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International Journal of Engineering، جلد ۳۵، شماره ۱۱، صفحات ۲۰۷۷-۲۰۹۱
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
A Bi-objective Model of Research and Development in Battery Manufacturing Industry to Improve Customer Satisfaction |
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| چکیده انگلیسی مقاله |
Reviewing the efficiency of Research and Development (R&D) by giving an equal amount of importance to different R&D actions can make the measuring process too simple, which may cause an inaccurate interpretation of the R&D function and lead to an imprecise interpretation of R&D models. R&D comprises the creative work undertaken on a systematic basis to increase the stock of knowledge, including knowledge of man, culture, and society, and the use of this stock of knowledge to devise new applications. This research provides a two-phase approach to designing an R&D model in the auto battery manufacturing industry based on customer satisfaction. Due to the important role of R&D in customer satisfaction, no study has been conducted in this field and industry. In the first phase, the effective models for R&D management and the indices influencing customer satisfaction in R&D models are identified. In the second phase, the significance coefficients related to the customer satisfaction indices are obtained by using the fuzzy SWARA (Stepwise Weight Assessment Ratio Analysis) as a multi-criteria decision-making method. Furthermore, each model’s importance and final priority are calculated by the fuzzy COPRAS (Complex Proportional Assessment) method. Finally, to apply the proposed framework in the battery manufacturing industry, a bi-objective R&D model is presented. The coefficients obtained by the fuzzy COPRAS method are utilized as the input for the proposed model. Therefore, policy-makers and managers can perform their activities based on this method. The obtained results showed that the proposed framework is effective in the case under study. |
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| کلیدواژه‌های انگلیسی مقاله |
research and development,Bi-objective mathematical model,Fuzzy multi-criteria decision making,Battery industry,Uncertainty |
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| نویسندگان مقاله |
M. Latifian |
Department of Technology Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
M. A. Keramati |
Department of Technology Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
R. Tavakkoli-Moghaddam |
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
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| نشانی اینترنتی |
https://www.ije.ir/article_153035_979e670669909d3731965e434ccd33d9.pdf |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
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