ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Abstract
With Chinese nuclear power restarting, supplier selection in quality-sensitive nuclear power industry has become increasingly urgent and necessary. However, the current research on supplier selection in nuclear power industry is rather few. Moreover, there is still one great problem in the present methods: the description of the information uncertainty is inadequate. This paper proposes an extended Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) under linguistic information to evaluate the uncertainty of potential supplier quantitatively and scientifically. The cloud model is used to handle imprecise numerical quantities, which can give consideration to both fuzziness and randomness of uncertain information. An empirical example of a nuclear power plant in China illustrates an application to supplier selection in nuclear power industry, which proves the effectiveness of the proposed method. Finally, a comparative analysis with fuzzy VIKOR and sensitivity analysis of results are presented to verify the correctness and robustness of the extended method respectively.
6. Conclusions
In this study, the paper proposes the extended VIKOR based on cloud modelfor supplier selection in nuclear power industry, which is the first work attempted to use this technique for supplier selection. The extended VIKOR can rank and select the best one from a set of alternatives. The cloud variable is used to define criteria, sub criteria and their uncertain weights, which can handle well imprecise information. The extended method is based on the aggregating cloud merit Q j representing the distance of an alternative to the ideal solution. When applied to a case from China,the extended method shows excellent suitability. The DMs can well understand the decisionmaking process and results through the linguistic (cloud) data. Finally, the best supplier received recognition from DMs. In conclusion, this proposed extended method can be utilized to solve the comprehensive and multi-constrained optimal selection problem with clear and effective management process. For the industry which needs to focus on some specific criteria, the two-phase extended method will show good practicability and advantage. In the practical management problems, the managers should pay more attention to the suitability of the methods and the efficiency of management process.