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...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2016
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| Online Access: | 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 |
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| Summary: | 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. |
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