In order to clarify the change of risk probability in the safety risk management of fruit and vegetable cold chain logistics, the risk coupling analysis was carried out on five factors which affect the safety of fruit and vegetable cold chain logistics, including human, management, equipment, technology and environment. The coupling of risk factors was divided into three combination types: single factor, double factors and multiple factors. Then the probability of different risk-coupling form was calculated, and an N-K model was built to quantify the coupling risk value. The results showed that: with the increase of risk coupling factors, the coupling risk value increased; the 3-factor coupling lead to the increase of the possibility of unsafe events in the system in local coupling; the coupling of management-equipment factors and other factors had a greater risk of causing unsafe incidents than the coupling of other two types of factors and other factors. Therefore, it is suggested that in risk management of fruit and vegetable cold chain logistics, the independent role of key factors such as management, equipment and technology should be controlled and the coupling form with strong coupling should be avoided as far as possible, and risk control should be carried out from the source.
王 佳，郑天玉，刘 喜，张巧巧，赵春筝
. Security Risks Coupling of Fruit and Vegetable Cold Chain Logistics Based on N-K Model[J]. Transport Research, 2021
, 7(2)
: 11
-19
.
DOI: 10.16503/j.cnki.2095-9931.2021.02.002
[1] 王晶，刘昊天，赵然. 基于食品安全的生鲜食品冷链运营优化研究[J]. 系统工程理论与实践，2018，38（1）：122-134.
[2] 王毓彬，雷怀英. 基于AnyLogic的果蔬冷链系统配送中心物流仿真[J]. 东南大学学报（哲学社会科学版），2018，20（S2）：20-22，35.
[3] ABAD E, PALACIO F, NUIN M, et al. RFID smart tag for traceability and cold chain monitoring of foods: demonstration in an intercontinental fresh fish logistic chain[J]. Journal of Food Engineering, 2009, 93(4): 394-399.
[4] METZGER C, THIESSE F, STANLEY G, et al. The impact of false-negative reads on the performance of RFID-based shelf inventory control policies[J]. Computers and Operations Research, 2013, 40(7): 1864-1873.
[5] BAKKER M, RIEZEBOS J, TEUNTER R H. Review of inventory systems with deterioration since 2001[J]. European Journal of Operational Research, 2012, 211(2): 275-284．
[6] RAUT R D, GARDAS B B, NARWANE V S, et al. Improvement in the food losses in fruits and vegetable supply chain: a perspective of cold third-party logistics approach[J]. Operations Research Perspectives, 2019, 6:100117
[7] MAGALH?ES VSM, FERREIRA LMDF, SILVA C. Using a methodological approach to model causes of food loss and waste in fruit and vegetable supply chains[J]. Journal of Cleaner Production, 2021, 283: 124574.
[8] BHASKAR B G, RAKESH D R, BALKRISHNA N. Evaluating critical causal factors for post-harvest losses (PHL) in the fruit and vegetables supply chain in India using the DEMATEL approach[J]. Journal of Cleaner Production, 2018, 199: 47-61.
[9] 杨芳，戴恩勇，李金亮. 基于Multi-Agent的果蔬冷链物流系统协同优化[J]. 统计与决策，2016（18）：178-181.
[10] 胡滢. 基于绿色供应链的鲜蔬鲜果冷链物流效率分析[J]. 中国农业资源与区划，2015，36（5）：172-176.
[11] 杨扬，袁媛，李杰梅. 基于HACCP的生鲜农产品国际冷链物流质量控制体系研究——以云南省蔬菜出口泰国为例[J]. 北京交通大学学报（社会科学版），2016，15（2）：103-108.
[12] 戎陆庆，黄佩华. 基于灰色理论的广西果蔬冷链物流需求及其影响因素预测研究[J]. 中国农业资源与区划，2017，38（12）：227-234.
[13] 王想. 面向水果冷链物流品质感知的气体传感技术与建模方法[D]. 北京：中国农业大学，2018.
[14] 林嘉豪，李克武，张兵. 基于风险耦合理论的航空装备本质安全管理研究[J]. 中国安全生产科学技术，2011，7（9）：75-79.
[15] ZHANG J J, XU K L, YOU G, et al. Causation analysis of risk coupling of gas explosion accident in Chinese underground coal mines[J]. Risk Analysis, 2019, 39(7): 1634-1646.
[16] 徐松鹤，韩传峰，孟令鹏，等. 基于NK模型的突发事件应急管理组织系统适应性研究[J]. 系统工程理论与实践，2017，37（6）：1619-1629.
[17] 段晓红，张妍，侯晓丽. 基于因素耦合分析的道路交通系统脆弱性[J]. 安全与环境学报，2018，18（5）：1749-1755．
[18] 杨芳. 果蔬冷链物流系统安全评估及优化研究[M]. 北京：中国财富出版社，2015.
[19] 张改平，赵颜，李玮. 影响我国冷链物流发展的关键因素分析[J]. 交通运输研究，2019，5(6)：101-108.
[20] QI C M, HU L S. Optimization of vehicle routing problem for emergency cold chain logistics based on minimum loss[J]. Physical Communication, 2020, 40:101085.
[21] 杨扬，杨小佳，喻庆芳. 基于系统动力学的生鲜农产品国际冷链物流运作风险控制研究——以云南省生鲜蔬菜国际冷链物流为例[J]. 北京交通大学学报（社会科学版），2017，16（3）：119-128.
[22] 付邦稳，蒋宏业，徐涛龙，等. 基于N-K模型的城市燃气管道失效可能性因素耦合分析[J]. 中国安全生产科学技术，2018，14（2）：145-149.
[23] 生吉萍，王健健. 冷链物流体系中果蔬产品质量安全问题与对策[J]. 食品科学技术学报，2013，31（6）：10-14.
[24] LEE F, OLAV S. Technology as a complex adaptive system: evidence from patent data[J]. Research Policy, 2001, 30(7): 1019-1039.
[25] 黄文成，帅斌，孙妍. 基于N-K模型的铁路危险品运输系统耦合风险形成机理研究[J]. 铁道学报，2019， 41（5）：1-9.
