Life cycle assessment of microwave tube furnace using analytic hierarchy process and fuzzy comprehensive evaluation

Abstract

Life cycle assessment of designing and manufacturing products has received significant attention in the recent years. Analytic hierarchy process and fuzzy comprehensive evaluation approach on life cycle assessment of microwave tube furnace is used in this study. The effects of the evaluation aspects, such as environmental impact, resource consumption, economy, capability and function, on the mathematical model were systematically investigated. The process involves constructing hierarchical structure, comparing pairwise comparison matrices, establishing assessment criteria, setting weight matrix and fuzzy assessment matrix, and then calculating green degree of microwave tube furnace by fuzzy mathematical method and statistical technique. The results show that microwave tube furnace has a good green degree, which can fulfil the need for green manufacture, especially in energy consumption, processing time and environmental protection. The presented methodology is an easy and practical way to provide a mechanism for improving product quality with low resource consumption and less environment pollution. . His researches focus on microwave heating technology. He has published more than ten papers in many journals and conference proceeding.J.H. Peng received his PhD from Kunming University of Science and Technology, China, in 1992 and has a wide range of research experience and interest in microwave heating and unconventional metallurgy technology. He is currently the Director of the

Sustainable development for zero-wastewater-discharge reproduction planning under quantitative and qualitative information

“…This study proposes a fuzzy simulation method to analyze the effect of different alternatives on ZWD system’s performance and decision (Azadeh, Seifoory and Abbasi, 2010; Azadeh, Mohammad Ebrahim and Eivazy, 2010). This study developes a detected system through the fuzzy comprehensive evaluation (Li et al , 2017; Chen et al , 2011; Tseng, Tan, Chiu, Chien and Kuo, 2018). In addition, prior studies using the Taguchi method are applied; Dhas and Satheesh (2012) discussed the multi-response optimization of weld parameters using the grey-based Taguchi method.…”