Title: Application of neural network on environmental impact assessment tools

Authors: Jianzhi Li, Zhenhua Wu, Hong-Chao Zhang

Addresses: Manufacturing Engineering Department, University of Texas-Pan American, TX, 78539, USA. ' Manufacturing Engineering Department, University of Texas-Pan American, TX, 78539, USA. ' Industrial Engineering Department, Texas Tech University, TX, 79409, USA

Abstract: Intended to provide an applicable evaluation methodology for product environmental impacts, this paper presents a survey of the current Environment Impact Assessment (EIA) methodologies. As a proposed remedy for existing tools, an Artificial Neural Network (ANN) approach is developed to estimate the missing data. To provide updated Life Cycle Assessment (LCA) information for major components used in the electronic industry, a detailed analysis of two recent delivered computer systems are provided in the paper using the ANN approach. This paper also discusses incorporation of recycling scenarios in the LCA for electronic products.

Keywords: life cycle analysis; LCA; environmental impact assessment; artificial neural networks; ANN; product analysis; sustainable manufacturing; electronic components; computer systems; recycling.

DOI: 10.1504/IJSM.2008.019229

International Journal of Sustainable Manufacturing, 2008 Vol.1 No.1/2, pp.100 - 121

Available online: 02 Jul 2008 *

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