scholarly journals Comparative analysis of airline financial and operational performances: A fuzzy AHP and TOPSIS integrated approach

2021 ◽  
Vol 10 (3) ◽  
pp. 361-374
Author(s):  
Ki-Hwan Gabriel Bae ◽  
Aman Gupta ◽  
Ronald Mau
Keyword(s):  
Hybrid Method ◽  
Airline Industry ◽  
Evaluation System ◽  
Performance Metrics ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Integrated Approach ◽  
Performance Criteria ◽  
Modeling Framework ◽  
Airline Performance

Already faced with tight competition and low profit margins, the airline industry is going through major changes in the wake of the current pandemic resulting in travel restrictions and slump demands, prompting airlines to curtail services and investments in every aspect of business. To that end, developing a comprehensive method of improving airline performance measures is crucial. However, this type of problem is complex to solve due to a large number of factors, requiring a systematic approach. It entails taking into account a multitude of conflicting, or sometimes interrelated criteria, hence becoming an inherently multiple criteria decision making problem. This study is aimed to assess the competitiveness of airlines and evaluate their financial and operational performances in relation to such criteria. We test FAHP, TOPSIS, and a hybrid method of combining FAHP and TOPSIS methods. In particular, regarding the hybrid method, FAHP is employed to determine the influential weights of criteria that are utilized in TOPSIS for preference values among alternatives. We demonstrate the applicability of the proposed methods to solving a MCDM problem of airline performance assessments using real data sets. Further, this study focuses on examining the relationship between financial and operational performance criteria, as well as gleaning insights for airlines to build an evaluation system that would aid in understanding their strength and weakness in the performance metrics. The computational experiment results of our hybrid FAHP-TOPSIS model support the efficacy of incorporating fuzzy values concerning influential weight criteria. By judiciously distributing criteria weights that are specific to the airline industry, our proposed model captures preference scores reflective of industry-related and concurrent measures. This modeling framework can help airlines better evaluate the systematic influential relation structure among criteria in critical financial and operational dimensions.

scholarly journals MULTIPLE CRITERIA DECISION-MAKING TECHNIQUES IN TRANSPORTATION SYSTEMS: A SYSTEMATIC REVIEW OF THE STATE OF THE ART LITERATURE

Transport ◽  
2015 ◽  
Vol 31 (3) ◽  
pp. 359-385 ◽  
Author(s):  
Abbas Mardani ◽  
Edmundas Kazimieras Zavadskas ◽  
Zainab Khalifah ◽  
Ahmad Jusoh ◽  
Khalil MD Nor
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Airline Industry ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Research Problem ◽  
Transportation Systems ◽  
Multiple Criteria ◽  
Transport Infrastructure ◽  
Application Area

The main goal of this review paper is to provide a systematic review of Multiple Criteria Decision-Making (MCDM) techniques in regard to transportation systems problems. This study reviewed a total of 89 papers, published from 1993 to 2015, from 39 high-ranking journals; most of which were related to transportation science and were extracted from the Web of Science and Scopus databases. Papers were classified into 10 main application areas and nine transport infrastructure. Furthermore, papers were categorized based on the author(s) and year, name of the journal in which they were published, technique and approach, author(s) nationality, application area and scope, study purpose, gap and research problem and results and outcome. The results of this study indicated that more papers on MCDM in 2013 than in any other year. AHP and Fuzzy-AHP methods in the individual methods and hybrid MCDM and fuzzy MCDM in the integrated methods were ranked as the first and second methods in use, respectively. The Transportation Research Part A: Policy and Practice was the most significant journal in this study, with 13 publications on the topic. Finally, service quality was ranked as the first application area and airline industry was ranked as the first transport infrastructure that applied MCDM techniques.

scholarly journals APPLICATION OF MULTIPLE-CRITERIA DECISION-MAKING TECHNIQUES AND APPROACHES TO EVALUATING OF SERVICE QUALITY: A SYSTEMATIC REVIEW OF THE LITERATURE

2015 ◽  
Vol 16 (5) ◽  
pp. 1034-1068 ◽  
Author(s):  
Abbas Mardani ◽  
Ahmad Jusoh ◽  
Edmundas Kazimieras Zavadskas ◽  
Zainab Khalifah ◽  
Khalil Md Nor
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Service Quality ◽  
Airline Industry ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Research Problem ◽  
Multiple Criteria ◽  
Application Area ◽  
Analytic Hierarchy

The main purpose of this paper is to present a systematic review of multiple- criteria decision-making (MCDM) techniques used in the assessment of service qual- ity. This study reviewed a total of 79 articles from 51 journals, published from 2001 to 2015. Articles were classified into 10 application areas and scopes. Furthermore, articles were categorised based on an author, year, application area, the nationality of the author, ‏technique, a number of criteria, research purpose, gap and research problem, results and outcome. The best criteria were determined in each article. The results of this study re- vealed that more papers on MCDM were published in 2011 than in any other year. Inte- grated techniques, analytic hierarchy process (AHP) and fuzzy AHP methods, were ranked as first and second methods in use, respectively. Finally, the airline industry was ranked as the first application area, in which previous studies applied MCDM techniques for the evaluation of the service quality. This research contributes to the existing literature on the service quality and MCDM. The research outputs are valuable to academics scholars and leaders of organisations and industries in the field of service quality evaluation.

scholarly journals An Intrigrated Novel Approach in MCDM under Fuzziness

2013 ◽  
pp. 121-128
Author(s):  
Tuli Bakshi ◽  
Arindam Sinharay
Keyword(s):  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Integrated Approach ◽  
Project Selection ◽  
Assessment Method ◽  
Triangular Fuzzy Number ◽  
Computational Technique ◽  
Second Phase ◽  
Fuzzy Decision ◽  
Ahp Method

Multiple Criteria Decision Making (MCDM) shows promising areas of applications in the field of computational technique of proper project selection. There are four distinct families of methods in MCDM: (a) the outranking,(b) the theory based on value and utility, (c) the multiple objective programming and (d) collaborative decision and negotiation theory based method. An Analytical way to reach the best possible solution of project selection is most desirable. Analytical Hierarchy Process (AHP) is one of the best ways for deciding among the complex criteria structure in different levels. Fuzzy AHP is a synthetic extension of classical AHP method under fuzziness. A fuzzy decision may be viewed as an intersection of the given goals and constraints. A maximizing decision is defined as a point in the space of alternatives at which the membership function of a fuzzy decision attains its maximum value. This paper aims at the integration of fuzzy AHP and Additive Ratio Assessment Method (ARAS). It actually deals with a novel integrated approach of dual synthesis of project selection. At first fuzzy AHP, method is used to find the criteria coefficient with the performance evaluation in a certain environment where triangular fuzzy number describes the subjectivity of vagueness of the criteria. In the second phase, ARAS method is used to determine the rank of the final project selection.

scholarly journals Benchmarking homogenization algorithms for monthly data

2012 ◽  
Vol 8 (1) ◽  
pp. 89-115 ◽  
Author(s):  
V. K. C. Venema ◽  
O. Mestre ◽  
E. Aguilar ◽  
I. Auer ◽  
J. A. Guijarro ◽  
...  
Keyword(s):  
Time Series ◽  
Performance Metrics ◽  
Linear Trend ◽  
Simulated Data ◽  
Integrated Approach ◽  
Global Network ◽  
Temperature And Precipitation ◽  
Skill Scores ◽  
Simulated Network ◽  
The Individual

Abstract. The COST (European Cooperation in Science and Technology) Action ES0601: advances in homogenization methods of climate series: an integrated approach (HOME) has executed a blind intercomparison and validation study for monthly homogenization algorithms. Time series of monthly temperature and precipitation were evaluated because of their importance for climate studies and because they represent two important types of statistics (additive and multiplicative). The algorithms were validated against a realistic benchmark dataset. The benchmark contains real inhomogeneous data as well as simulated data with inserted inhomogeneities. Random independent break-type inhomogeneities with normally distributed breakpoint sizes were added to the simulated datasets. To approximate real world conditions, breaks were introduced that occur simultaneously in multiple station series within a simulated network of station data. The simulated time series also contained outliers, missing data periods and local station trends. Further, a stochastic nonlinear global (network-wide) trend was added. Participants provided 25 separate homogenized contributions as part of the blind study. After the deadline at which details of the imposed inhomogeneities were revealed, 22 additional solutions were submitted. These homogenized datasets were assessed by a number of performance metrics including (i) the centered root mean square error relative to the true homogeneous value at various averaging scales, (ii) the error in linear trend estimates and (iii) traditional contingency skill scores. The metrics were computed both using the individual station series as well as the network average regional series. The performance of the contributions depends significantly on the error metric considered. Contingency scores by themselves are not very informative. Although relative homogenization algorithms typically improve the homogeneity of temperature data, only the best ones improve precipitation data. Training the users on homogenization software was found to be very important. Moreover, state-of-the-art relative homogenization algorithms developed to work with an inhomogeneous reference are shown to perform best. The study showed that automatic algorithms can perform as well as manual ones.

A Hybrid MCDM Approach for Solving the ERP System Selection Problem with Application to Steel Industry

2012 ◽  
Vol 8 (3) ◽  
pp. 54-73 ◽  
Author(s):  
Ahmad Jafarnejad ◽  
Manoucher Ansari ◽  
Hossein Rahmany Youshanlouei ◽  
Mohammad Mood
Keyword(s):  
Enterprise Resource Planning ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Resource Planning ◽  
Erp System ◽  
Or Organization ◽  
Entropy Technique ◽  
System Selection ◽  
Selection Of

Selecting a proper system of Enterprise Resource Planning (ERP) is a major challenge for enterprise managers. Heavy expenses of incorrect decisions in selection of ERP systems have made academics and managers consider this phase as highly important. Several research studies proposed different approaches to selecting the ERP and many case studies of organizational experiences have been published. However, there has been less regard for simultaneous use of the findings of academic studies and judgments of industrial experts or organization mangers for making the most appropriate choice. This study proposes a combined multiple-criteria decision-making (MCDM) approach through which both previous studies and judgments of industrial experts or organization managers would be integrated in order to select the proper ERP system. Having studied the literature comprehensively and conducted interviews with experts and managers, this approach will determine the most important criteria in ERP selection using Shannon entropy technique. Then, based on the judgments obtained from experts and using DEMATEL technique, these criteria will be classified into the two groups of “Cause” and “Effect” and the most appropriate choice will be selected using Fuzzy AHP technique. Finally, a case study is conducted to demonstrate and prove the applicability of the proposed approach.

A cradle-to-cradle analysis in the toner cartridge supply chain using fuzzy recycling production approach

2019 ◽  
Vol 30 (2) ◽  
pp. 329-345 ◽  
Author(s):  
Chun-Wei Lin ◽  
Shiou-Yun Jeng ◽  
Ming-Lang Tseng ◽  
Raymond Tan
Keyword(s):  
Evaluation System ◽  
Design Method ◽  
Environmental Law ◽  
Integrated Approach ◽  
Life Cycles ◽  
Green Product ◽  
Production Plan ◽  
Content Type ◽  
The Usa ◽  
Cradle To Cradle

Purpose The purpose of this paper is to develop an integrated approach for a green product cradle-to-cradle (C2C) fuzzy recycling production planning model. Design/methodology/approach This paper applies the failure mode and effects analysis technique and Taguchi experimental design method, develops a green product C2C performance evaluation system that considers the fuzzy impacts of environmental laws and regulations, green goodwill, and environmental efficiency of targeting countries, and decides both the optimal green production plan and estimated optimal life cycles. Findings This study compares the different degree of maturity in environmental regulations, and various recycling situations are simulated to demonstrate the successful applicability of the proposed model as well as the incentive policy for Taiwan, the USA and Bangladesh. Originality/value Previous studies failed both to develop a holistic recycling production plan which is able to consider both the optimal combination of recycled components used and final green products produced with the maximum total resultant sales profit and to consider the potential failure phenomenon of recycled components adopted in the final product. Furthermore, most prior studies ignored the influence of environmental law, goodwill of the product and the efficiency of recycling mechanism of the community.

scholarly journals An Integrated Approach to Product Delivery Planning and Scheduling

2011 ◽  
Vol 45 (1) ◽  
pp. 97-103 ◽  
Author(s):  
Galina Merkuryeva ◽  
Vitaly Bolshakov ◽  
Maksims Kornevs
Keyword(s):  
Cluster Analysis ◽  
Clustering Algorithm ◽  
Expert Knowledge ◽  
Real Life ◽  
Integrated Approach ◽  
Classification Model ◽  
Performance Criteria ◽  
Planning And Scheduling ◽  
Delivery Planning ◽  
Product Delivery

An Integrated Approach to Product Delivery Planning and SchedulingProduct delivery planning and scheduling is a task of high priority in transport logistics. In distribution centres this task is related to deliveries of various types of goods in predefined time windows. In real-life applications the problem has different stochastic performance criteria and conditions. Optimisation of schedules itself is time consuming and requires an expert knowledge. In this paper an integrated approach to product delivery planning and scheduling is proposed. It is based on a cluster analysis of demand data of stores to identify typical dynamic demand patterns and product delivery tactical plans, and simulation optimisation to find optimal parameters of transportation or vehicle schedules. Here, a cluster analysis of the demand data by using the K-means clustering algorithm and silhouette plots mean values is performed, and an NBTree-based classification model is built. In order to find an optimal grouping of stores into regions based on their geographical locations and the total demand uniformly distributed over regions, a multiobjective optimisation problem is formulated and solved with the NSGA II algorithm.

An Integrated Approach of Fuzzy-AHP-TOPSIS for E-commerce Evaluation

2021 ◽  
Vol 20 (2) ◽  
pp. 82-95
Author(s):  
Tran Thi Tham ◽  
Hong-Phuc Nguyen
Keyword(s):  
Fuzzy Ahp ◽  
Integrated Approach

THE APPLICATION OF FUZZY AHP – VIKOR HYBRID METHOD TO INVESTIGATE THE STRATEGY FOR REDUCING AIR POLLUTION FROM DIESEL POWERED VESSELS

2021 ◽  
Vol 162 (A3) ◽  
Author(s):  
H Demirel ◽  
M Mollaoğlu ◽  
U Bucak ◽  
T Arslan ◽  
A Balin
Keyword(s):  
Air Pollution ◽  
Human Health ◽  
Hybrid Method ◽  
Fossil Fuels ◽  
Fuzzy Ahp ◽  
Maritime Transportation ◽  
Fuel Oil ◽  
Fuel Quality ◽  
Heavy Fuel Oil ◽  
Marine Areas

The negative impact of air pollution on human health had become a vital issue as a result of the increasing use of fossil fuels in recent years. In this context, maritime transportation is one of the most contaminant sectors by using much more fossil fuels. Ships which have a major role in maritime transport, directly affect human health via its emissions, especially in marine areas close to the land such as around the ports, canals, and straits. In this study, strategies were gathered by evaluating International Maritime Organization (IMO) regulations, European Union (EU) recommendations and the applications of the ship owner companies to reduce air pollution stem from ships, and considering the priority perception of these strategies, the effect level of the strategies at the marine areas where ships are approaching the land was analysed by the Fuzzy Analytic Hierarchy Process-Visekriterijumska Optimizacija I Kompromisno Resenje (AHP- VIKOR) hybrid method. As a result of the study, the most effective strategies appeared as “Forbiddance of Heavy Fuel Oil (HFO) usage on Ships” and “Detection of Low Sulphur Fuel Usage by the help of Remote Detector Systems”, and it was seen that these strategies would be most effective in canal or strait passing of the ships. It was also revealed that the relevant expert opinions and IMO regulations meshed together, and it was pointed out the applications for increasing fuel quality.

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