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论文编号: | 12453 | |
作者编号: | 2320180845 | |
上传时间: | 2021/6/11 16:22:59 | |
中文题目: | A航空公司航班智能管控软件项目风险管理研究 | |
英文题目: | Research on risk Management of Intelligent flight control system of Airline A | |
指导老师: | 林润辉 教授 | |
中文关键字: | 航空公司;工程管理;软件项目;风险管理; | |
英文关键字: | Airline company; Engineering management ; Software Project; Risk Management; | |
中文摘要: | 近年来,随着互联网+航空业的蓬勃发展,为航空业注入了新的活力和发 展机遇。A公司作为国内知名航空公司,一直专注于智能航空软件平台的建设, 并投资建立了A公司的航班智能管控系统,目的是在当前航班运行体系下,提 出的一套具有自主知识产权,包含通讯、航线论证、应急管理等业务功能的IT 系统解决方案,主要是为了解决当前航班在运营期间各阶段的业务痛点,完善 业务流程,提高工作效率,从而提高航班运营的安全性和质量。然而,A航空 公司在以往软件项目开发的进行过程中,出现了一些风险管控方面的问题,如 涉及到的技术难度很高,政策变化对公司业务影响较大等。这些问题将直接影 响到项目是否能成功运行。因此,为了保证本软件的成功开发,顺利验收,建 立健全适合本项目的风险管理机制可谓是当前首要要解决的问题。 把A航空公司智能管控平台项目做为研究对象,重点研究本项目的风险管 理,同时通过结合风险管理理论,对本项目所存在的内部、外部风险因素逐步 进行识别、归类,并在此基础上进行定性分析;建立起符合项目特点的风险应 对机制。具体过程如下:在风险识别、风险评估、风险应对策略的基础上,对 A航空公司航班中管控系统的风险管理进行了探讨。首先,使用德尔菲法、风 险检查表等专业方法对本项目中可能出现的风险进行了全面的排查,列出风险 表。然后在本项目中建立其矩阵,使用borda方法对识别出来的所有风险进行 赋值,得到风险等级的排序,识别出在不同开发阶段的关键风险。再者,针对 已经识别出的风险,结合以往的经验和专家探讨的法则,有针对性的提出解决 和规避的方法,并将经验推广复制到A航空公司的其他软件项目中去。 通过A航空公司航班智能管控软件项目项目风险管理实践,最终平台提前 一个多月上线,节约预算30万元。经过质量评估,经公司评估,系统性能和安 全性均优于设计要求,需求风险也大大降低。上述取得的成果,从一定程度上 分证实本文的研究对象具有可参考性的价值,可为类似航空软件平台的开发提 供可复制的经验。 | |
英文摘要: | In recent years, with the vigorous development of Internet + aviation industry, the aviation industry has been injected with new vitality and development opportunities. As A famous domestic airlines, A company has focused on intelligent aviation software platform construction, and has established A investment company flight intelligent control system, aims at the current flight operation system, put forward A set of with independent intellectual property rights, include communication, route the demonstration of the IT system, emergency management, and other business functions solution, its purpose is to solve current business pain points in different stages of the flight operations, and improve business processes, improve work efficiency, so as to improve the safety of flight operations and quality. However, Airline A encountered A series of problems in the specific implementation of the flight intelligent control platform project, such as the high technical complexity of the software project itself and the great impact of policy changes on the company's business. These problems will directly affect the success of the project. Therefore, in order to ensure the smooth implementation of the project, it is urgent to establish a sound risk management mechanism and standardize the risk management and practice of the project. Taking the intelligent control platform project of Airline A as the research object, the project focuses on the risk management of this project. Meanwhile, by combining the risk management theory, the internal and external risk factors of this project are gradually identified and classified, and qualitative analysis is conducted on this basis. Establish a risk response mechanism in line with the characteristics of the project. The specific process is as follows: On the basis of risk identification, risk assessment and risk response strategies, the risk management of the flight control system in Airline A is discussed. Firstly, the potential risks in the project are identified and summarized by using the brainstorming method, Delphi method and risk checklist. Secondly, the original matrix is established by referring to the subjective and Abstract III objective conditions to quantify and allocate the risk. Borda sorting voting method is introduced to match the weight of risk factors of different levels, so as to obtain the fine-grained classification of risk levels. Finally, the project management means, such as system establishment and process optimization, are used to compare with the risk assessment results, and the targeted and operational countermeasures are proposed. The feasibility and effectiveness of the countermeasures are fully verified in the project practice, so as to determine the best solution to the problem. Through the project risk management practice of the intelligent flight control system of Airline A, the final platform was launched more than one month ahead of schedule, saving 300,000 YUAN in budget. After the quality assessment, the company assessment, the system performance and safety are better than the design requirements, the demand risk is also greatly reduced. These results prove that the content of this study has a certain practical value and can provide a risk management case reference for the development of similar platforms. | |
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