Kharagpur, India
A. V. Kale Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India
R. L. Shrivastava Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India

Keywords:

Remanufacturing, used bike suspension, Fuzzy TOPSIS, Desirability function

Abstract

Remanufacturing is a need for the industry to overcome the scarcity of raw material. Although it is economical and creates less environmental impact, we need to have more strategies for the selection of components form scrap and improving the basic design of components thereby more scrap can be converted into remanufactured products. This paper focuses on the selection of bike suspensions for remanufacturing and also finds the influential parameters to improve the quality of scrap. For selection and identification, we taken bike suspensions of Honda twister from different regions and applied hybrid fuzzy TOPSIS and Taguchi optimization. Remanufacturing of used bike suspension will be effective since more than 50% of the used bike suspensions are selected for remanufacturing by Taguchi analysis. The study reveals that Seal internal diameter of bike suspension is the most influential parameter and the focus of Seal internal diameter design will increase the number of bike suspension selected for remanufacturing.