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Please use this identifier to cite or link to this item: http://hdl.handle.net/2031/4519

Title: Environmental performance assessment model for mobile phone : fuzzy logic approach
Other Titles: Liu dong dian hua dui huan jing ying xiang ping gu mo xing : mo hu luo ji fang fa
流動電話對環境影響評估模型 : 模糊邏輯方法
Authors: Li, Chik Kuen (李植權)
Department: Dept. of Manufacturing Engineering and Engineering Management
Degree: Master of Philosophy
Issue Date: 2004
Publisher: City University of Hong Kong
Subjects: Cellular telephones -- Environmental aspects
Cellular telephones -- Health aspects
Fuzzy logic
Notes: CityU Call Number: TK6570.M6 L45 2004
Includes bibliographical references (leaves 122-135)
Thesis (M.Phil.)--City University of Hong Kong, 2004
xi, 179 leaves : ill. ; 30 cm.
Type: Thesis
Abstract: Mobile phones provide extensive communication advantages to human life, however, they also pose serious adverse effects to the ecosystem and human health. The Environmental Protection Department of Hong Kong (EPD) began to pay attention to the environmental impact of mobile phone usage by launching a mobile phone battery recycling scheme in 2002. However, there is still an urgent need to take care of the environmental impact associated with the mobile phone product life cycle. As a result, this research develops an impact assessment model to quantify the environmental damages caused by a mobile phone’s life cycle in Hong Kong. The comprehensive impact assessment model developed in this research is based on the Life Cycle Assessment (LCA) concept, and its boundary is defined by four life cycle stages: Material Selection, Distribution, Operation and Disposition. The scope of impact analysis at each life cycle stage includes Resource Depletion, Eco-Health Damage, and Human Health Damage. In total, nine impact categories are defined under these three damage groups for environmental performance assessment. Fuzzy logic is used to handle the imprecise nature of ecological impact and to provide a simple way to quantify the environmental impact through human expert reasoning. A Fuzzy Inference System (FIS) is developed so that the environmental impact of the stressors can be quantified at each life cycle stage. The hierarchical structure of the scoring system in the proposed model has the advantage of single and multiscoring systems which present both the results as an Environmental Impact Score (EI Score) or several individual impact scores. The EI Score is a measure of the overall environmental performance of a mobile phone, and it helps to identify which mobile phone creates the most environmental impact throughout the product life cycle. A decision algorithm is also presented to illustrate how the assessment model can be used as a tool to assist the decision-making process in the product development. A detailed case study is used to demonstrate the applicability and to evaluate the effectiveness of the presented model. Impact assessments have been performed at different life cycle stages of a selected mobile phone, and the areas that have environmental impact were identified. This case study is treated as a preliminary study on the environmental effects of a mobile phone in Hong Kong, and it illustrates strategies to reduce the environmental impact by suggesting proper remedial actions. The impact assessment model developed provides a scientific way to evaluate the environmental performance of mobile phone. The model helps mobile phone manufacturers to design an “environmentally friendly” mobile phone by assessing the environmental impact associated with different designs. It also assists environmental agencies to determine the level of environmental impact created by different mobile phones that available in the market. As compared to the traditional impact assessment approaches, the simplicity of the computation in the FIS increases the applicability of the presented model by reducing the necessity of professional environmental knowledge in the assessment.
Online Catalog Link: http://lib.cityu.edu.hk/record=b1871309
Appears in Collections:MEEM - Master of Philosophy

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