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International Journal of Supply and Operations Management، جلد ۳، شماره ۲، صفحات ۱۲۳۴-۱۲۵۲
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| عنوان فارسی |
An Augmented Common Weight Data Envelopment Analysis for Material Selection in High-tech Industries |
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| چکیده فارسی مقاله |
Material selection is a challenging issue in manufacturing processes while the inappropriate selected material may lead to fail the manufacturing process or end user experience especially in high-tech industries such as aircraft and shipping. Every material has different quantitative and qualitative criteria which should be considered simultaneously when assessing and selecting the right material. A weighted linear optimization method (WLOM) in the class of data envelopment analysis which exists in literature is adopted to address material selection problem while accounting for both qualitative and quantitative criteria. However, it is demonstrated the adopted WLOM method is not able to produce a full ranking vector for the material selection problems borrowed from the literature. Thus, an augmented common weight data envelopment analysis model (ACWDEA) is developed in this paper with the aim of eliminating deficiencies of WLOM model. The proposed ACWDEA is able to produce full ranking vector in decision making problems with less computational complexities in superior to the WLOM. Two material selection problems are solved and results are compared with WLOM and previous methods. Finally, the robustness and effectiveness of the proposed ACWDEA method are evaluated through Spearman’s correlation tests. |
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| کلیدواژه‌های فارسی مقاله |
Material selection ، Data envelopment analysis (DEA) ، Common weights ، Multi-criteria decision making (MCDM) ، |
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| عنوان انگلیسی |
An Augmented Common Weight Data Envelopment Analysis for Material Selection in High-tech Industries |
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| چکیده انگلیسی مقاله |
Material selection is a challenging issue in manufacturing processes while the inappropriate selected material may lead to fail the manufacturing process or end user experience especially in high-tech industries such as aircraft and shipping. Every material has different quantitative and qualitative criteria which should be considered simultaneously when assessing and selecting the right material. A weighted linear optimization method (WLOM) in the class of data envelopment analysis which exists in literature is adopted to address material selection problem while accounting for both qualitative and quantitative criteria. However, it is demonstrated the adopted WLOM method is not able to produce a full ranking vector for the material selection problems borrowed from the literature. Thus, an augmented common weight data envelopment analysis model (ACWDEA) is developed in this paper with the aim of eliminating deficiencies of WLOM model. The proposed ACWDEA is able to produce full ranking vector in decision making problems with less computational complexities in superior to the WLOM. Two material selection problems are solved and results are compared with WLOM and previous methods. Finally, the robustness and effectiveness of the proposed ACWDEA method are evaluated through Spearman’s correlation tests. |
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| کلیدواژه‌های انگلیسی مقاله |
Material selection , Data envelopment analysis (DEA) , Common weights , Multi-criteria decision making (MCDM) , |
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| نویسندگان مقاله |
| iman shokr
school of industrial engineering, college of engineering, university of tehran, tehran, iran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)
| mohsen sadegh amalnick
department of industrial engineering college of engineering university of tehran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)
| seyed ali torabi
department of industrial engineering college of engineering university of tehran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)
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| نشانی اینترنتی |
http://system.khu.ac.ir/ijsom/browse.php?a_code=A-10-100-79&slc_lang=en&sid=en |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
Artificial intelligence & expert system |
| نوع مقاله منتشر شده |
Research paper |
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