{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:56:50Z","timestamp":1754157410549,"version":"3.41.2"},"reference-count":16,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2012,10,26]],"date-time":"2012-10-26T00:00:00Z","timestamp":1351209600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,10,26]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to solve the comprehensive evaluation of the equipment maintainability level based on grey system theory, and make an analysis of the corresponding influencing factors and their prioritization process.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>Considering the diversity, uncertainty and small sample size of the influencing factors of the equipment maintainability level, a multilayer evaluation attribute system is set up, and the grey relational method is utilized to assess the equipment's comprehensive maintainability. First, the bottom layer relational coefficient and weighted relational degree are analyzed, and, by means of the focus of relational degree through the bottom layer to top layer, the general evaluation of the equipment maintainability is carried out. Second, the equipment maintainability level and its influencing factors model, i.e. GM(1,N) model are set up, and the prioritization of the influencing factors is achieved through the comparison of the size of the model drive coefficients. Finally, the practical example calculation results show that this method has not only realized a sensible and effective evaluation of the equipment maintainability level, but also provided a prioritization of the influencing factors, which helps to focus attention on the major influencing factors and make this method of significant engineering application value in the improvement of the equipment maintainability level.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The modeling of electronic equipment maintainability level and analysis of its corresponding practical example prove that grey system theory could not only perform a comprehensive evaluation of the equipment maintainability level, but also provide a quantitative analysis of its various influencing factors, whereas, other methods such as fuzzy mathematics, etc. can only make a general evaluation of the equipment maintainability level.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>This paper has realized an integral evaluation of the equipment maintainability level and has made an analysis of the prioritization of its various influencing factors. These investigation results could be introduced as a promising innovative idea in the evaluation of the equipments' other performances and the prioritization of its various corresponding influencing factors.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>Considering the diversity and uncertainty of influencing factors of the equipment maintainability level, this paper has realized a multilayer evaluation attribute system to perform a comprehensive evaluation of equipment maintainability level by means of weighted grey relational degree model. Furthermore, the prioritization of its various influencing factors is achieved based on the GM(1,N) model.<\/jats:p><\/jats:sec>","DOI":"10.1108\/20439371211273302","type":"journal-article","created":{"date-parts":[[2012,10,22]],"date-time":"2012-10-22T12:34:14Z","timestamp":1350909254000},"page":"427-436","source":"Crossref","is-referenced-by-count":4,"title":["Equipment maintainability and its influencing factors analysis based on grey system theory"],"prefix":"10.1108","volume":"2","author":[{"given":"Hong\u2010fa","family":"Ke","sequence":"first","affiliation":[]},{"given":"Hong\u2010Mei","family":"Du","sequence":"additional","affiliation":[]},{"given":"Ke","family":"He","sequence":"additional","affiliation":[]},{"given":"Xiao\u2010Hong","family":"Yu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022030720272604800_b7","unstructured":"Cao, W., Liu, W., Sun, W. and Li, S. (2008), \u201cStudy of environmental factors of crew reliability of amphibious armored vehicles\u201d, Acta Armarmentarii, Vol. 29 No. 11, pp. 1358\u201061."},{"key":"key2022030720272604800_b6","unstructured":"Dong, B., Song, B. and Liang, Q. (2011), \u201cResearch on small sample maintainability experimentation and evaluation of weapon system\u201d, Acta Armarmentarii, Vol. 32 No. 3, pp. 327\u201030."},{"key":"key2022030720272604800_b10","unstructured":"Ge, H., Zhang, Y. and Zhou, Q. (2006), \u201cSimulation and analysis of the distribution of submarine\u2010launched missile carrier sinkage trajector\u201d, Acta Armarmentarii, Vol. 27 No. 3, pp. 571\u20106."},{"key":"key2022030720272604800_b1","unstructured":"GJB2072\u20101994 (1995), Maintainability Test and Evaluation."},{"key":"key2022030720272604800_b15","unstructured":"Ke, H. and Liu, S. (2009), \u201cSimilarity to ideal grey relational projection method for multiple criteria decision\u2010making\u201d, Proceedings of 2009 IEEE International Conference on Grey Systems and Intelligent Services, Nanjing, China, 10\u201012 November, pp. 1008\u201012."},{"key":"key2022030720272604800_b5","unstructured":"Li, F., Yang, Y. and Yang, J. (2008), \u201cIntegrative evaluation on parameters of maintainability design of mechanical equipment\u201d, Journal of Engineering Design, Vol. 15 No. 1, pp. 11\u201015."},{"key":"key2022030720272604800_b2","unstructured":"Liu, F. and Shang, C. (2010), \u201cComprehensive maintainability evaluation based on modified fuzzy AHP theory\u201d, Electronic Product Reliability and Environmental Testing, Vol. 28 No. 3, pp. 15\u201018."},{"key":"key2022030720272604800_b12","unstructured":"Shao, G., Liu, Y. and He, J. (2010a), \u201cQuantificational description, simulative construction and evaluating the complexity in battlefield electromagnetic environment\u201d, Electronic Warfare, Vol. 1, pp. 1\u20104, 25."},{"key":"key2022030720272604800_b13","unstructured":"Shao, G., Liu, Y. and He, J. et al., (2007), \u201cQuantificational description, simulative construction and evaluating the complexity in battlefield electromagnetic environment\u201d, Military Operations Research and Systems Engineering, Vol. 21 No. 4, pp. 17\u201020."},{"key":"key2022030720272604800_b14","unstructured":"Shao, T., Hu, Y., Shi, L. and Jiao, J. (2010b), \u201cMethods for quantitative evaluation of battlefield electromagnetic environment complexity\u201d, Electronics Optics & Control, Vol. 17 No. 1, pp. 81\u20104."},{"key":"key2022030720272604800_b3","unstructured":"Tao, F., Gan, M. and Yu, Y. (1999), \u201cMechanical system and equipment maintainability modeling\u201d, China Mechanical Engineering, Vol. 10 No. 12, pp. 1404\u20106."},{"key":"key2022030720272604800_b11","unstructured":"Wu, J., Su, D. and Li, H. (2008), \u201cThe effect of electromagnetic environment of high\u2010voltage transmission line and ubstations on electronic equipment test\u201d, Proceedings of 8th International Symposium on Antennas, Propagation and EM Theory, Institute of Electrical and Electronics Engineers, Kunming, China, pp. 1216\u201019."},{"key":"key2022030720272604800_b4","unstructured":"Yang, H., Jin, J. and He, C. (2008), \u201cMaintainability synthesis evaluation based on BP neural network\u201d, Ship and Ocean Engineering, Vol. 37 No. 4, pp. 116\u201018."},{"key":"key2022030720272604800_b8","unstructured":"Yu, H., Rui, X., Wang, G. and Liu, Z. (2010), \u201cAnalysis of factors influencing firing precision of \u2018Metal Storm\u2019 weapons\u201d, Journal of Nanjing Univerity of Science and Technology (\u2009Natural Science), Vol. 34 No. 4, pp. 524\u20107."},{"key":"key2022030720272604800_b9","unstructured":"Zhang, F., Liao, Z., Liu, G. and Chen, Y. (2008), \u201cStudy of influence factors on launching performance of rarefaction wave gun\u201d, Acta Armarmentarii, Vol. 29 No. 1, pp. 23\u20107."},{"key":"key2022030720272604800_frd1","unstructured":"Liu, S. and Lin, Y. 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