机场停机坪作业风险管理研究

停机坪作业具有范围小,保障单位和人员众多等特点,是航空地面事故的多发环节.对停机坪作业存在风险从作业人员、设备和设施、环境、管理等4方面进行识别,然后用AHP定性和定量结合的方法对各风险因素发生的可能性和严重性进行分析,得出各因素风险值,并根据评估结果提出风险控制措施:1)为作业提供良好的人工条件,如良好灯光照明、整齐设备摆放、清晰标识等;2)引进部分设备设施和采用运筹方式合理安排其运行的方式,来解决设备设施数量不能满足需求的问题;3)对于人员执照管理采取定期检查、抽查,定期复训等方式.     

广东省畜牧粪便中喹诺酮类和磺胺类抗生素的含量与分布特征研究

利用超声提取-高效液相色谱技术分析广东省20个规模化猪牛养殖场粪便中4种喹诺酮类(QNs)和4种磺胺类(SAs)抗生素的含量与分布特征.结果表明,猪粪中喹诺酮类和磺胺类化合物均全部被检出,前者总含量(QNs,鲜重,下同)在24.5～1516.2 μg/kg之间,平均为581.0 μg/kg,以恩诺沙星和环丙沙星为主;后者总含量(SAs)在1925.9～13399.5 μg/kg之间,平均为4403.9 μg/kg,以磺胺甲基嘧啶和磺胺甲唑为主.牛粪中喹诺酮类化合物也全部被检出,磺胺类化合物检出率在90%以上,QNs在73.2～ 1328.0 μg/kg之间,平均为572.9 μg/kg,以诺氟沙星和环丙沙星为主;SAs在1039.4～15930.3 μg/kg之间,平均为3787.7 μg/kg,以磺胺甲唑和磺胺甲基嘧啶为主.不同地区畜牧粪便中喹诺酮类和磺胺类化合物的含量与组成特征有明显差异,广州市猪粪和牛粪中两类抗生素的含量均较高,而佛山市、深圳市牛粪中磺胺-5-甲氧嘧啶和磺胺二甲嘧啶均低于检测限.     

Organizational adoption of sustainable manufacturing practices in India: integrating institutional theory and corporate environmental responsibility

Organizations are increasingly engaging in socially and environmentally sustainable initiatives. This paper focuses on the institutional isomorphism mechanisms to analyse the organizational adoption of sustainable manufacturing practices like eco-design, source reduction, and environmental management practices. This paper empirically examines the role of institutional influence in the organizational adoption of sustainable manufacturing practices among firms in India. The results of this study confirm the significance of the three institutional isomorphism mechanisms in influencing sustainable responses, but not all mechanisms influence the organizational response equally. In particular, the results show a strong influence of self-regulatory normative isomorphism on the implementation.     

Sudden-onset disaster resilience considering functionality improvement planning: An upstream oil and gas company

The present paper presents a quantitative approach to evaluate organizational resilience in sudden-onset disasters considering preparedness actions (PAs). The resilience triangle concept is extended and gradual improvement of the level of functionality (LF) strategy is examined as PAs. Robustness and rapidity measures are considered as loss of LF and recovery time to indicate the overall disaster resilience. Besides, the resourcefulness and redundancy measures are considered pre-determined response plans and PAs aimed to improve disaster resilience. Two mathematical models are developed by applying these measures. Thereafter, graphical analytics are conducted to demonstrate the effectiveness of PAs and provide a better outlook for decision-makers. Then, mathematical analyses are conducted to show how the PAs affect resilience measures. It is mathematically proved that PAs exert considerable impacts on recovery time, loss of LF, and robustness. To illustrate the application of the proposed approach, it is applied to an upstream oil and gas company in the field of exploration and production. The results suggest that the approach is significantly effective in disaster response, planning, and mitigation.