Application of integrated fuzzy-AHP for design evaluation in product development
The evaluation process of conceptual design alternatives in a new product development environment is a critical point for companies who operate in fast-growing markets. Various methods exist that are able to successfully carry out this difficult and time-consuming process. One of these methods, the...
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| Format: | Undergraduates Project Papers |
| Language: | English English English |
| Published: |
2016
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| Online Access: | http://umpir.ump.edu.my/id/eprint/13093/ http://umpir.ump.edu.my/id/eprint/13093/ http://umpir.ump.edu.my/id/eprint/13093/1/FKP%20-%20NURUL%20ARIFAH%20CHE%20ROPA%20-%20CD%208349.pdf http://umpir.ump.edu.my/id/eprint/13093/2/FKP%20-%20NURUL%20ARIFAH%20CHE%20ROPA%20-%20CD%208349%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/13093/3/FKP%20-%20NURUL%20ARIFAH%20CHE%20ROPA%20-%20CD%208349%20-%20CHAP%203.pdf |
| Summary: | The evaluation process of conceptual design alternatives in a new product development environment is a critical point for companies who operate in fast-growing markets. Various methods exist that are able to successfully carry out this difficult and time-consuming process. One of these methods, the Analytical Hierarchy Process (AHP) that been widely used to solve multiple-criteria decision making problems in both academic research and in
industrial practice. However, due to vagueness and uncertainty in the decision-maker’s judgment, pair-wise comparison with Integrated Fuzzy-AHP may be able to accurately capture the decision-maker’s judgment. Therefore, fuzzy is introduced into the pair-wise
comparison in the AHP to compensate for this deficiency in the integrated Fuzzy-AHP. This is referred to as integrated fuzzy-AHP. In this paper, a fuzzy-AHP method is used to reduce a set of conceptual design alternatives by eliminating those whose scores are smaller than a
predetermined constant value obtained under certain circumstances. Then, simulation analysis is integrated with the fuzzy-AHP method. Finally, the results of integrated fuzzy- AHP are used for Preference Ratio analysis to reach to the final alternative. |
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