Reliability system engineering capability evaluation of equipment contractor based on combination weighting cloud model
- DOI
- 10.2991/978-94-6463-262-0_45How to use a DOI?
- Keywords
- reliability system engineering capability; cloud model; AHP method; entropy method
- Abstract
In order to reasonably evaluate the reliability system engineering capability of equipment contractor, a reliability system engineering capability evaluation method based on combination weighting cloud model is proposed. Firstly, a set of scientific evaluation system of reliability system engineering capability of equipment contractor is summarized. Then, an evaluation model based on combination weighting cloud model is established around the system. Then, AHP method and entropy weight method are used to calculate the weights of two layers of indicators. Based on the cloud model, the standard cloud map of the evaluation system and the comprehensive cloud map of each dimension are formed. Finally, the method is effectively applied through case analysis, which can provide reference for equipment contractor to improve equipment production efficiency.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hao Chen AU - Huachun Xiang AU - Chunfeng Ou AU - Binghai Luo AU - Zhitong Yao PY - 2023 DA - 2023/10/09 TI - Reliability system engineering capability evaluation of equipment contractor based on combination weighting cloud model BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 420 EP - 433 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_45 DO - 10.2991/978-94-6463-262-0_45 ID - Chen2023 ER -