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一个决策支持工具,用于评估出境航班延误的决策选项,考虑到高价值乘客

A decision support tool for evaluating decision options for out-bound flight delays considering high-valuable passengers

作者:Slavica Radivojevic;Olaf Milbredt;

关键词:Quantifying level of service,DSS tool for airline disruption management,High-fare passengers in airline operations,Decision making at AOCC

DOI:https://doi.org/10.1007/s12544-015-0189-x

发表时间:2015年

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摘要

简介尽管研究表明,准时到达是航空乘客最看重的服务特征,并且在运营中断时会咨询乘客服务协调员,但乘客很少在航空公司的中断管理中推动运营决策。考虑到航空公司在服务质量(SQ)水平不如宣传的情况下寻求防止失去乘客的好感,本研究特别关注转机延误(或入境延误)的影响。 ) 高票价乘客做出继续延误的决定。从运营角度来看,转机乘客对于航空公司来说特别重要,因为他们已经参与了航空公司的运营流程,同时也成为继飞机和机组人员之后第三大航空公司运营方面最重要的方面。另一方面,头等舱、精英舱位、签约企业会员和商务旅客等专属旅客被视为高价值旅客,他们对航空公司来说有足够的(经济)价值,特别是在以下情况下值得等待:他们搭乘入境航班延误抵达。基于从航空公司运营角度进行的检查和确定的优先策略,提出了一种名为 DEVOTED DSS 工具的决策支持系统 (DSS) 工具,用于航空公司运营控制中心 (AOCC) 的中断管理。用于协助航空公司运行管制员决定是否延迟出港航班起飞,以便等待进港航班延误的高票价旅客,了解这些旅客的满意度对继续决策的影响延误情况、每个航班的乘客分段、承运商执行的服务水平 (LOS) 和乘客感知的服务水平 (LOS) 方面的相关后果以及伴随的成本均会考虑在内。方法设计的工具结合了以人为本的设计(HCD)的关键要素,依靠多标准算法构成其决策过程,以评估决策选项和提出建议。该工具是场景驱动且基于知识的,可实施航空公司优先级政策。在此,通过采用依赖于卡诺质量模型的基本分类规则所创建的LOS模型来定量地确定航空公司提供的服务质量水平以及高票价乘客期望和感知的服务质量水平。 结果为了测试该工具,选择了两家具有两种不同优先级策略并且在相同出发地-目的地机场(即城市对)之间的同一航线上运营的定期航空公司。尽管测试是基于真实数据的,但为了揭示所设计工具的具体目标和功能,测试场景的构建方式能够反映特定的边界操作情况,同时强调发生冲突的决策关键标准。该工具的输出由两个部分组成——承运商提供的 LOS 质量,包括延误成本(LOS 航空公司)和两个航班上的高票价乘客感知的服务水平(LOS 乘客)——这反映在用户身上界面采用两个条形,每个条形由三种颜色组成,指示一个选项为好(绿色)、中性(黄色)或差(红色)。尽管操作控制器可能会采取与建议相反的决定,但该工具能够显示对所做任何决定的后果的评估,同时可视化为位于三色条上某处的比例值。结论调查乘客结构对日常航班运营执行中的继续延误决策的影响,这是一种决策支持实时工具,面向 VIP 的延误决策支持系统(DEVOTED DSS) )创建,根据高票价乘客舱位重要性的评级实施(预先指定的)航空公司优先级政策。以设计形式显示的决策解决方案的结果在用户友好地使用DEVOTED方面是实用的,并且简单且易于处理,因为摆脱了任何数字、数据和/或计算。为了准确评估运营中断决策对高票价乘客的影响,DEVOTED 处理将交付给这些乘客的 LOS 质量、这些乘客所需/期望的 SQ 属性、每个定义的乘客中的乘客数量团体和购买的门票价格以及预期费用。首次将转机航班中同一舱位的进出港高票价旅客并列作为航空公司中断管理决策过程的影响因素。当要在金钱利益和保留可靠服务提供商的声誉之间做出选择时,使用设计的工具可以提供相当客观的决策,而不是在这种中断中仍然发生的直观决策。


Abstract

IntroductionThough studies show that arriving on-time is the service characteristic most valued by the air passengers and passenger service coordinators are consulted in the operation disruptions, passengers rarely drive operational decision-making in the disruption management of an airline. Taking into consideration airlines’ seeking the prevention of losing passengers’ goodwill in situations where the level of service quality (SQ) performed is not as high as the promoted one, this research is focused particularly on an influence of delayed connecting (or in-bound) high-fare passengers on making decisions on onward delays. Operationally seen, connecting passengers are of a particular importance for airlines, since they are already involved in their operations-flow, while becoming in this way the third most important airlines’ aspect of operations, succeeding aircraft and crew. On the other hand, exclusive travellers such as first class and elite-status, contracted corporate members, and business passengers are considered as the high-valuable passengers, who are enough (financially) worth to the airline, particularly for to be waited for if they are delayed in arriving with an in-bound flight. Based upon an examination made from the airlines’ operational point of view and for determined prioritization strategy, a Decision Support System (DSS) tool, named DEVOTED DSS Tool, for use in the disruption management of the Airline Operation Control Centre (AOCC) is presented. For assisting the airline operation controllers in decisions on whether to delay the departure of out-bound flights in order to wait for arriving-delayed high-fare passengers from an in-bound flight, an influence of these passengers’ satisfaction on making decisions on onward delays, the passenger segmentation per flight, associated consequences in terms of the Level of Service (LOS) performed by the carrier and the one perceived by the passengers, as well as the accompanying costs are taken into account.MethodsThe designed tool incorporates the key elements of Human-Centred Design (HCD) relying on a multi-criteria algorithm making-up its decision making process for evaluation of decision options and making suggestion. Being scenario-driven and knowledge-based the tool implements the airline prioritisation policies. Hereby, the level of service quality delivered by the air carrier and the level of service quality expected and perceived by the high-fare passengers are determined quantitatively by employing a created LOS-model which relies on the basic categorization rules of the Kano’s quality model.ResultsFor testing of the tool, two scheduled airlines with two different prioritization strategies and operating on the same flight route between the same origin-destination airports (i.e. city-pairs) are taken. Though the testing is real-world data based, in order to expose a tangible aim and capabilities of the designed tool, the testing scenarios are constructed in such a way to reflect specific borderline operational situations, while emphasizing occurring conflicting decision key criteria. The tool output consists of two components – the LOS quality delivered by the carrier including the delay-costs (LOS Airline) and the level of service perceived by the high-fare passengers on both flights (LOS Passenger) – which are reflected on the user interface in form of two bars, each consisting of three colours indicating an option as good (green), neutral (yellow) or bad (red). Although the operation controller may take the opposite decision as recommended, the tool is enabled to display the evaluation of consequences of any decision made, while being visualized as a scale-value positioned somewhere on the three- colour-bar.ConclusionInvestigating the impact of a passenger-structure on decisions on onward-delays in the every-day flight operations execution, a decision support real-time tool, De laying V IPs O rien ted D ecision S upport S ystem (DEVOTED DSS) was created, implementing (pre-specified) airline prioritisation policy in accordance with the rating of the high-fare passengers-classes importance. The decision solutions’ consequences displayed in the designed form are practical in terms of user-friendly utilization of DEVOTED and are simple and easy to deal with, since being relieved of any digits, data and/or calculations. Aiming at accurately evaluating the impact of operational disruption-decisions on the high-fare passengers, DEVOTED processes the LOS quality which is to be delivered to these passengers, SQ-attributes required/expected by these passengers, number of passengers in each defined passenger-group and the ticket prices purchased, as well as expected costs. For the first time, an introduced juxtaposition of the in-bound and out-bound high-fare passengers of the same cabin-class within connecting flights has been employed as an influencing factor in the decision making process of the airline disruption management. When it is about to make the choice between a monetary benefit and the retention of the reputation of a reliable service provider, the use of the designed tool affords rather objective instead the still occurring intuitive decision making in such disruptions.