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Using and Molding of Agricultural Machinery Safety Management Evaluation based on Fuzzy Analytic Hierarchy Process
DOI: https://doi.org/10.62381/I245107
Author(s)
Dengfeng Hua
Affiliation(s)
China Agricultural Mechanization Center, Ministry of Agriculture and Rural Affairs, Beijing, China
Abstract
As the level of agricultural mechanization in China continues to improve, the issue of agricultural machinery safety management is becoming increasingly prominent. Strengthening the safety management of agricultural machinery is of great significance for safeguarding the safety of farmers' life and property and the healthy development of agricultural mechanization. This paper combines the hierarchical analysis method (AHP) and the fuzzy evaluation method, and establishes the evaluation index system of agricultural machinery safety management by selecting 18 indexes from five aspects: industry management, basic situation of drivers, management of agricultural machinery, insurance coverage of agricultural machinery, and operating environment. The fuzzy comprehensive evaluation method was used to establish the evaluation model of agricultural machinery safety management, and the evaluation method was applied to Liaoning Province. The results show that the safety management level of agricultural machinery in Liaoning Province is excellent.
Keywords
Agricultural Machinery; Safety Management; Evaluation Index; Hierarchical Analysis; Fuzzy Comprehensive Evaluation
References
[1]Liang Xianghui. Analysis of Countermeasures to Strengthen Safety Production Management of Agricultural Machinery. Southern Agricultural Machinery, 2023, 54 (23): 192-194. [2]Luo Tianyuan, Liu Lingling. Analysis of the positive effect of mutual safety insurance for agricultural machinery--Taking the example of mutual safety insurance for agricultural machinery in Shaanxi Province. China Agricultural Machinery Supervision, 2023, (04): 3-5+9. [3]Cui, H., 2018. Research on safety management of agricultural machinery. Era of agricultural machinery 45, 56-57. [4]Zheng, D., 2015. Outstanding problems and suggestions and measures in current agricultural machinery safety supervision. Chinese Agricultural Mechanization 69-71. [5]TIAN Cuiping, CHAI Congjie, SUN Qinggang. Importance and current situation analysis of agricultural machinery safety inspection. China Agricultural Machinery Supervision, 2022, (12): 12-13. [6]Zhang, Jian, Liu, X., Zhang, Jingdong, 2018. Research on safety risk evaluation for agricultural machinery based on set pair theory. Journal of Chinese Agricultural Mechanization 39, 90-93. [7]Dong, F., lv, B., Mao, H., 2014. Research on risk assessment of agricultural machinery. Journal of Agricultural Mechanization Research 36, 7-10. [8]Caputo, A.C., Pelagagge, P.M., Salini, P., 2013. AHP-based methodology for selecting safety devices of industrial machinery. Safety Science 53, 202-218. [9]Lima Junior, F.R., Osiro, L., Carpinetti, L.C.R., 2014. A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing 21, 194-209. [10]Shaw, K., Shankar, R., Yadav, S.S., Thakur, L.S., 2012. Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems with Applications 39, 8182-8192. [11]Li, P., Li, X., Zhang, L., Dai, L., 2019. A validation research on fuzzy logic-AHP-based assessment method of operator’s situation awareness reliability. Safety Science 119, 344-352. [12]Skorupski, J., 2016. The simulation-fuzzy method of assessing the risk of air traffic accidents using the fuzzy risk matrix. Safety Science 88, 76-87. [13]Zhang, H., Guo, X., Liu, Y., Ran, G., Wang, G., Wang, H., 2016. Evaluation of cluster development level of agriculture products processing industrial park. Transactions of the Chinese Society of Agricultural Engineering 320-324. [14]Shen, J., Wang, Y., 2019. Investigation of evaluation index system for agricultural informatization level in China. Transactions of the Chinese Society of Agricultural Engineering 35, 162-172. [15]Zheng, G., Zhu, N., Tian, Z., Chen, Y., Sun, B., 2012. Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments. Safety Science 50, 228-239. [16]Sun, W., 2020. Agricultural machinery management problems and safety production strategy. Agricultural Science-Technology and Information 65-66. [17]Ma, Z., Guo, Z., 2016. Thinking about the measures to reduce the hidden danger of agricultural machinery. Hebei Agricultural Machinery 17. [18]Sun, M., 2020. How to improve the management level of agricultural machinery. Use and maintenance of agricultural machinery 57. Wang, J., Li, M., Liu, Y., Zhang, H., Zou, W., Cheng, L., 2014. Safety assessment of shipping routes in the South China Sea based on the fuzzy analytic hierarchy process. Safety Science 62, 46-57.
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