Editorial: Special issue: Multiple Criteria Decision Making in Air Transport Management
Journal of Air Transport Management
You share, we take care!' -Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in Decision making is a key element of management. Managers, who are also called decision makers (DMs) in this role, should identify, analyse, and decide on alternatives, which are evaluated in terms of multiple criteria. During the past decades several Multiple Criteria Decision Making (MCDM) methods have been developed to support managers in transforming multi-dimensional data
... into the meaningful conclusions. Air transport and logistics is an area in which MCDM approaches become more and more prevailing. The special issue was open to the applications of the MCDM methods, including both multi-attribute decision-making and multi-objective optimization approaches, in all areas of air transport and logistics management. The call solicited 41 submissions, sixteen of which were accepted for publication following the rigorous review process of the Journal of Air Transport Management. The papers contained in the special issue cover a variety of interesting and complex multiple criteria problems in the diverse areas of air transport and logistics. These areas range from the evaluation of airport performance and airline service quality, the analysis of airport risk and traffic controllers stress factors, through the fleet management and assignment problems, selection of aircraft types and aviation fuels, to operational maintenance as well as optimization of aircraft routing and hub allocation. The decision analysis approaches used to tackle these problems include evolutionary optimization algorithms. In what follows, we briefly summarize the content of individual papers. Payam Shojaei, Seyed Amin Seyed Haeri, and Sahar Mohammadi propose a hybrid MCDM method including BWM, VIKOR, and Taguchi loss function for airport evaluation and ranking. Reviewing the literature, they first identify six major criteria for airport evaluation. Taguchi loss function is used to compute the quality loss associated with each criterion for each airport based on DMs' opinion. Structured pairwise comparison data is collected from eight knowledgeable experts. The linear BWM is then used to find the optimal weight of the evaluation criteria using the structured pairwise comparison. Finally, based on the results obtained from the Taguchi loss function and BWM, a decision matrix is formed, and airports are ranked using the VIKOR technique. The authors use the proposed approach to rank 21 major airports located in Iran. Mustafa Jahangoshai Rezaee, and Samuel Yousefi propose a hybrid MCDM approach including a fuzzy cognitive map (FCM) method and a slackbased data envelopment analysis (DEA) for identifying and analysing airport risks. Airport risks (e.g., small or uneven aerodrome, icing, inappropriate air traffic management, or abnormal runway contact) are considered as alternatives. The impacts of each risk on the system objectives (e.g., increasing costs, increasing time delay, or increasing the risk of flight) are considered as evaluation criteria. FCM is used to identify the airport risks and system objectives (measurement factors). A learning algorithm based on the extended Delta rule is used to study the impact of each risk on the system objectives. Finally, a slack-based DEA is used to rank the risks. The proposed approach is employed for identifying and analysing airport risks at an International Airport located in Iran, the results of which show the main risks at this airport including: "lack of staff training", "inappropriate ground handling" and "inoperable navigation aid". The proposed approach can be used to identify and prioritize the risks at other international airports. Mohamed Eshtaiwi, Ibrahim Badi, Ali Abdulshahed, and Turan Erman Erkan use AHP for measuring the airport performance. Reviewing the literature, they identify a list of five key performance areas which can be used to evaluate the performance of an airport, including passenger service, airside area, financial perspective, safety and security, and environmental. Then, the authors assign a number of key performance indicators (which are again based on a literature review) to each key performance area. Pairwise comparison data is collected from a sample of experts. AHP is used to find the weights of the KPIs. Finally, they consider three Libyan airports and ranked the airports with respect to the identified KPIs. The proposed MCDM framework (key performance areas and the KPIs) can be used to evaluate the performance of other airports in other counties. Himanshu Gupta proposes a hybrid MCDM method including BWM and VIKOR for evaluating the service quality of airline industry. An extensive literature review is conducted to identify the criteria for evaluating the service quality of an airline. BWM is used to find the weights of the service quality criteria. VIKOR is used to rank the airlines and find the best airline with respect to these criteria. The results of BWM show that tangibility, reliability, security and safety, and ticket pricing are the most important criteria in evaluating service quality of an airline. The author considers five major Indian airlines for the study. They are ranked using the VIKOR method. Understanding the importance of different service quality criteria helps airlines to focus on the most important attributes in order to attract more passengers. Among others, tangibles and appearances of their aircrafts and waiting lounges could have a significant impact on their goal. The proposed approach, which improves the use of SERVQUAL in evaluating service quality of the airlines, can be used by other major airlines in other countries as well.