The implementation of simple additive weighting (SAW) method in decision making process for paint & coating
New product development is a changing goal that becomes increasingly complex as a result of a variety of known and unknown circumstances. Different attributes need to be considered in selecting the best product formulation such as cost, safety, health, environment, performance and many others. A sol...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
Association of American Publishers
2023
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/38588/1/The%20implementation%20of%20simple%20additive%20weighting%20%28SAW%29%20method%20in%20decision%20making%20process.pdf http://umpir.ump.edu.my/id/eprint/38588/ https://doi.org/10.21741/9781644902516-45 |
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Summary: | New product development is a changing goal that becomes increasingly complex as a result of a variety of known and unknown circumstances. Different attributes need to be considered in selecting the best product formulation such as cost, safety, health, environment, performance and many others. A solid decision at the early stage of process design are all essential aspects in building a great product. Therefore, multi-criteria decision making is an important aspect during product development process. In this work, Simple Additive Weighting (SAW) has been used for the decision-making process to identify the best paint alternatives considering three attributes: safety, health and performance. The rank from the most favorable alternative to the less favorable alternative are 2K Formulation, Gloss 1K Formulation, Matte 1K Formulation with the score 0.73, 0.69 and 0.46 respectively. A comparison between the SAW results obtained in this work with simple index-based methodology shows that the results are in agreement with each other and both methodologies are suitable to be used at the early stage of process development as the methodologies are simple. Further investigation shows that the SAW result gives more flexibility in prioritizing the attributes compared to the simple index-based methodology based on predetermined weight value. |
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