tailieunhanh - Multi-attribute decision making green electrical discharge machining

(BQ) This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing. | Expert Systems with Applications 38 (2011) 8370–8374 Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: Multi-attribute decision making for green electrical discharge machining . Sivapirakasam a,⇑, Jose Mathew a, M. Surianarayanan b a Department of Mechanical Engineering, National Institute of Technology, Tiruchirappalli, India b CISRA, Central Leather Research Institute, Chennai, India a r t i c l e i n f o Keywords: EDM TOPSIS Green manufacturing Multi-attribute decision making A high carbon high chromium tool steel a b s t r a c t This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing. Electrical Discharge Machining (EDM), a commonly used non-traditional manufacturing process was considered in this study. A decision making model for the selection of process parameters in order to achieve green EDM was developed. An experimental investigation was carried out based on Taguchi L9 orthogonal array to analyze the sensitivity of green manufacturing attributes to the variations in process parameters such as peak current, pulse duration, dielectric level and flushing pressure. Weighing factors for the output responses were determined using triangular fuzzy numbers and the most desirable factor level combinations were selected based on TOPSIS technique. The model developed in this study can be used as a systematic framework for parameter optimization in environmentally conscious manufacturing processes. Ó 2011 Elsevier Ltd. All rights reserved. 1. Introduction Manufacturing processes generate large amounts of various solid, liquid, and gaseous wastes. Apart from the generation of waste, the manufacturing process is considered to be an energy intensive activity, which also indirectly affects the environment. Implementation of stringent government regulations and growing public awareness made