Development Of A New Environmental Framework For Manual Wheelchair Using Analytical Hierarchy Process (AHP) In Product Development

Development of a new environmental framework for manual wheelchair in the product growth process is an important decision due to the increasing awareness of the need for environmental protection, industries today focus to minimize the environmental impact of their products. The aim of the project is...

詳細記述

書誌詳細
第一著者: Ibrahim, Abdiwahab Abshir
フォーマット: 学位論文
言語:英語
英語
出版事項: 2016
主題:
オンライン・アクセス:http://eprints.utem.edu.my/id/eprint/20762/1/Development%20Of%20A%20New%20Environmental%20Framework%20For%20Manual%20Wheelchair%20Using%20Analytical%20Hierarchy%20Process%20%28Ahp%29%20In%20Product%20Development%20-%20Abdiwahab%20Abshir%20Ibrahim%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/20762/2/Development%20Of%20A%20New%20Environmental%20Framework%20For%20Manual%20Wheelchair%20Using%20Analytical%20Hierarchy%20Process%20%28Ahp%29%20In%20Product%20Development%20-%20Abdiwahab%20Abshir%20Ibrahim.pdf
その他の書誌記述
要約:Development of a new environmental framework for manual wheelchair in the product growth process is an important decision due to the increasing awareness of the need for environmental protection, industries today focus to minimize the environmental impact of their products. The aim of the project is to minimize the environmental impact of wheelchair and to develop a new environmental framework using AHP at the selected designs. To evaluate and develop a new framework it should be considered at the existing product design phase which contains several judgement making tasks. This project presents the use of analytical hierarchy process (AHP) through using expert choice software to determine the most suitable design for the environment. A three (3) manual wheelchair designs was chosen as a case study. The results show that design 1 (D1) is the most appropriate design because it has the highest percentage of priority value of 45.9% compared to the other designs. The final judgement of the designs is gained by performing two (2) scenarios of the sensitivity analysis and the analysis showed that it is proven that design 1 (D1) is the most optimum design.