Evaluation of Eco Design Alternatives using Fuzzy AHP Methodology

By CY Ng and K. B. Chuah.

Published by The Design Collection

Format Price
Article: Print $US10.00
Article: Electronic $US5.00

Design for environment is becoming an important design consideration in new product development. It is due to the increasing public awareness of the need for environmental protection and pressures of regulatory requirements (Maxwell and Van der Vorst, 2003). To assess the environmental impact of a product, Life Cycle Assessment (LCA) is often used. However, an LCA study is not easy to conduct because many environmental data are not available. Also, LCA is a time-consuming study that may not be feasible for product designers as they have to deal with tight product development schedule. To assist product designers’ assessment of a product’s environmental performance against different design alternatives, this paper suggests incorporating fuzzy based Analytic Hierarchy Process (fuzzy-AHP) with streamlined LCA to evaluate design alternatives during new product development.

Keywords: Fuzzy AHP, Multi Criterion Decision Making, Design for Environment, Streamlined Life Cycle Assessment

Design Principles and Practices: An International Journal, Volume 4, Issue 1, pp.1-14. Article: Print (Spiral Bound). Article: Electronic (PDF File; 724.388KB).

Dr CY Ng

Research Student, Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong

Mr. Ng received his MSc degree in Engineering Management from City University of Hong Kong in 2006 and he is a research student from the same university. Before, he joined The Hong Kong Polytechnic University as a research staff working on Eco-design projects under joint supervisions from School of Design and Department of Industrial and Systems Engineering. He worked in manufacturing industry more than 6 years in the areas of new product development for electronic handheld devices. His research areas include new product development, design for environment, and systems modeling and optimization.

Dr. K. B. Chuah

Assistant Head and Associate Professor, Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong


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